Trajectory, a startup founded by three Stanford classmates, secured $45 million in a Series A funding round. The company develops a platform that automates the process of teaching AI models to learn from feedback and improve specialized tasks. This approach allows businesses to connect to open source models and collect feedback to drive retraining.
The 18-person startup is now valued at $300 million following the investment. Sequoia led the round with participation from Nvidia, Bessemer Venture Partners, and Bain Capital Ventures. Trajectory aims to make deploying specialized AI faster and cheaper for experts like lawyers and doctors. The co-founders emphasized that human involvement in the training process makes their approach safer than autonomous self-improvement.
Existing customers include Harvey, Rogo, Decagon, Mercor, and Nvidia. The funding will likely accelerate the startup’s growth as it competes in the space of human-in-the-loop AI development. This investment signals strong confidence from major venture firms in the market for specialized AI tools that require expert oversight.
