Research lab and product company building the platform for continual learning
Trajectory is a research lab and product company building a platform for continual learning, so that domain experts rather than only AI researchers can post-train models on their own production data. Teams plug in tasks with a way to score them, then train, evaluate and deploy their own model on one platform, with research previews such as Continual Grading and Group Size 1 that learn from expert judgment and real production interactions. Founded about a year ago by three Stanford classmates with experience at Google DeepMind and Apple, Trajectory announced in November 2026 a $45M Series A led by Sequoia at a $300M valuation, with participation from NVIDIA, Bessemer Venture Partners and Bain Capital Ventures.