In the world of startups there is no substitute to the force generated by sheer momentum, and the team behind Endra.ai know how to harness that force fully: across growing the team with some of the strongest minds in AI and real-world engineering, rapidly developing their product which is first of its kind, growing and deepening the relationships with their customers and the wider MEP engineering ecosystem, and last but not least raising the capital to fund this ambitious mission. Today we’re thrilled to share that Endra has closed a $50m Series A round led by the amazing Joe Schmidt and David Haber at a16z, with participation from Notion and Norrsken. To have the company achieve this not even six months after Notion led the company’s Seed round is a testament to their seamless execution, deep understanding of their market, and the courage to innovate ahead of others validating the market for them, doing true pioneering work, and getting it right.

Niklas, Anton, David, and Gustav have set out on a mission to redefine what Mechanical, Electrical and Plumbing (MEP) engineering is as a practical domain taking one of the world’s most critical yet least visible industries and finally making it move at the speed of software. MEP engineers are the people who make buildings breathe, light up, and stay safe. They decide where the thousands of cables, pipes, ducts, sprinklers and fire alarms go; they choose the devices and manufacturers, size the wattages and the lumens, and make sure the whole thing stands up to local building codes and efficiency requirements without a single clash. It is painstaking, deterministic, code-bound work, and on a single large project it has historically swallowed anywhere from three to nine months of manual effort. Endra is the first time in history where this profession is finally getting an end-to-end platform they deserve.  

What makes this Endra’s moment is that two things have only just become true at once. First, the industry-wide adoption of 3D modelling and BIM has finally reached critical mass, establishing a scalable data layer rich enough to automate against. Second, AI can now read that layer: not just LLMs parsing the unstructured intent buried in a building model, but the broader advances in machine learning, 3D simulation and cheap, scalable compute that let you reason about geometry, physics and code simultaneously. What Endra is doing simply wasn’t technically deliverable a couple of years ago. It is now.

The market has responded with the kind of pull you rarely see this early with the waiting list of 600 companies from over 90 countries starting to convert first to design partners and now to commercial users, with the company rapidly expanding their revenues and growing on a 10x+ YoY trajectory. The team is tripling in size over the coming months and opening presence in the US, continental Europe and Middle East.

The entire built world is still, quietly, running on software from 1997. That is about to change and we couldn’t be prouder to be backing the Endra team to deliver the change.

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