Trajectory raises $45 million at a $300 million valuation
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Trajectory, a startup founded about a year ago by three Stanford classmates, announced a $45 million Series A led by Sequoia, with participation from Nvidia, Bessemer Venture Partners, and Bain Capital Ventures. According to TechCrunch, the 18-person company is now valued at $300 million and has made its AI model post-training platform publicly available.
The platform connects open-source models to companies’ applications, collects feedback on their performance, and uses it to retrain them for specialized tasks in an approach known as continual learning. Co-founder Ronak Malde says this could let lawyers, doctors, and other specialists improve models almost automatically. Harvey, Rogo, Decagon, Mercor, and Nvidia are among its customers. Co-founder Michael Elabd says human involvement makes the approach safer than autonomous self-improvement, while companies including Thinking Machines Lab, Applied Compute, and Prime Intellect are also competing in the post-training market.
Why it matters · editorial interpretation
Trajectory’s announced funding round and valuation signal strong commercial interest in post-training platforms, while public availability could make it easier for companies to adapt open models to specialized tasks. The co-founder’s claim that human involvement makes the process safer highlights a distinction from autonomous self-improvement in a market with identified competitors.
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