# Trajectory raises $45 million at a $300 million valuation

- Published: 2026-11-02T23:13:53.000Z
- Updated: 2026-11-03T10:11:48.634Z
- Section: Market
- Topics: Business
- Page: https://aidailyjournal.com/en/n/2026/11/02/trajectory-raises-45-million-at-a-300-million-valuation/
- Sources: [TechCrunch](https://techcrunch.com/2026/11/02/trajectory-raises-45m-to-make-ai-model-training-accessible-to-nontechnical-experts)

## Summary

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.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._