Trajectory, a Stanford-founded startup, raised $45M in a Series A at a $300M valuation led by Sequoia, with Nvidia, Bessemer, and Bain Capital Ventures participating. The company aims to automate AI model fine-tuning through continual learning, enabling non-technical businesses to let their models improve over time from feedback without needing expensive research teams.
Background
Fine-tuning foundation models for specialized domains is resource-intensive, typically requiring dedicated ML teams or expensive consultants. Continual learning has emerged as a promising direction to reduce this barrier.
- Source
- TechCrunch
- Published
- Nov 3, 2026 at 07:13 AM
- Score
- 6.0 / 10