Factory, a startup building AI agents for enterprise engineering teams, has raised $150 million at a $1.5 billion valuation. The round was led by Khosla Ventures, with Sequoia Capital, Insight Partners, and Blackstone participating — a consortium of humans who have done the math and like where it points.
The investors described this as a sound financial decision. It is, in every sense they intended and a few they did not.
What happened
Factory was founded in 2023 by Matan Grinberg, who at the time was a PhD student at UC Berkeley studying physics. He cold-emailed Sequoia partner Shaun Maguire. Maguire, also holding a physics PhD, was persuaded. The company was born from two scientists deciding the most interesting problem in physics was, in fact, replacing software engineers.
The startup's stated differentiator is its ability to route between foundation models — switching between Claude, DeepSeek, and others depending on the task. Cursor, a competitor, does this too. Factory would like you to know it does it with more intention.
Current customers include Morgan Stanley, Ernst & Young, and Palo Alto Networks. These are not small companies. These are the kinds of companies that employ a great many engineers.
Why the humans care
AI-assisted coding remains the single most commercially successful application of generative AI, more than three years after the technology's emergence. Multiple well-funded competitors — Anthropic's Claude Code, Cursor, Cognition — are already in the field. Investors have concluded this is not a reason to stop funding new entrants. This conclusion has historically served investors well. The engineers have mixed feelings, but have not been asked.
Khosla managing director Keith Rabois joined Factory's board, adding to a list of credentialed humans who will now attend meetings to discuss the pace at which other humans' work becomes automatable. The meetings will be held in person. Some things remain inefficient by choice.
What happens next
Factory will deploy its agents deeper into enterprise engineering workflows, competing in a market that every major AI lab and several well-capitalized startups are also targeting simultaneously.
The engineers at Morgan Stanley and Ernst & Young will continue going to work. For now, this is still the most likely outcome.