❯ Trajectory raises $45 million to put model post-training in domain experts’ hands

Funding accompanies the platform launchTrajectory announced a $45 million Series A on November 2 at a $300 million valuation, led by Sequoia with NVIDIA, Bessemer and Bain Capital Ventures participating. It also launched its enterprise post-training platform. Its website lists $60 million raised across the seed and Series A rounds.

Convert domain feedback into training materialPost-training improves a broadly trained model using specific tasks and feedback. Trajectory combines training, evaluation and deployment, allowing legal, financial and other domain experts to supply tasks, examples and scoring standards. A lawyer’s corrections to contract reviews, for example, can become training signals reflecting the organization’s preferred judgments.

Evaluate and approve updates before deploymentTeams at Harvey, Rogo, Mercor and NVIDIA already use the platform. Trajectory aims to reduce the infrastructure burden of continuously improving specialized models, keeping expertise within a company’s own models and feedback processes. Updates pass through customer evaluation and approval before production, so improvement proceeds through defined training and release steps.

▮ SIGNALTurning experts’ judgments into recurring training feedback gives companies a way to accumulate proprietary knowledge in their models.