Navier, which builds autonomous engineering teams for hardware design and development, today announced $5.6 million in seed funding and its launch from stealth. The round includes participation from GV (Google Ventures), HCVC, and Y Combinator.
Engineering has undergone two major productivity shifts: Computer-Aided Design (CAD) replaced manual drafting in the 1960s, then simulation software enabled virtual testing in the 1990s. Each shift reduced overhead requirements while expanding what engineers and designers could accomplish. Navier introduces the third shift: Agent-Driven Engineering (ADE), in which AI agents automate repetitive workflows between design and engineering disciplines, which still consume a significant portion of an engineer’s time.
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Navier’s ADE enhances existing CAD and simulation tools, enabling teams to maintain their current workflows while gaining automated cross-disciplinary translation. Previously, companies had to piece together a patchwork of vendors for software licenses, compute management, and other tools while manually coordinating the various systems. This complexity was furthered by the need to translate terms and processes within engineering or design disciplines.
Navier empowers teams of any size to triple their output by developing repeatable workflows and improving the scalability of smaller teams. By consolidating the entire stack into a single platform that combines AI agents, compute infrastructure, and seamless tool integration, Navier’s AI agents reduce the engineering gap that leads to costly delays. Additionally, the reduced friction enables teams to explore higher-order use cases and capabilities, pushing the boundaries of what was previously possible.
Built on proven autonomous vehicle technology from SpaceX, Tesla, and Aurora experts, Navier’s agents leverage computer vision and spatial reasoning to interpret 3D geometry and automatically align design concepts with engineering validation needs. Further, Navier’s ADE platform enables continuous validation through parallel testing and automated reporting, allowing teams to catch design-engineering misalignments.
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