Trajectory raises $45 million Series A at $300 million valuation, led by Sequoia

Trajectory has raised a $45 million Series A at a $300 million valuation, first reported by TechCrunch. Sequoia led the round. Nvidia, Bessemer Venture Partners and Bain Capital Ventures participated. The company's own site shows $60M in total for its Series A plus seed funding.

Three Stanford classmates started the company roughly a year back, and it now has 18 people. The co-founders are Ronak Malde, Michael Elabd and Arjun Karanam. Malde was among the researchers Google DeepMind acqui-hired from Windsurf. Elabd was earlier at DeepMind. Karanam worked at Apple on generative foundation models.

Trajectory tackles a known gap. Current AI models do not learn from their mistakes without more training. Firms in fields like law and finance fine-tune general models, which often needs in-house research teams or costly forward-deployed engineers. Trajectory instead collects feedback from applications and retrains open source models for specialised tasks. The company says it works with any agent harness, needs two code changes to start and is SOC 2 certified.

Its customers include Harvey, Rogo, Decagon, Mercor and Nvidia. Co-founder Ronak Malde told TechCrunch: "But what the economy values is someone who worked on the job for 30 years," Rivals include Thinking Machines Lab, founded by Mira Murati, a former OpenAI CTO. Applied Compute, valued at $3.25B, and Prime Intellect are also in the field.