Trajectory bets $300 million valuation on AI models that learn on the job

The DeepMind and Apple alumni startup launched a self-service platform that turns everyday user corrections into ongoing model updates Today’s AI models have a stubborn flaw. They make the same mistake on Monday that they made on Friday, unless someone retrains them. Trajectory, a San Francisco AI infrastructure startup, has raised serious venture money on the premise that this flaw is fixable. It now has a self-service product meant to put that fix in the hands of ordinary businesses. From stealth to $300 million in a few months Trajectory came out of stealth in May 2026. Its founders are Ronak Malde, Michael Elabd and Arjun Karanam, part of a group of former researchers from Google DeepMind and Apple. The company opened with a $15 million seed round, announced around May or June 2026 at a $115 million post-money valuation. That alone would be a respectable debut. Then August arrived. Trajectory raised a $40 million Series A at a $300 million post-money valuation, which more than doubled its paper value in roughly a single summer. Total disclosed funding now sits at approximately $55 to $65 million. The backers include Sequoia Capital, Nvidia and Bessemer Venture Partners. On Nove...