Arcadis, the company delivering data-driven sustainable design, engineering and consultancy solutions for natural and built assets, has announced an expanded collaboration with Autodesk to accelerate the use of artificial intelligence, connected data and digital workflows across the built and natural environment, whilst keeping human expertise and judgment at the center of delivery for clients.
The collaboration combines Arcadis’ embedded domain expertise in design, engineering, sustainability and project delivery with Autodesk’s Design and Make platform and Autodesk AI, including Autodesk Assistant, which understands geometry, engineering intent and project history.
It is an accelerator of Arcadis’ AI and Data & Knowledge strategy, helping the company bring its own knowledge, standards and client experience into the digital workflows where project decisions are made. One example is See Through Walls, a joint project using AI, sensor data and predictive modeling to infer the condition of what is hidden inside existing buildings, supporting material reuse, circularity and decarbonisation.
Heather Polinsky, CEO, Arcadis, said, “Working with Autodesk, we are bringing that knowledge directly into the workflows where our teams design and decide. By combining our expertise with AI, data and digital capabilities, we can help our teams work smarter with accuracy, giving them more time to focus on the complex challenges our clients need us to solve.”
Andrew Anagnost, President and CEO, Autodesk, said, “Arcadis and its strong leadership team are clearly organizing for the future, not simply adopting new technology. They understand that AI creates the most value when grounded in deep industry expertise, trusted data, and real-world context. That’s how AI becomes project intelligence, helping people make better decisions and deliver better outcomes for clients.”
Arcadis’ wider digital ecosystem includes partnerships with other organisations. Together, these capabilities support Arcadis’ services model, bringing domain experts, product teams, data specialists and client teams together to redesign workflows that can create repeatable and scalable value across clients, sectors and geographies.
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