Flow Engineering Lands $50M Series B at $750M Valuation for Agentic Hardware Platform

Flow Engineering, a San Francisco company building an agentic platform for hardware development, announced on September 30, 2026, that it has raised a $50 million Series B at a $750 million valuation. The round was co-led by Antonio Gracias, founder of Valor Equity Partners, and Gavin Baker, Managing Partner at Atreides Management.

Series B Investors and Board Addition

Sequoia Capital, which led Flow’s Series A, participated in the round alongside Human Capital, Evantic, SV Angel, Odyssey, and EQT, with additional contributions from Hugging Face co-founder Thomas Wolf, Mercedes-Benz CIO Jonas von Malottki, and Formula 1 world champion Nico Rosberg. Roelof Botha joined Flow’s board as an independent director and personally invested in the company.

According to the announcement, Gracias was an early investor in Tesla and serves on the boards of SpaceX and Neuralink, and Valor Equity Partners has also backed Anduril. Baker was an early investor in Nvidia, Tesla, xAI, and SpaceX, with a focus on AI, semiconductors, and advanced computing.

Gracias said his firm was introduced to Flow by engineers it had worked alongside for years, and that the market pull from trusted executives gave him confidence to back the company at an early stage. “Flow is building the OS on which physical products are specified, verified, and eventually designed,” Baker said, adding that the platform substitutes software for scarce engineering capacity as hardware programs grow more complex.

Platform and Customer Adoption

Flow describes its product as a living system of record that connects requirements, CAD, simulation, code, and test, with agents that continuously analyze engineering changes, identify downstream impact, and verify requirements and test coverage. The company said its goal is to reduce hardware iteration cycles from months to days. The announcement points to software development, where it says AI now writes the majority of new code at many leading companies and iteration cycles have fallen from weeks to hours; Flow said it believes the same shift is now coming to hardware.

In a memo published with the announcement, founder and CEO Pari Singh wrote that Flow’s Systems Engineering agents listen to changes in CAD, Git, Simulations, and Docs, then immediately run impact analysis, flag conflicts, and detect requirement failures. Singh wrote that in 12 months the company built and scaled its San Francisco headquarters, launched Flow v3, and deployed its agents in real hardware programs, adding customers the memo describes as industry leaders across space, aerospace, autonomy, defense, and energy.

Since its Series A in October 2025, Flow said it added General Motors PPU, RV Tech (the Rivian and Volkswagen joint venture), Anduril, Stoke Space, Intuitive Machines, and Pacific Fusion as customers. They join existing customers Rivian, Joby Aviation, Astranis, and Radiant Industries, which the company said use Flow as their default hardware development platform. Flow said its adoption at Rivian grew organically from 40 to 1,500 users in seven months, and that Rivian engineers now run millions of API calls each week.

“We evaluated 30 tools and nothing came close to Flow,” said Scott Mackenzie, Rivian’s Director of Product Development, Process & Tools. “It allows Rivian to develop faster, safer and better by bringing a collaborative approach to systems engineering.”

Singh said 96 percent of Flow’s customers come to the company inbound, and he described Flow as the de facto platform for agentic hardware. He added that AI is solving foundational problems in mathematics, biology, and physics, and that the world will look very different when AI can develop massively complex hardware systems in days.

Use of Funds and Deployment Posture

Flow said it will use the new funding to build an AI harness for hardware engineering, allowing frontier models to work securely with sensitive engineering data on live hardware programs. The company also said it will expand its review, branching, and evaluation capabilities, along with the controls that increasingly complex programs require.

On its website, the company states that the platform deploys in cloud, GovCloud, or self-hosted configurations, with ITAR and EAR alignment and NIST 800-171, CUI, SOC 2 Type II, GDPR, and CCPA compliance postures. Flow states that it uses private inference, keeps a full audit trail on every AI action, and never uses customer data for model training. The site lists agent types including an Impact Analysis Agent, a Mass, Cost and Power Budget Agent, and a Safety and Regulatory Compliance Agent, and says customers can create their own agents for coverage checks, anomaly detection, and review preparation.

Flow said it plans to grow its engineering team across AI and systems engineering, pursue FedRAMP authorization and other certifications for customers in regulated industries, and scale its sales team to meet rising demand. Singh’s memo states that the company is hiring across AI and systems engineering.