Endra AI

Endra is a Stockholm-based platform that uses AI to automate mechanical, electrical, and plumbing (MEP) design for commercial buildings, the engineering work that determines how heating, power distribution, lighting, fire alarms, and water systems get specified across every floor of a project. It integrates with Autodesk's Revit, the standard CAD tool used across the MEP industry, so engineers can upload a 3D architectural model, select the building code requirements and system type they want to design, and have the platform generate the engineering model along with the necessary documentation. The pitch to MEP firms, general contractors, and developers is straightforward: a process that traditionally takes two months of specialized engineering work gets compressed to less than a day. This launch marks the company's Series A. Endra raised $50 million led by Andreessen Horowitz , on top of a prior $20 million seed led by Notion Capital with Norrsken VC and a roughly $3.4 million pre-seed, bringing total funding to $74 million inside its first 18 months. The timing matters because the built world still relies on infrastructure software predating some of its users , and large engineering consultancies are now actively rethinking how AI fits into the design stack rather than experimenting around the edges. The four co-founders are Niklas Lindgren (CEO), Anton Juric, David Rydberg, and Gustav Hammarlund. Lindgren and Juric are childhood friends with prior startup experience and roots in MEP consulting, joined by David Rydberg and Gustav Hammarlund, who worked together on Goldman Sachs' low-latency trading desk. That mix of domain empathy and systems engineering shows up in the product surface, which targets the rote, repetitive portion of MEP work (placing devices, running circuits, checking code compliance) so engineers can spend more time on analysis and design intent.