AI hardware startup Flow Engineering raises $50 million from Valor, Atreides, and Sequoia

### AI Hardware Startup Flow Engineering Raises $50 Million at $750 Million Valuation

Flow Engineering, a San Francisco-based startup developing artificial intelligence tools for hardware engineers, has raised $50 million in a Series B funding round that values the company at $750 million.

The investment was co-led by Valor Equity Partners founder Antonio Gracias and Atreides Management founder Gavin Baker. Both investors have backed companies associated with Elon Musk, adding prominent technology and industrial investors to Flow Engineering’s growing list of supporters.

Sequoia Capital, which led Flow Engineering’s Series A round in October 2025, also participated in the latest financing. Former Sequoia partner Roelof Botha invested personally and has joined the startup’s board as an independent director.

Flow Engineering is developing AI agents designed to automate parts of the hardware development process. Its platform connects computer-aided design, product requirements, simulations and testing data, helping engineering teams identify whether designs meet technical requirements and verification standards.

The company says its technology is being used by a growing group of hardware manufacturers and technology companies, including Anduril, Rivian, Joby Aviation, General Motors PPU, Stoke Space and RV Tech, a joint venture involving Rivian and Volkswagen.

Founder and CEO Pari Singh argues that hardware engineering is entering a transformation similar to the one AI has already brought to software development.

Singh said that when he became a mechanical engineer, he expected to spend his career focused primarily on invention. Instead, much of the daily work involved digital tasks such as CAD, spreadsheets and simulations.

According to Singh, AI agents could increasingly take over repetitive execution work, allowing engineers to devote more time to invention, system architecture, engineering tradeoffs and decision-making.

Flow Engineering says its platform has become a requirements and verification system for several advanced hardware teams, including those working at Anduril, Joby Aviation and Stoke Space.

The startup is also positioning its technology for established manufacturers rather than limiting its focus to emerging technology companies. Singh highlighted General Motors PPU and the Rivian-Volkswagen joint venture RV Tech as examples of major industrial organizations using Flow to change elements of their product-development processes.

The company’s latest funding comes as AI increasingly expands beyond software into physical products and industrial engineering. Companies developing robots, aircraft, vehicles, spacecraft and other complex systems face lengthy design and testing cycles, creating opportunities for AI tools that can automate parts of those workflows.

Botha said his confidence in Flow Engineering has increased since he led its Series A financing. He said his decision to invest personally and join the board was driven by the company’s team, business traction and the potential for AI to accelerate hardware development.

Botha also pointed to the growing importance of companies that combine hardware and software, arguing that Flow Engineering can help both established manufacturers and newer hardware companies adopt agent-based development methods and shorten product-development timelines.

Flow Engineering said its customers include teams working on some of the most advanced hardware projects in the market, ranging from humanoid robots and hypersonic aircraft to satellite constellations.

The startup believes its AI tools can help these engineering teams test ideas more quickly, reduce manual work and move products from early designs toward production faster.

The $50 million financing gives Flow Engineering additional capital to expand its platform and pursue its broader goal of bringing AI agents into the core processes used to design, verify and develop physical products.

The company’s rapid valuation growth also reflects increasing investor interest in AI applications that extend beyond traditional software and into the engineering and manufacturing industries.