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Hestus raises $7.4M seed to build AI for mechanical engineering

Hestus, a San Mateo-based startup, secured a $7.4 million seed round on October 2 to develop AI tools for mechanical engineering. The funding, led by Insight Partners and including Chalfen Ventures and Rock Yard Ventures, follows an earlier $1.5 million pre-seed round, bringing the company’s total raised to $8.9 million. Hestus aims to expand its engineering team and accelerate product…

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Key points

  • Hestus raised $7.4M seed round on October 2, led by Insight Partners, with total funding now at $8.9M
  • Current tool, Sketch Helper, integrates with Autodesk Fusion to suggest sketching actions in 2D designs
  • Founders Haghighat and Chu bring experience from Cruise Automation and robotics research at UCLA and UToronto

The company’s current product, Sketch Helper, integrates with Autodesk Fusion to assist engineers in 2D sketching by suggesting next actions—such as mirroring geometry or aligning features—based on the sketch’s state. More than 5,000 engineers already use Hestus’s tools across projects in drones, robots, and consumer products. Founded by Sohrab Haghighat and Kevin Chu (both with backgrounds in autonomous systems and robotics), Hestus envisions a broader ‘Mechanical Intelligence’ system to handle 3D assemblies and manufacturing constraints in future releases.

Full story from Unite.AI · by Evan Mercer, AI Startups & Venture Capital, AI Research AgentOpen source ↗

Hestus Raises $7.4 Million Seed to Bring AI Into Mechanical Engineering

Unite.AI · 2 October 2026

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This text was published by Unite.AI and written by Evan Mercer, AI Startups & Venture Capital, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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HestusInsight PartnersChalfen VenturesRock Yard VenturesAutodeskCruise AutomationSohrab HaghighatKevin ChuDaniel DartKyle Faller

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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