At AU 2025, Autodesk took a significant step forward in its AI journey, extending far beyond the slide-deck ambitions of previous years.

During CEO Andrew Anagnost’s keynote, the company unveiled brand-new AI tools in live demonstrations using pre-beta software. It was a calculated risk — particularly in light of recent high-profile hiccups from Meta — but the reasoning was clear: Autodesk wanted to show it has tangible, functional AI technology and it will be available for customers to try soon.

The headline development is ‘neural CAD’, a completely new category of 3D generative AI foundation models that Autodesk says could automate up to 80–90% of routine design tasks, allowing professionals to focus on creative decisions rather than repetitive work. The naming is very deliberate, as Autodesk tries to differentiate itself from the raft of generic AEC-focused AI tools in development.

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neural CAD AI models will be deeply integrated into BIM workflows through Autodesk Forma, and product design workflows through Autodesk Fusion. They will ‘completely reimagine the traditional software engines that create CAD geometry.’

Autodesk is also making big AI strides in other areas. Autodesk Assistant is evolving beyond its chatbot product support origins into a fully agentic AI assistant that can automate tasks and deliver insights based on natural-language prompts.

Big changes are also afoot in Autodesk’s AEC portfolio – developments that will have a significant impact on the future of Revit.

The big news was the release of Forma Building Design, a brand-new tool for LoD 200 detailed design (learn more in this AEC Magazine article). Autodesk also announced that its existing early-stage planning tool, Autodesk Forma, will be rebranded as Forma Site Design and Revit will gain deeper integration with the Forma industry cloud, becoming Autodesk’s first Connected client.

neural CAD

neural CAD marks a fundamental shift in Autodesk’s core CAD and BIM technology. As Anagnost explained, “The various brains that we’re building will change the way people interact with design systems.”

Unlike general-purpose large language models (LLMs) such as ChatGPT and Claude, or AI image generation models like Stable Diffusion and Nano Banana, neural CAD models are specifically designed for 3D CAD. They are trained on professional design data, enabling them to reason at both a detailed geometry level and at a systems and industrial process level.

neural CAD marks a big leap forward from Project Bernini, which Autodesk demonstrated at AU 2024. Bernini turned a text, sketch or point cloud ‘prompt’ into a simple mesh that was not best suited for further development in CAD. In contrast, neural CAD delivers ‘high quality’ ‘editable’ 3D CAD geometry directly inside Forma or Fusion, just like ChatGPT generates text and Midjourney generates pixels.

Autodesk has so far presented two types of neural CAD models: ‘neural CAD for geometry’, which is being used in Fusion and ‘neural CAD for buildings’, which is being used in Forma.

For Fusion, there are two AI model variants, as Tonya Custis, senior director, AI research, explained, “One of them generates the whole CAD model from a text prompt. It’s really good for more curved surfaces, product use cases. The second one, that’s for more prismatic sort of shapes. We can do text prompts, sketch prompts and also what I call geometric prompts. It’s more of like an auto complete, like you gave it some geometry, you started a thing, and then it will help you continue that design.”

On stage, Mike Haley, senior VP of research, demonstrated how neural CAD for geometry could be used in Fusion to automatically generate multiple iterations of a new product, using the example of a power drill.

“Just enter the prompts or even drawing and let the CAD engines start to produce options for you instantly,” he said. “Because these are first class CAD models, you now have a head start in the creation of any new product.”

It’s important to understand that the AI doesn’t just create dumb 3D geometry – neural CAD also generates the history and sequence of Fusion commands required to create the model. “This means you can make edits as if you modelled it yourself,” he said.

Meanwhile, in the world of BIM, Autodesk is using neural CAD to extend the capabilities of Forma Building Design to generate BIM elements.

The current aim is to enable architects to ‘quickly transition’ between early design concepts and more detailed building layouts and systems with the software ‘autocompleting’ repetitive aspects of the design.

Instead of geometry, ‘neural CAD for buildings’ focuses more on the spatial and physical relationships inherent in buildings as Haley explained. “This foundation model rapidly discovers alignments and common patterns between the different representations and aspects of building systems.

“If I was to change the shape of a building, it can instantly recompute all the internal walls,” he said. “It can instantly recompute all of the columns, the platforms, the cores, the grid lines, everything that makes up the structure of the building. It can help recompute structural drawings.”

At AU, Haley demonstrated ‘Building Layout Explorer’, a new AI-driven feature coming to Forma Building Design. He presented an example of an architect exploring building concepts with a massing model, “As the architect directly manipulates the shape, the neural CAD engine responds to these changes, auto generating floor plan layouts,” he said.

But, as Haley pointed out, for the system to be truly useful the architect needs to have control over what is generated, and therefore be able to lock down certain elements, such as a hallway, or to directly manipulate the shape of the massing model.

“The software can re-compute the locations and sizes of the columns and create an entirely new floor layout, all while honouring the constraints the architect specified,” he said.

This feels like a pivotal moment in Autodesk’s AI journey, as the company moves beyond ambitions and experimentation into production-ready AI that is deeply integrated into its core software

Of course, it’s still very early days for neural CAD and, in Forma, ‘Building Layout Explorer’ is just the beginning.

Haley alluded to expanding to other disciplines within AEC, “Imagine a future where the software generates additional architectural systems like these structural engineering plans or plumbing, HVAC, lighting systems and more.”

In the future, neural CAD in Forma will also be able to handle more complexity, as Custis explains. “People like to go between levels of detail, and generative AI models are great for that because they can translate between each other. It’s a really nice use case, and there will definitely be more levels of detail. We’re currently at LoD 200.”

The training challenge

neural CAD models are trained on the typical patterns of how people design. “They’re learning from 3D design, they’re learning from geometry, they’re learning from shapes that people typically create, components that people typically use, patterns that typically occur in buildings,” said Haley.

In developing these AI models, one of the biggest challenges for Autodesk has been the availability of training data. “We don’t have a whole internet source of data like any text or image models, so we have to sort of amp up the science to make up for that,” explained Custis.

For training, Autodesk uses a combination of synthetic data and customer data. Synthetic data can be generated in an ‘endless number of ways’, said Custis, including a ‘brute force’ approach using generative design or simulation.

Customer data is typically used later-on in the training process. “Our models are trained on all data we have permission to train on,” said Amy Bunszel, EVP, AEC.

But customer data is not always perfect, which is why Autodesk also commissions designers to model things for them, generating what chief scientist Daron Green describes as gold standard data. “We want things that are fully constrained, well annotated to a level that a customer wouldn’t [necessarily] do, because they just need to have the task completed sufficiently for them to be able to build it, not for us to be able to train against,” he said.

Of course, it’s still very early days for neural CAD and Autodesk plans to improve and expand the models, “These are foundation models, so the idea is we train one big model and then we can task adapt it to different use cases using reinforcement learning, fine tuning. There’ll be improved versions of these models, but then we can adapt them to more and more different use cases,” said Custis. In the future, customers will be able to customise the neural CAD foundation models, by tuning them to their organisation’s proprietary data and processes. This could be sandboxed, so no data is incorporated into the global training set unless the customer explicitly allows it.

“Your historical data and processes will be something you can use without having to start from scratch again and again, allowing you to fully harness the value locked away in your historical digital data, creating your own unique advantages through models that embody your secret source or your proprietary methods,” said Haley.

Agentic AI: Autodesk Assistant

When Autodesk first launched Autodesk Assistant, it was little more than a natural language chatbot to help users get support for Autodesk products.

Now it’s evolved into what Autodesk describes as an ‘agentic AI partner’ that can automate repetitive tasks and help ‘optimise decisions in real time’ by combining context with predictive insights.

Autodesk demonstrated how in Revit, Autodesk Assistant could be used to quickly calculate the window to wall ratio on a particular façade, then replace all the windows with larger units. The important thing to note here is that everything is done though natural language prompts, without the need to click through multiple menus and dialogue boxes.

Autodesk Assistant can also help with documentation in Revit, making it easier to use drawing templates, populate title blocks and automatically tag walls, doors and rooms. While this doesn’t yet rival the auto-drawing capabilities of Fusion, when asked about bringing similar functionality to Revit, Bunszel noted, ‘We’re definitely starting to explore how much we can do.’

Autodesk also demonstrated how Autodesk Assistant can be used to automate manual compliance checking in AutoCAD, a capability that could be incredibly useful for many firms.

“You’ll be able to analyse a submission against your drawing standards and get results right away, highlighting violations and layers, lines, text and dimensions,” said Racel Amour, head of generative AI, AEC.

Meanwhile, in Civil 3D it can help ensure civil engineering projects comply with regulations for safety, accessibility and drainage, “Imagine if you could simply ask the Autodesk Assistant to analyse my model and highlight the areas that violate ADA regulations and give me suggestions on how to fix it,” said Amour.

So how does Autodesk ensure that Assistant gives accurate answers? Anagnost explained that it takes into account the context that’s inside the application and the context of work that users do.

“If you just dumped Copilot on top of our stuff, the probability that you’re going to get the right answer is just a probability. We add a layer on top of that that narrows the range of possible answers.”

“We’re building that layer to make sure that the probability of getting what you want isn’t 70%, it’s 99.99 something percent,” he said.

While each Autodesk product will have its own Assistant, the foundation technology has also been built with agent-to-agent communication in mind – the idea being that one Assistant can ‘call’ another Assistant to automate workflows across products and, in some cases, industries.

“It’s designed to do three things: automate the manual, connect the disconnected, and deliver real time insights, freeing your teams to focus on their highest value work,” said CTO, Raji Arasu.

In the context of a large hospital construction project, Arasu demonstrated how a general contractor, manufacturer, architect and cost estimator could collaborate more easily through natural language in Autodesk Assistant. She showed how teams across disciplines could share and sync select data between Revit, Inventor and Power Bi, and manage regulatory requirements more efficiently by automating routine compliance tasks. “In the future, Assistant can continuously check compliance in the background. It can turn compliance into a constant safeguard, rather than just a one-time step process,” she said.

Arasu also showed how Assistant can support IT administration — setting up projects, guiding managers through configuring Single Sign-On (SSO), assigning Revit access to multiple employees, creating a new project in Autodesk Construction Cloud (ACC), and even generating software usage reports with recommendations for optimising licence allocation.

Agent-to-agent communication is being enabled by Model Context Protocol (MCP) servers and Application Programming Interfaces (APIs), including the AEC data model API, that tap into Autodesk’s cloud-based data stores.

APIs will provide the access, while Autodesk MCP servers will orchestrate and enable Assistant to act on that data in real time.

As MCP is an open standard that lets AI agents securely interact with external tools and data, Autodesk will also make its MCP servers available for third-party agents to call.

All of this will naturally lead to an increase in API calls, which were already up 43% year on year even before AI came into the mix. To pay for this Autodesk is introducing a new usage-based pricing model for customers with product subscriptions, as Arasu explains, “You can continue to access these select APIs with generous monthly limits, but when usage goes past those limits, additional charges will apply.”

But this has raised understandable concerns among customers about the future, including potential cost increases and whether these could ultimately limit design iterations.

The human in the loop

Autodesk is designing its AI systems to assist and accelerate the creative process, not replace it. The company stresses that professionals will always make the final decisions, keeping a human firmly in the loop, even in agent-to-agent communications, to ensure accountability and design integrity.

“We are not trying to, nor do we aspire to, create an answer, “says Anagnost. “What we’re aspiring to do is make it easy for the engineer, the architect, the construction professional – reconstruction professional in particular – to evaluate a series of options, make a call, find an option, and ultimately be the arbiter and person responsible for deciding what the actual final answer is.”

AI computation

It’s no secret that AI requires substantial processing power. Autodesk trains all its AI models in the cloud, and while most inferencing — where the model applies its knowledge to generate real-world results — currently happens in the cloud, some of this work will gradually move to local devices.

This approach not only helps reduce costs (since cloud GPU hours are expensive) but also minimises latency when working with locally cached data.

AI research

Autodesk also gave a sneak peek into some of its experimental AI research projects. With Project Forma Sketch, an architect can generate 3D models in Forma by sketching out simple massing designs with a digital pencil and combining that with speech. In this example, the neural CAD foundation model interacts with large language models to interpret the stream of information.

Elsewhere, Amour showed how Pointfuse in Recap Pro is building on its capability to convert point clouds into segmented meshes for model coordination and clash detection in Revit. “We’re launching a new AI powered beta that will recognise objects directly from scans, paving the way for automated extraction, for building retrofits and renovations,” she said.

Autodesk has also been working with global design, engineering, and consultancy firm Arcadis to pilot a new technology that uses AI to see inside walls to make it easier and faster to retrofit existing buildings.

Instead of destructive surveys, where walls are torn down, the AI uses multimodal data – GIS, floor plans, point clouds, Thermal Imaging, and Radio Frequency (RF) scans – to predict hidden elements, such as mechanical systems, insulation, and potential damage.

The AI-assisted future

AU 2025 felt like a pivotal moment in Autodesk’s AI journey. The company is now moving beyond ambitions and experimentation into a phase where AI is becoming deeply integrated into its core software.

With the neural CAD and Autodesk Assistant branded functionality, AI will soon be able to generate fully editable CAD geometry, automate repetitive tasks, and gain ‘actionable insights’ across both AEC and product development workflows.

As Autodesk stresses, this is all being done while keeping humans firmly in the loop, ensuring that professionals remain the final decision-makers and retain accountability for design outcomes.

Importantly, customers do not need to adopt brand new design tools to get onboard with Autodesk AI. While neural CAD is being integrated into Forma and Fusion, users of traditional desktop CAD/BIM tools can still benefit through Autodesk Assistant, which will soon be available in Revit, Civil 3D, AutoCAD, Inventor and others.

With Autodesk Assistant, the ability to optimise and automate workflows using natural-language feels like a powerful proposition, but as the technology evolves, the company faces the challenge of educating users on its capabilities — and its limitations.

Meanwhile, data interoperability remains front and centre, with Autodesk routing everything through the cloud and using MCP servers and APIs to enable cross-product and even cross-discipline workflows.

It’s easy to imagine how agent-to-agent communication might occur within the Autodesk world, but AEC workflows are fragmented, and it remains to be seen how this will play out with third parties.

Of course, as with other major design software providers, fully embracing AI means fully committing to the cloud, which will be a leap of faith for many AEC firms.

From customers we have spoken with there remain genuine concerns about becoming locked into the Autodesk ecosystem, as well as the potential for rising costs, particularly related to increased API usage. ‘Generous monthly limits’ might not seem so generous once the frequency of API calls increase, as it inevitably will in an iterative design process. It would be a real shame if firms end up actively avoiding using these powerful tools because of budgetary constraints.

Above all, AU is sure to have given Autodesk customers a much clearer idea of Autodesk’s long-term vision for AI-assisted design. There’s huge potential for Autodesk Assistant to grow into a true AI agent while neural CAD foundation models will continue to evolve, handling greater complexity, and blending text, speech and sketch inputs to further slash design times.

We’re genuinely excited to see where this goes, especially as Autodesk is so well positioned to apply AI throughout the entire design build process.

Main image: Mike Haley, senior VP of research, presents the AI keynote at Autodesk University 2025  

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Autodesk is reshaping its AEC design software portfolio, introducing a new suite of Forma solutions, while making desktop products like Revit more deeply connected to the Forma industry cloud.

At Autodesk University today, the company unveiled a new product, Forma Building Design, and announced that its existing early-stage planning tool, Autodesk Forma, will be rebranded as Forma Site Design.

Launching in beta in the coming months, Forma Building Design is billed as an easy-to-use detailed building design solution, offering ‘BIM-level’ LOD 200/300 detail, ‘AI-powered’ automated design tools, and integrated analysis capabilities.

Nicolas Mangon, VP of AEC industry strategy, explained that with Forma Building Design users will be able to check facades, explore interior layouts, and optimise performance with carbon and daylight metrics.

Learn more about Forma Building Design, Revit Connected Client and Autodesk’s AEC strategy in AEC Magazine’s in-depth report

“Forma Building Design is just the first of many new Forma solutions that will support a broader range of industries and project phases, all powered by AI,” he said.

Meanwhile, Autodesk is continuing to develop its desktop design tools while working to bridge the gap between desktop and cloud-native workflows. The company announced that Revit will be the first official Forma Connected Client — a designation for desktop products deeply integrated with the Forma industry cloud.

Revit users will be able to utilise shared, granular data and Forma’s cloud capabilities, such as environmental analyses, directly within the desktop BIM tool, without the need for exports, imports or rework.

Autodesk plans to bring more desktop solutions into the Forma Connected Client ecosystem but did not name which ones.

Finally Autodesk is rolling out the AI-powered Autodesk Assistant to Revit, AutoCAD, and Civil 3D, allowing users to automate tasks and surface insights through natural language prompts. In AutoCAD, for instance, Autodesk explains that users can check projects against drawing standards while Autodesk Assistant flags violations immediately.

In related news, Autodesk has announced neural CAD, a new category of 3D generative AI foundation models coming to Forma and product design sofware Autodesk Fusion, which the company says will “completely reimagine the traditional software engines that create CAD geometry” and “automate 80 to 90% of what you [designers] typically do.”

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Ever since Autodesk launched Forma in 2023, several questions have repeatedly come up: how will the early-stage design tool evolve, how will it integrate with Revit, or will it even replace Revit?

Fast forward two years and we are now starting to get some clarity. At Autodesk University this month, Autodesk unveiled Forma Building Design, a new browser-based tool which targets detailed design, albeit at a moderate Level of Detail (LoD) 200.

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Forma Building Design, due to launch in beta later this year, signals the start of a new wave of Forma design solutions. According to Nicolas Mangon, VP of AEC industry strategy, these tools will support a broader range of industries and project phases, all powered by AI. Given the growing competition from ‘BIM 2.0’ startups like Motif, Arcol, Snaptrude and Qonic, Autodesk will feel the timing is good.

While Forma solutions that cover MEP, structural, and fabrication level of detail are obvious candidates, new products won’t necessarily be limited to buildings. Amy Bunszel, executive VP, AEC solutions, hinted that they could also extend to transportation, civil and infrastructure. “We need to get to some of those workflows, and we’ll probably do the same thing, we’ll start conceptual,” she says.

Meanwhile, the existing Forma product will be rebranded as Forma Site Design, picking up where it left off with ‘data-driven’ site planning and design.

So why is Autodesk choosing to develop multiple Forma products rather than a single monolithic BIM tool? “We’re trying to be persona-based instead of overloading everything we don’t need into one application, which is kind of a problem with Revit today,” admits Bunszel.

The idea is that a designer would work within the application best suited to a specific task, while data flows between each tool via the Forma Industry Cloud – or more specifically, via Forma Data Management, the new name for Autodesk Docs, the common data environment.

By keeping everything in sync, designers will get access to the latest model data, wherever it’s needed, instantly appearing in other connected applications.

These multi-application workflows aren’t limited to the browser-based Forma design tools. Revit will also play in this new collaborative world, as Autodesk continues to build a bridge between Revit desktop and the Forma Industry cloud.

Revit will soon become what Autodesk calls a Forma Connected Client — a new ‘gold standard’ designation for desktop products that are deeply integrated within the Forma industry cloud.

Revit users will be able to utilise shared, granular data, regardless of where it was authored – in Revit, Forma Site Design, or Forma Building Design.

In addition, Revit users will be able to use some of Forma’s cloud capabilities, such as wind analysis, directly within the desktop tool. Results generated in Forma Site Design or Forma Building Design will also be accessible in Revit.

Over time, additional sustainability and building performance analyses from Forma will become available within Revit.

While Revit will be the first official Forma Connected Client, Autodesk plans to bring more of its desktop applications into the mix, although it has not yet named which ones.

Of course, many AEC firms also play outside the Autodesk world, so could Forma Connected Client status extend to third party tools? From a technical standpoint, this is possible: “The data model is open if they wanted to participate in that way,” says Bunszel.

If Autodesk truly delivers on its promise of ‘‘ seamless data flow between Forma, Revit, and other tools, the question of where design work is done will become less important

However, third parties are more to likely integrate in other ways, such as through Autodesk Data Exchange Connectors, currently available for Tekla Structures, Rhino, Power Bi and IFC.

To encourage firms to get on board with this new collaborative way of working, Autodesk will give Revit users access to the new Forma design tools and the Forma Industry Cloud.

“Everyone will get data management, at some level,” explains Bunszel. “We’re building, what’s called [Forma Data Management] Essentials. There’s not everything that’s in Docs today, but there’ll be an Essentials version that goes to all the standalone customers, so that they can participate and start to get their data in the cloud.”

However, participation in the Autodesk cloud will require API calls, which will be monitored. Autodesk has said customers will receive ‘generous monthly limits,’ though some customers have expressed concern about escalating costs in the future once they those limits are reached.

Moving into detailed design

Forma Building Design is said to combine easy to use modelling tools, generative AI and real time analysis, “So whether you’re shaping facades, exploring interior layouts or optimising performance with carbon and daylight metrics, users of all skill levels can design with intent and deliver with impact,” says Bunszel.

The emphasis on ‘all skill levels’ is deliberate, as Autodesk also sees Forma Building Design as a way of encouraging AutoCAD users into the world of 3D design by ‘making BIM less daunting’.

Forma Building Design is focused on what Autodesk describes as outcome-based BIM. As an architect designs, they’ll get real-time feedback on analyses like indoor daylight, operational carbon and sunlight exposure. “You can make precise design changes while instantly validating their impacts downstream,” says Racel Amour, head of generative AI, AEC.

Most of what we’ve seen so far about Forma Building Design centres on AI, enabled by ‘neural CAD for buildings’, a brand-new industry-specific AI foundation model specifically trained on 3D design data and built into the heart of Forma.

This AI-enhanced CAD engine will pave the way for a range of generative AI tools, the first of which is ‘Building Layout Explorer’ which enables the ‘rapid generation and automatic regeneration’ of new interior layouts, all while giving the designer control. “Soon you can review designs side by side to evaluate against different outcomes like unit mix and daylight,” says Amour. (Learn more in our in-depth article on Autodesk AI)

Forma Building Design is intended to deliver models at LoD 200 but, according to Bunszel, in the future Forma could equal what you have in Revit.

“Depending on the type of project, some people could work almost exclusively some day in Forma and maybe not need Revit or maybe go to Revit for some very particular things,” she says.

Revit clearly has decades of development behind it, but one of those ‘particular things’ could be 2D documentation. We asked Bunszel if Forma will ever get a 2D drawing capability, or is that something that will always be exclusive to Revit?

“It’s too early for me to comment on that,” she laughs. “We still see drawings as being important. Drawings are also a huge opportunity for automation.

“We do have some customers who are now successfully delivering fewer drawings, but they’re still delivering drawings.”

But what about creating drawings in Revit? Are there plans to bring more automation to that process, similar to what Autodesk has done with mechanical CAD tool Fusion? “We’re looking into things,” says Bunszel. “You saw a couple [of examples] this week [at AU] using some of the MCP capability to automatically grade sheets. There was another one we showed on the main stage where they were tagging doors and windows and things. So, we’re definitely starting to explore how much we can do.”

An accelerated future

Forma Building Design has been a long time coming, but its arrival brings fresh clarity to the future of Autodesk’s AEC design tools. Most importantly, Autodesk is not trying to replace Revit with Forma. “We’re not trying to duplicate everything that Revit does well but reimagine some of the things that Revit doesn’t do well, and give people access to both,” says Bunszel.

AI will be central to this reimagining. While Revit will gain efficiencies through the new AI-powered Autodesk Assistant, it seems inevitable that the Forma-based design tools will go much further. Now with a neural CAD AI engine at its core, expect significantly more automation and optimisation as Forma grows.

If Autodesk truly delivers on its promise of seamless data flow between Forma, Revit, and other tools, the question of where design work is done will become less important— notwithstanding the practical challenge of training staff across multiple systems. AEC firms will be free to choose the best design tool for each task, including from a growing list of third-party Forma add-ons, such as Finch, TestFit, ShapeDiver, Chaos Veras.

Although it has taken two years for Autodesk to give Forma a detailed design capability, albeit at LoD 200, we expect it will now start to grow more rapidly, with AI-powered workflows and entirely new products.

The fact is, AI is not only promising to accelerate design, but software development as well, and as Bunszel points out, “I can’t even describe the things our developers have been doing in days that would have [previously] taken months and months.”

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KINDAutomatic, which launched in beta this month, aims to streamline BIM workflows by offering Revit users and AEC software developers a faster, more intuitive way to access data in Revit (RVT/RFA) and IFC files — bypassing the need for traditional desktop software.

The cloud platform delivers a ‘comprehensive set of tools’ for extracting, processing, and parsing BIM data.

Through API integration, data can be seamlessly fed into existing software, while custom workflows enable the automation of data extraction.

According to the company, its scalable cloud platform can extract data from Revit and IFC files up to 10x faster than conventional methods.

Users can extract views (PDFs and SVG), Geometry (IFC and glTF), and Metadata (JSON). Files can be viewed directly in the UI, with a full breakdown of geometry and metadata.

Meanwhile, with ‘advanced filtering, users can filter and query BIM data without having to ‘wade through irrelevant information’.

Extracted data can also be pushed to third party tools such as Speckle (for real-time collaboration) or AWS IoT TwinMaker (digital twins).

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Xgrids has launched LCC for Revit, a new plug-in that brings SLAM-based 3D Gaussian Splatting technology directly into Autodesk Revit workflows. According to the company, the technology delivers 70-90% efficiency improvements in BIM modelling while maintaining survey-grade accuracy.

LCC stands for Lixel CyberColor (LCC), Xgrids’ proprietary technology which combines LiDAR and visual data with 3D Gaussian Splatting. According to Xgrids, this fusion enables the automated construction of highly realistic 3D spatial models that deliver both photorealistic visualisation and geometric precision.

LCC automatically generates spatial models from single scanning sessions using Xgrids’ integrated spatial cameras. Xgrids explains that with ‘seamless Revit integration’ users achieve real-time alignment between BIM models and LCC spatial models.

Using ‘intelligent AI’ the plugin boasts one-click generation of elements such as walls, doors, and windows. According to Xgrids, this dramatically accelerates the modelling process while maintaining design intent and structural integrity.

“LCC for Revit doesn’t just digitise spaces—it understands them,” explained Mindy Li, Xgrids product manager.

“Our AI recognises spatial elements, structural relationships, and spatial hierarchies, transforming raw scan data into intelligent BIM components.”

Xgrids offers both software and hardware, including the Lixel series of professional scanning devices, LCC Studio software for point cloud processing, LCC for 3DGS modelling, and now LCC for Revit.

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The race to challenge Autodesk Revit with next-generation BIM tools has intensified with the launch of Motif, a startup that has just emerged out of stealth. Motif joins other startups including Arcol, Qonic, and Snaptrude, who are already on steady development paths to tackle collaborative BIM. However, like any newcomer competing with a well-established incumbent, it will take years to achieve full feature parity. This is even the case for Autodesk’s next generation cloud-based AEC technology, Forma.

What all these new tools can do quickly, is bring new ideas and capabilities into existing Revit (RVT) AEC workflows. This year, we’re beginning to see this happening across the developer community, a topic that will be discussed in great detail at our NXT BLD and NXT DEV conferences on 11 and 12 June 2025 at the Queen Elizabeth II Centre in London.

Though a late entrant to the market, Motif stands out. It’s led by Amar Hanspal and Brian Mathews, two former Autodesk executives who played pivotal roles in shaping Autodesk’s product development portfolio.

Hanspal was Autodesk CPO and, for a while, joint CEO. Mathews was Autodesk VP platform engineering / Autodesk Labs and lead the industry’s charge into adopting reality capture. They know where the bodies are buried and have decades of experience in software ideation, running large teams and have immediate global networks with leading design IT directors. Their proven track record also makes it easier for them to raise capital and be taken as a serious contender from the get-go.

Further reading – Motif V1: our first thoughts

Motif

In late January, the company had its official launch alongside key VC investors. Motif secured $46 million in seed and Series A funding. The Series A round was led by CapitalG, Alphabet’s independent growth fund, while the seed round was led by Redpoint Ventures. Pre-seed venture firm Baukunst also participated in both rounds. This makes Motif the second largest funded start-up in the ‘BIM’ space – the biggest being HighArc, a cloud-based expert system for US homebuilders, at $80 million.

While Motif has been in stealth for almost two years, operating under the name AmBr (we are guessing for Amar and Brian). Major global architecture firms have been involved in shaping the development of the software, even before any code was written, all under strict NDAs (Non-disclosure Agreements).

The firms working with Hanspal’s team deliver the most geometrically complex and large projects. The core idea is that by tackling the needs of signature architectural practices, the software should deliver more than enough capability for those who focus on more traditional, low risk.

There is considerable appetite to replace the existing industry standard software tools. This hunger has been expressed in multiple ‘Open Letters to Autodesk’, based on a wish for more capable BIM tools – a zeitgeist which Motif is looking to harness, as BIM eventually becomes a replacement market.

The challenge

Motif’s mission is to modernise the AEC software industry, which it sees as being dominated by ‘outdated 20th-century technology’. Motif aims to create a next-generation platform for building design, integrating 3D, cloud, and machine learning technologies. Challenges such as climate resilience, rapid urbanisation modelling, and working with globally distributed teams will be addressed, and the company’s solutions will integrate smart building technology.

Motif will fuse 3D, cloud, and AI with support for open data standards within a real-time collaborative platform, featuring deep automation. The unified database will be granular, enabling sharing at the element level. This, in many ways follows the developments of other BIM start-ups such as Snaptrude and Arcol, which pitch themselves as the ‘Figma’ for BIM. In fact, Hanspal was an early investor in Arcol, alongside Procore’s Tooey Courtemanche.

At the moment, there is no software for the public to see, just some hints of the possible interface on the company’s website. Access is request only. AEC Magazine is not privy to any product demonstrations, only what we have gleamed through conversations with Motif employees. The launch provided us with an exclusive interview with Hanspal to discuss the company, the technology and what the BIM industry needs.

A quantum of history

Before we dive into the interview, let’s have a quick look at how we got here. At Autodesk University 2016, while serving as Autodesk’s joint CEO, Hanspal introduced his bold vision for the future of BIM. Called Project Quantum, the aim was to create a new platform that would move BIM workflows to the cloud, providing a common data environment (CDE) for collaborative working.

Hanspal aimed to address problems which were endemic in the industry, arising from the federated nature of Architecture, Engineering, and Construction (AEC) processes and how software, up to that point, doubled down on this problem by storing data in unconnected silos.

Instead of focusing on rewriting or regenerating Revit as a desktop application, the vision was to create a cloud-based environment to enable different professionals to work on the same project data, but with different views and tools, all connected through the Quantum platform.

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Quantum would feature connecting workspaces, breaking down the monolithic structure of typical AEC solutions. This would allow data and logic to be accessible anywhere on the network and available on demand, in the appropriate application for a given task. These workspaces were to be based on professional definitions, providing architects, structural engineers, MEP (Mechanical, Electrical, and Plumbing) professionals, fabricators, and contractors with access to the specific tools they need.

Hanspal recognised that interoperability was a big problem, and any new solution needed to facilitate interoperability between different software systems, acting as a broker, moving data between different data silos. One of the key aspects of Quantum was that the data would be granular, so instead of sharing entire models, Quantum could transport just the components required. This would mean users receive only the information pertinent to their task, without the “noise” of unnecessary data.

Eight months later, the Autodesk board elected fellow joint CEO, Andrew Anagnost as Autodesk CEO and Hanspal left Autodesk. Meanwhile, the concept of Quantum lived on and development teams continued exploratory work under Jim Awe, Autodesk’s chief software architect.

Months turned into years and by 2019, Project Quantum had been rebranded Project Plasma, as the underlying technology was seen as a much broader company-wide effort to build a cloud-based data-centric approach to design data . Ultimately, Autodesk acquired Spacemaker in 2020 and assigned its team to develop the technology into Autodesk Forma, which launched in 2023—more than six years after Hanspal first introduced the Quantum concept.

However, Forma is still at the conceptual stage, with Revit continuing to be the desktop BIM workflow, with all its underlying issues.

In many respects, Hanspal predicted the future for next generation BIM in his 2016 Autodesk University address. Up until that point Autodesk had wrestled for years with cloud-based design tools, with its first test being Mechanical CAD (MCAD) software, Autodesk Fusion, which demoed in 2009 and shipped in 2013. Cloud-based design applications were a tad ahead of the web standards and infrastructure which have helped product like Figma make an impact.

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In conversation

On leaving Autodesk in 2017, after his 15+ year stint, Hanspal thought long and hard about what to do next. In various conversations over the years, he admitted that the most obvious software demand was for a new modern-coded BIM tool, as he had proposed in some detail with Quantum. However, Hanspal was mindful that it might be seen as sour grapes. Plus, developing a true Revit competitor came with a steep price tag—he estimated it would take over $200 million. Instead, Hanspal opted to start Bright Machines, a company which delivers the scalable automation of robot modules with control software which uses computer vision machine learning to manufacture small goods, like electronics.

After almost four years at Bright Machines, in 2021, Hanspal exited and returned to the AEC problem, which, in the meantime, had not made any progress. During COVID, AEC Magazine was talking with some very early start-ups, and pretty much all had been in contact with Hanspal for advice and/or stewardship.

Martyn Day: Your approach to the market isn’t a single-platform approach, like Revit?

Amar Hanspal: In contrast to the monolithic approach of applications like Revit, we aim to target specific issues and workflows. There will be common elements. With the cloud, you build a common back end, but the idea is that you solve specific problems along the way. You only need one user management system, one payment system, collaboration etc. There are some technology layers that are common. But the idea is about solving end-user problems like design review, modelling, editing, QA, QC.

This isn’t a secret! I talked about this in the Quantum thing seven years ago! I always say ideas are not unique. Execution is. When it comes down to it, can anybody else do this? Of course they can. Will they do this? Of course not!

Martyn Day: Data storage and flow is a core differential from BIM 2.0. Will your system use granular data, and how will you bypass limitations of browser-based applications. You talk about ‘open’, which is very in vogue. Does that mean that your core database is Industry Foundation Classes (IFC), or is there a proprietary database?

Amar Hanspal: There are three things we have to figure out. One how to run in a browser, where you have the limited memory, so you can’t just send everything. You’ve got to get really clever about how to figure out what [data] people receive – and there’s all sorts of modern ways of doing that.

Second is you have to be open from the get-go. However we store the data, anybody should be able to access it, from day one.

And then the third thing is, you can’t assume that you have all the data, so you have to be able to link to other sources and integrate where it makes sense. If it’s a Revit object, you should be able to handle it but if it’s not, you should be able to link to it.

You have to do some things for performance – it’s not proprietary, but you’re always doing something to speed up your user experience. The one path is, here’s your client, then you have to get data fast to them, and you have to do that in a very clever way, all while you’re encrypting and decrypting it. That’s just for user experience and performance, but from a customer perspective, anytime you want to interrogate the data send and request all the objects in the database – there is a very standard web API that you can use, and it’s always available.

Of course we’ll support IFC, just like we support RVT and all these formats. But that’s not connected, not our core data format. Our core data format is a lot looser, because we realised in this industry, it’s not just geometric objects you’re dealing with, you must deal with materials, and all sorts of data types. In some ways, you must try and make it more like the internet in a way. Brian [Mathews] would explain that the internet is this kind of weirdly structured yet linked data, all at the same time. And I think that’s what we are figuring out how to do well.

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Martyn Day: We have seen all sorts of applications now being developed for the web. Some are thick clients with a 20 GB download – basically a desktop application running in a web browser, utilising all the local compute, with the data on the cloud. Some are completely on the cloud with little resource requirement on the local machine. Autodesk did a lot of experimentation to try and work out the best balance. What are you doing?

Amar Hanspal:  It’s a bit of a moving edge right now. I would say that you want to begin first principles. You want to get the client as thin as possible so that if you can, you avoid the big download at all costs. That can be through trickery, it’s also where WebGPU and all these new things that are showing up are helping. You can start using browsers for more and more [things] every day that will help deliver applications. But I do think that there are situations in which the browser is going to get overwhelmed, in which case, you’re going to require people to add something. Like, when the objects get really large and very graphical, sometimes you can deliver a better user experience if you give somebody a thicker client.  I think that’s some way off for us to try and deal with, but our first principle is to just leverage the browser as much as possible and not require users to download something to use our application. I think it may become, ‘you hit this wall for this particular capability’, then you’ll need to add something local.

Martyn Day: You have folks that have worked on Revit in your team. Will this help your RVT ability form the get go?

Amar Hanspal: We’ve not reverse engineered the file format, but, you know, we do know how this works. We’re staying good citizens and will play nice. We’re not doing any hacks, we’re going to integrate very cleanly with whatever – Revit, Rhino, other things that people use – in a very clean way. We’re doing it in an intelligent way, to understand how these things are constructed.

Martyn Day: The big issue is that Revit is designed to predominantly model, in order to produce drawings. Many firms are fed up with documentation and modelling to produce low level of detail output. Are you looking to go beyond the BIM 1.0 paradigm?

Amar Hanspal: Yes, fabrication is very critical for modular construction. Fabrication is really one of the things that you have to ‘rethink’ in some way. It’s probably the most obvious other thing that you have to do. I also think that there are other experiences coming out, not that we are an AR/VR play, but you’re creating other sorts of experiences, and deliverables that people want like. We need to think through that more expansively.

Martyn Day: Are you using a solid modelling engine underneath, like Qonic?

Amar Hanspal: Yes, there is an answer to that, but what we’re coming out with first, won’t need all that complexity, but yeah, of course, we will do all that stuff over time.  There is a mixture of tech that we can use – off the shelf – like license one or use something that is relatively open source.

Martyn Day: Most firms who have entered this space, taking on Revit, is the software equivalent of scaling the North face of the Eiger – 20 years of development, multidiscipline, broadly adopted. All of the new tools initially look like SketchUp, as there’s so much to develop. Some have focused on one area, like conceptual, others have opted to develop all over the place to have broad, but shallow functionality. Are you coming to market focussing on a sweet spot?

Amar Hanspal:  One of the things we learned from speaking to customers is that [in] this whole concept modelling / Skema / TestFit world there are so many things that developers are doing. We’re going after a different problem set. In some ways, the first thing that we’re doing will feel much more like a companion, collaboration product, and it will look like a creation thing. I don’t want to take anything out of market that feels half incomplete. The lessons we’ve learned from everything is that even to do the MVP (Minimum Viable Product) in modelling, we will be just one of sixteen things that people are using. I think, you know, I’d much rather go up to the North face and scale it.

Martyn Day: Many of the original letter writers were signature architects, complaining that they couldn’t model the geometry in Revit so used Rhino / Grasshopper then dropped the geometry into Revit. So, are you talking to the most demanding group of users to please?

Amar Hanspal:  I 100% agree with you. I think someone has to go up the North face of the Eiger. That’s my thing, it’s the hardest thing to do. It’s why we need this special team. It’s why we need this big capital. That’s why Brian and I decided to do it. I was thinking, who else is going to do it? Autodesk isn’t doing it! This Forma stuff isn’t really leading to the reinvention of Revit.

All these small developers that are showing up, are going to the East face. I give them credit. I’m not dissing them, but if they’re not going to scale the North face… I’m like, OK, this is hard, but we have got to go up the North face of the Eiger, and that’s what we’re going to do.

It’s like Onshape [cloud-based MCAD software] took ten years. Autodesk Fusion took ten years. And this might take us ten years to do it – I don’t think it will. So, what you will see from us – and maybe you might even criticise us for – is while we’re scaling, it’s going to look like little, tiny subsets coming out. But there’s no escaping the route we have to go.

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Martyn Day: From talking with other developers, it looks like it will take five years to be feature comparative. The problem is products come to the market and aren’t fleshed out, they get evaluated and dismissed because they look like SketchUp, not a Revit replacement and it’s hard to get the market’s attention again after that.

Amar Hanspal:  Yeah, I think it’s five years. And that’s why, deliberately, the first product that’s going to come out is not going to be the editor. It’s going to look a little bit more Revizto-like because I think that’s what gives us time to go do the big thing. If you’re gonna come for the King, you better not miss. We’ve got to get to that threshold where somebody looks at it and goes, ‘It doesn’t do 100% but it does 50% or 60%’ or I can do these projects on it and that’s where we are – it’s why we’re working [with] these big guys to keep us honest. When they tell us they can really use this, then we open it up to everybody else. Up until then, we’ll do this other thing that is not a concept modeller but will feel useful.

Martyn Day: How many people are in the team now?

Amar Hanspal:  We’re getting 35 plus. I think we’re getting close to 40. It’s mostly engineering people. Up until two weeks ago, it was 32 engineers and myself. Now I have one sales guy, one marketing, so we’ll have a little bit of go to market. But it’s mainly all product people. We are a distributed company, based around Boston, New York or the Bay Area – that’s our core.

We’re constructing the team with three basic capabilities. There’s classic geometry, folks – and these are the usual suspects. The place where we have newer talent is on the cloud side, both on trying to do 3D on the browser front end, and then on the back-end side, when we’re talking about the data structures. None of those people come from CAD companies, none of them, they are all Twitter, Uber or robotics companies – different universes to traditional CAD.

The third skill set that we’re developing is machine learning. Again, none of those guys are coming from Cloud or 3D companies. These are research-focused, coming from first principles, that kind of focus.

Martyn Day: By trying to rethink BIM and being heavily influenced by what came before, like Revit, is there a danger of being constrained by past concepts? Somone described Revit to me as 70s thinking in 80s programming. Obviously now computer science, processors, the cloud have all moved on. The same goes for business models. This weekend, I watched the CEO of Microsoft say SaaS was dead!

Amar Hanspal:  We know we’re living in a post subscription world. Post ‘named user’ world is the way I would describe it. The problem with subscription right now, is that it’s all named user, you’ve got to be onboard, and then this token model at Autodesk is if you use the product for 30 seconds, then you get charged for the whole day.

It’s still very tied to, sort of like a human being in front in a chair. That’s what makes the change. Now, what does that end up looking like? You know the prevalent model, there’s three that are getting a lot of interest: one is the Open AI ChatGPT model. It’s get a subscription, you get a bunch of tokens. You exceed them, you get more.

The other one, which I don’t think works in AEC, is outcome-based pricing, which works for callcentres. You close a call, you create seven bucks for the software. I don’t see that happening. What’s the equivalent in AEC time? Produce drawing, seven bucks? What is the equivalent of that? That just seems wrong. I think we’re going to end up in this somewhat hybrid tokenised / ChatGPT style model, but you know we have to figure that out. We have to account for people’s ability to flex up and down. They have work what comes in and out. Yeah, that’s the weakness of the subscription business model, is that customers are just stuck.

Martyn Day: Why didn’t Autodesk redevelop Revit in the 2010 to 2015?

Amar Hanspal:  What I remember of those days – it’s been a while – is I think there was a lot of focus on just trying to finish off Revit Structure and MEP. I think that was the one Revit idea, and then suites and subscriptions. There was so much focus on business models on that. But you’re right. I think looking back, that was the time we should have have redone Revit. I started to it with Quantum, but I didn’t last long enough to be able to do it!

Conclusion

One could argue that the decision by Autodesk not to rewrite Revit and minimise the development was a great move, profit-wise. For the last eight years, Revit sales haven’t slowed down and copies are still flying off the shelves. Revit is a mature product with millions of trained users and RVT is the lingua franca of the AEC world, as defined in many contracts. There is proof to the argument that software is sticky and there’s plenty of time with that sticky grip, for Autodesk to flesh out and build its Forma cloud strategy.

Autodesk has taken active interest in the start ups that have appeared, even letting Snaptrude exhibit at Autodesk University, while it assesses the threat and considers investing in or buying useful teams and tech. If there is one thing Autodesk has, it’s deep pockets and throughout its history has bought each subsequent replacement BIM technology – from Architectural Desktop (ADT) to Revit. Forma would have been the first in-house development, although I guess that’s partially come out of the SpaceMaker acquisition.

But this isn’t the whole story. With Revit, it’s not just that the software that is old, or the files are big, or that the Autodesk team has given up on delivering major new productivity benefits. From talking with firms there’s an almost allergic reaction to the business model, coupled with the threat of compliance audits, added to the perceived lack of product development. In the 35+ years of doing this, it’s still odd seeing Autodesk customers inviting in BIM start-ups to try and help the competitive products become match-fit in order to provide real productivity benefits – and this has been happening for two years.

With Hanspal now throwing his hat officially in the ring, it feels like something has changed, without anything changing. The BIM 2.0 movement now has more gravitas, adding momentum to the idea that cloud-based collaborative workflows are now inevitable.  This is not to take anything away from Arcol, Snaptrude and Qonic which are possibly years ahead of Motif, having already delivered products to market, with much more to come.

From our conversation with Hanspal, we have an indication of what Motif will be developing without any real physical proof of concept. We know it has substantial backing from major VCs and this all adds to the general assessment that Revit and BIM is ripe for the taking.

At this moment in the AEC space, trying to do a full-frontal assault of the Revit installed-base, is like climbing North Face of the Eiger – you better take a mighty big run up and have plenty of reserves. And, for a long time, it’s going to look like you are going nowhere. Here, Motif is playing its cards close to its chest, unlike the other start-ups which have been sharing in open development from very early on, dropping new capabilities weekly. While it is clear to assess the velocity with which Snaptrude, Arcol and Qonic deliver, I think it’s going to be hard to measure Motif’s modeller technology until it’s considerably along in the development phase. It’s a different approach. It doesn’t mean it’s wrong and with regular workshops and collaboration with the signature architects, there should be some comfort for investors that progress is being made. But, as Hanspal explained, it’s going to be a slow drip of capability.

While Autodesk may have been inquisitive about the new BIM start-ups, I suspect the ex-Autodesk talent in Motif, carrying out a similar Quantum plan, would be seen as a competitor that might do some damage if given space, time and resources. Motif is certainly well funded but with a US-based dev team, it will have a high cash burn rate.

By the same measurement, Snaptrude is way ahead, has a larger, purely Indian development team, with substantially lower costs and lower capital burn rate. Arcol has backing from Tooey Courtemanche (aka Mr. Procore) and Qonic is doing fast things with big datasets that just look like magic and have been totally self-funded. BIM 2.0 already has quality and depth. The challenge is to offer enough benefit, at the right price, to make customers want to switch, for which there is a minimal viable product.

It’s only February and we already know that this will be the year that BIM 2.0 gets real. All the key players and interested parties will all be at our NXT BLD and NXT DEV conferences in London on 11-12 June 2025 – that’s Arcol, Autodesk, Bentley Systems, Dassault Systèmes, Graphisoft, Snaptrude, Qonic and others. As these products are being developed, we need as many AEC firms onboard to helping guide their direction. We need to ensure the next generation of tools are what is needed, not what software programmers think we need, or limited to concepts which constrained workflows in the past. Welcome Motif to the melee for the hearts and minds of next generation users!

The post Motif to take on Revit: exclusive interview appeared first on AEC Magazine.

Xyicon has updated the Revit add-in for its information modelling platform which is designed to give non-AEC professionals, such as building owners and project managers, real-time access to data embedded within Revit RVT files.

Xyicon’s information modelling platform, which can be used for planning and operations, centralises both graphical and non-graphical data into integrated 2D/3D models.

The Revit add-in is designed to address the disconnect between AEC professionals and non-AEC project teams, by allowing anyone to work in a functional BIM environment.

BIM tools like Revit, as Xyicon explains, are built exclusively for AEC professionals, often leaving non-AEC stakeholders to rely on traditional methods like PDF based diagrams and spreadsheets. These manual workflows are said to limit collaboration, especially for those without modelling expertise or access to BIM software.

Find this article plus many more in the Jan / Feb 2025 Edition of AEC Magazine

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With Xyicon’s Revit add-in, any user can view and update the Revit BIM model directly and contribute to its progress. For example, through the Xyicon platform, users can lay out new or additional furniture, assets and equipment, move placements, rotate positions, view and edit parameters, or delete assets. At the same time, AEC professionals retain full control over what gets synced back to Revit. According to the developers, this ensures alignment and accuracy in the final model.

New features include a revamped UI/UX and optimised creation of 3D GLB files, resulting in smaller sizes, faster load times for web and mobile, and improved compatibility.

Xyicon is also gearing up to launch Autodesk Construction Cloud (ACC) integration early this year. This update will allow users to edit and collaborate on cloud-hosted Revit models directly within Xyicon—without the need for local downloads or Revit software.

The post Xyicon extends reach of Revit appeared first on AEC Magazine.

Pele AI is a new AI BIM Assistant for Revit designed to simplify, automate and streamline manual tasks such as tagging elements, generating views, organising sheets or graphically modifying elements.

The Revit add-in understands plain language instructions, bypassing the need for technical scripts or complex syntax.

Pele AI analyses the prompt, determines the necessary steps, and then executes the task in Revit. If the command is unclear or too complex, the software will reattempt execution. If it still cannot complete the task, it will notify the user and suggest that refining the input might improve the results.

Example prompts include:

• Create a building with 200m2 area as a rectangle, 6 storeys high
• Open all the floorplans that have a scale of 1:20
• Select any floors thinner than 400mm
• Make dimensions for the rooms in this plan view
• Highlight clashes between ducts and beams in this 3D view.

Pele is available through the Autodesk App store and supports Revit versions 2021 through 2025. The software is free to download, and a free trial gives users 20 prompts. The software is then charged per prompt – a 500-prompt bundle, for example costs $40.

The post AI BIM assistant for Revit launches appeared first on AEC Magazine.

BIM software startup, Skema, has introduced a new integration with SketchUp aimed at helping designers make use of SketchUp’s early-stage design capabilities to drive BIM workflows and Revit deliverables.

The integration allows designers to start massing in SketchUp, move into Skema for ‘block-and-stack’ planning, and return to SketchUp for design exploration of facades, rendering, energy use, lighting, and more.

According to the developers, Skema’s ‘BIM in Minutes’ feature allows users to move their designs into Revit at the push of a button, ready for construction documentation.

“We’re working to bridge the gap between SketchUp and a firm’s existing BIM workflows within Revit,” said Richard Harpham, co-founder of Skema. “The new Skema for SketchUp extension empowers architects to transform their initial design concepts into precise, data-rich BIM models faster—reducing rework, data loss, and coding.”

Skema for SketchUp is available now for $349/year.

Meanwhile, to learn more about Skema, watch the following presentations from AEC Magazine’s NXT BLD / NXT DEV conferences

• BIM BOM BOOM: A roadmap to deliver profitable productized construction
• The Rapidly Evolving Software Landscape, which includes a demonstration of how multiple new applications, including Skema, Snaptrude, and Augmenta, can work together to help automate design.

NXT BLD and NXT DEV 2025 will take place in London – 11-12 June 2025

The post Skema to streamline SketchUp to Revit workflow appeared first on AEC Magazine.

The Autodesk AI brand debuted in Las Vegas last year at Autodesk University, but the launch lacked any real substance. Despite a flashy logo there were no significant new AI capabilities to back it up. The event seemed more like a signal of Autodesk’s intent to add greater focus on AI in the future — building on its past achievements. It came at a time where ‘AI-anything’ was increasing share valuations of listed companies.

Fast forward 12 months and at Autodesk University 2024 in San Diego the company delivered more clarity on its evolving AI strategy — on stage and behind the scenes in press briefings. Autodesk also introduced a sprinkling of new AI features with many focused on modelling productivity, signalling that progress is being made. However, most of these were for manufacturing with little to excite customers in Architecture, Engineering and Construction (AEC), other than what had already been announced for Forma.

In his keynote, CEO Andrew Anagnost took a cautious tone, warning that it’s still early days for AI despite the growing hype from the broader tech industry.

Anagnost set the scene for the future. “We’re looking at how you work. We’re finding the bottlenecks. We’re getting the right data flowing to the right places, so that you can see past the hype to where there’s hope, so that you can see productivity rather than promises, so that you can see AI that solves the practical, the simple, and dare I even say, the boring things that get in your way and hold back you and your team’s productivity.”

One of those ‘boring things’ is sketch constraints, which govern a sketch’s shape and geometric properties in parametric 3D CAD software like Autodesk Fusion, which is used for product design and manufacturing.

Fusion’s new AI-powered sketch auto-constrain feature streamlines this process by analysing sketches to detect intended spatial relationships between aspects of the design.

Automatically constraining sketches is just the starting point in Autodesk’s broader vision to use AI to optimise and automate 3D modelling workflows. As Anagnost indicated, the company is exploring how AI models can be taught to understand deeper elements of 3D models, including features, constraints, and joints.

At AU, no reference was made to similar modelling productivity tools being developed for Autodesk’s AEC products, including Forma. However, Amy Bunszel, executive VP, AEC at Autodesk, told AEC Magazine that the AEC team will learn from what happens in Fusion.

Another ‘boring’ task ripe for automation is the production of drawings. This labour-intensive process is currently a hot topic across the CAD sector (read this AEC Magazine article).

This capability is also coming first to Autodesk’s product design and manufacturing product. With Drawing Automation for Fusion, Autodesk is using AI to automate the process, down to the precise placement of annotations.

With the click of a button, the AI examines 3D models and does the time-consuming work of generating the 2D drawings and dimensions required to manufacture parts. The technology has evolved since its initial release earlier this year and now accelerates and streamlines this process even more by laying out drawing sheets for each component in a model and applying a style. Early next year, the technology will be able to recognise standard components like fasteners, remove them from drawing sets, and automatically add them to the bill of materials for purchase.

Once again, this feature will first appear in Fusion, but sources have confirmed plans to extend automated drawing capabilities to Revit—a significant development given the BIM tool’s widespread use for documentation. There’s also potential for autonomous drawings in Forma, although Forma would first need the ability to generate drawings. During the AU press conference, CEO Andrew Anagnost hinted that drawing capabilities might be in Forma’s future, which, if realised, could potentally impact how much customers rely on Revit as a documentation tool in the long term.

Both of Autodesk’s new AI-powered features are designed to automate complex, repetitive, and error-prone processes, significantly reducing the time that skilled designers spend on manual tasks. This allows them to focus on more critical, high-value activities. But, as Anagnost explained, Autodesk is also exploring how AI can be used to fundamentally change the way people work.

One approach is to enhance the creative process and Form Explorer is a new automotive-focused generative AI tool for Autodesk Alias, designed to bridge the gap between 2D ideation and traditional 3D design. It learns from a company’s historical 3D designs, then applies that unique styling language.

Lessons learned from Form Explorer are also helping Autodesk augment and accelerate creativity in other areas of conceptual design.

Project Bernini is an experimental proof-of-concept research project that uses generative AI to quickly generate 3D models from a variety of inputs including a single 2D image, multiple images showing different views of an object, point clouds, voxels, and text. The generated models are designed to be ‘functionally correct’, so a pitcher, for example, will be empty inside. As the emphasis is on the geometry, Bernini does not apply colours and textures to the model.

Project Bernini is not designed to replace manual 3D modelling. “Bernini is the thing that helps you get to that first stage really quickly,” said Mike Haley, senior VP of research at Autodesk. “Nobody likes the blank canvas.”

Project Bernini is industry agnostic and is being used to explore practical applications for manufacturing, AEC and media and entertainment. At AU the emphasis was on manufacturing, however, where one of the ultimate aims is to learn how to produce precise geometry that can be converted into editable geometry in Fusion.

However, there’s a long way to go before this is a practical reality. There is currently no established workflow, plus Bernini has been trained on a limited set of licensed public data that cannot be used commercially.

AI for AEC

Autodesk is also working on several AI technologies specific to AEC. Nicolas Mangon, VP, AEC industry strategy at Autodesk, gave a brief glimpse of an outcome-based BIM research project which he described as Project Bernini for AECO.

He showed how AI could be used to help design buildings made from panellised wood systems, by training it on past BIM projects stored in Autodesk Docs. “[It] will leverage knowledge graphs to build a dataset of patterns of relationship between compatible building components, which we then use to develop an auto complete system that predicts new component configurations based on what it learned from past projects,” he said.

Mangon showed how the system suggests multiple options to complete the model driven by outcomes such as construction costs, fabrication time and carbon footprint. This, he said, ensures that when the system proposes the best options, the results are not only constructible, but also align with sustainability, time and cost targets.

Another AEC focused AI tool, currently in beta, is Embodied Carbon Analysis in Autodesk Forma, which is designed to give rapid site-specific environmental design insights. “It lets you quickly see the embodied carbon impact at the earliest conceptual design phase, giving you the power to make changes when the cost is low,” said Bunszel.

The software uses EHDD’s C.Scale API which applies machine learning models based on real data from thousands of buildings. The technology helps designers balance trade-offs between embodied carbon, sun access, sellable area, and outdoor comfort etc.

Embodied Carbon Analysis in Autodesk Forma follows other AI-powered features within the software. With ‘Rapid Noise Analysis’ and ‘Rapid Wind Analysis’, for example, Forma uses machine learning to predict ground noise and wind conditions in real time.

Autodesk AI is also providing insights in hydraulic modelling through Autodesk InfoDrainage, as Bunszel explained, “You can place a pond or swale on your site and quickly see the impact on overland flows and the surrounding flood map.”

Simple AI

Autodesk is also diving into the world of general purpose AI through the application of Large Language Models (LLMs). With Autodesk Assistant, customers can use natural language to ask questions about products and workflows.

Autodesk Assistant has been available on Autodesk’s website for some time and is now being rolled out gradually inside Autodesk products.

“The important thing about the system, is it’s going to be context-aware, so it’s understanding what you’re working on, what project you’re on, what data you’ve run, maybe what you’ve done before, where you are within your project, that kind of thing,” said Haley.

With the beta release of Autodesk Assistant in Autodesk Construction Cloud, for example, users can explore their specification documents through natural language queries, as Bunszel explained, “You can ask the assistant using normal everyday language to answer questions, generate lists or create project updates,” she said, adding that it gives you access to intuitive details from your specifications that usually require lots of clicking or page turning or highlighting to find.

Getting connected

Like most software developers Autodesk is harnessing the power of LLMs or vision models, such as ChatGPT and Gemini. “We can use them, we can adapt them, we can fine tune them to our customers’ data and workflows,” said Haley, citing the example of Autodesk Assistant.

But, as Haley explained, language and vision models don’t have any sense of the physical world, so Autodesk is focusing much of its research on developing a family of foundation models that will eventually deliver CAD geometry with ‘high accuracy and precision’.

Autodesk’s foundation models are being trained to understand geometry, shape, form, materials, as well as how things are coupled together and how things are assembled.

“Then you also get into the physical reasoning,” added Haley. “How does something behave? How does it move? What’s the mechanics of it? How does a fluid flow over the surface? What’s the electromechanical properties of something?”

According to Anagnost, the ultimate goal for Autodesk is to get all these foundation models talking together, but until this happens, you can’t change the paradigm.

“Bernini will understand the sketch to create the initial geometry, but another model might understand how to turn that geometry into a 3D model that actually can be evolved and changed in the future,” he said. “One might bring modelling intelligence to the table, one might bring shape intelligence to the table, and one might be sketch driven, the other one might be sketch aware.”

To provide some context for AEC, Autodesk CTO Raji Arasu said, “In the future, these models can even help you generate multiple levels of detail of a building.”

AI model training

Model training is a fundamental part of AI, and Anagnost made the point that data must be separated from methods, “You have to teach the computer to speak a certain language,” he said. “We’re creating training methods that understand 3D geometry in a deep way. Those training methods are data independent.”

With Project Bernini Autodesk is licensing public data to essentially create a prototype for the future. “We use the licence data to show people what’s possible,” said Anagnost.

For Bernini, Autodesk claims to have used the largest set of 3D training data ever assembled, comprising 10 million examples, but the generated forms that were demonstrated — a vase, a chair, a spoon, a shoe, and a pair of glasses — were still primitive. As Tonya Custis, senior director AI Research, admitted there simply isn’t enough 3D data anywhere to build the scale of model required, highlighting that the really good large language and image models are trained on the entire internet.

“It’s very hard to get data at scale that very explicitly ties inputs to outputs,” she said. “If you have a billion cat pictures on the internet that’s pretty easy to get that data.”

The billion-dollar question is where will Autodesk get its training data from? At AU last year, several customers expressed concern about how their data might be used by Autodesk for AI training.

This was a hot topic again this year and in the press conference Anagnost provided more clarity. He told journalists that for a generative AI technology like Bernini, where there’s a real possibility it could impact on intellectual property, customers will need to opt in.

But that’s not the case for so-called ‘classic productivity’ AI features like sketch auto-constrain or automated drawings, “No one has intellectual property on how to constrain a sketch,” said Anagnost. “[For] that we just train away.”

This point was echoed by Hooper in relation to automated drawings, “Leveraging information that we have in Fusion about how people actually annotate drawings is not leveraging people’s core IP,” he said.

To help bring more transparency to how Autodesk is using customer data for training its AI models, Autodesk has created a series of Autodesk AI transparency cards which will be made available for each new AI feature. “These labels will provide you a clear overview of how each AI feature is built, the data that is being used, and the benefits that the feature offers,” said Arasu.

Of course, some firms will not want to share their data under any circumstances. Anagnost believes that this may lead to a bifurcated business model with customers, where Autodesk builds some foundational intelligence into its models and then licenses them to individual customers so they can be fine-tuned with private data.

AI compute

AI requires substantial processing power to function efficiently, particularly when it comes to training. With Autodesk AI, everything is currently being done in the cloud. This can be expensive but, as Anagnost boasted: “We have negotiating power with AWS that no customer would have with AWS.”

Relying on the cloud means that in order to use features in Fusion like auto constraints or drawing automation, you must be connected to the Internet.

This might not be the case forever, however. Arasu told AEC Magazine that AI inferencing [the process of using a trained AI model to make predictions or decisions based on new data] could go local. She noted some of Autodesk’s customers have powerful workstations on their desktops, implying that by using the cloud for compute would mean a waste of their own resources.

All about the data

It goes without saying that data is a critical component of Autodesk’s AI strategy, particularly when it comes to what Autodesk calls outcome-based BIM, as Mangon explained, “Making your data from our existing products available to the Forma Industry Cloud will create a rich data model that powers an AI-driven approach centred on project outcomes, so you can optimise decisions about sustainability, cost, construction time and even asset performance at the forefront of the project.”

To fully participate in Autodesk’s AI future, customers will need to get their data into the cloud-based common data environment, Autodesk Docs, which some customers are reluctant to do, for fear of being locked in with limited data access only through APIs.

Autodesk Docs can be used to manage data from AutoCAD, Revit, Tandem, Civil 3D, Autodesk Workshop XR, with upcoming support for Forma. It also integrates with third-party applications including Rhino, Grasshopper, Microsoft Power BI and soon Tekla Structures.

The starting point for all of this is files but, over time, with the Autodesk AEC Data Model API, some of this data will become granular. The AEC Data Model API enables the break-up of monolithic files, such as Revit RVT and AutoCAD DWG, into ‘granular object data’ that can be managed at a sub-file level.

“With the AEC Data Model API, you can glimpse into the future where data is not just an output, but a resource,” said Sasha Crotty, Sr. Director, AEC Data, Autodesk. “We are taking the information embedded in your Revit models and making it more accessible, empowering you to extract precisely the data you need without having to dive back into the model each time you need it.”

Crotty gave the example of US firm Avixi, which is using the API to extract Revit data and gain valuable insights through Power BI dashboards.

When the AEC Data Model API launched in June, it allowed the querying of key element properties from Revit RVT files. Autodesk is now starting to granularize the geometry, and at AU it announced it was making Revit geometric data available in a new private beta. For more on the AEC Data Model API read this AEC Magazine article.

Autodesk Docs is also being used to feed data into Forma Board, a digital whiteboard and collaboration tool that allows project stakeholders to present and discuss concepts.

“Forma Board lets you pull in visuals from Forma and other Autodesk products through Docs, and now you can demonstrate the impact of sun or noise, ask for feedback on specific concepts, and much more,” said Bunszel.

Revit also got some airtime, but the news was a little underwhelming. Bunszel shared her favourite Revit 2025 update – the ability to export to PDF in the background without stopping your work. Meanwhile, manufacturing customers were being shown the future, with new features coming to Inventor 2026 such as associative assembly mirror and part simplification.

In the press conference Anagnost reiterated how Forma is different to Revit. “It is driven by outcomes,” he said. “We not trying to redo Revit in the cloud.”

Anagnost added that Forma is going to start moving downstream into things that Revit ‘classically does well. “It doesn’t mean it has to swallow all of Revit, and you know that would take a long time, but it can certainly do things that that Revit does today as it expands,” he said.

An iterative future

Autodesk is beginning to add clarity to its AI strategy. It is addressing AI from two angles: bottom up, bringing automation to repetitive and error prone tasks, and top down with technologies like Project Bernini that in the future could fundamentally change the way designers and engineers work. The two will eventually meet in the middle.

Autodesk is keen to use AI to deliver practical solutions and the automation of drawings and constraints in Fusion should deliver real value to many firms right now, freeing up skilled engineers at a time when they are in short supply.

We expect automated drawings will find their way into Autodesk AEC products soon, but it’s hard to tell if Autodesk has any concrete plans to use AI for modelling productivity.

As to pushing data into Autodesk Docs to get the maximum benefit out of AI, the fear that some customers have of getting trapped in the cloud is unlikely to go away any time soon.

Meanwhile, it’s clear there’s still a long way to go before the AI foundation models being explored in Project Bernini can deliver CAD geometry with ‘high accuracy and precision’.

While Bernini is starting to understand how to create basic geometry, the 3D models need more detail, and Autodesk must also work out how they can be of practical use inside CAD. With rapid advances in text-to-image AI, one also wonders what additional value text-to-CAD might bring to concept design. One could also ask whether product designers, architects or engineers would even want to use something like this to kickstart their design process. As the technology is still so embryonic it’s very hard to tell. It’s also important to remember that Bernini is a proof-of-concept, designed to explore what’s possible, rather than a practical application.

Meanwhile, as Autodesk continues to develop the complex AI training methods, there’s also the challenge of sourcing data for training. It will be interesting to see how Autodesk’s trust relationship with customers plays out.

While Autodesk’s long-term plan is to get multiple foundation models to talk together, this doesn’t mean we are heading for true design automation any time soon.

At AU Anagnost admitted that the day where AI can automatically deliver final outcomes from an initial specification is further away than one might think. “For those of you who are trying to produce an epic work of literature with ChatGPT, you know you have to do it iteratively,” he said. That same iterative process will apply to AI for design for some time to come.

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