Trajectory raises $45M to make AI model training accessible to nontechnical experts

Trajectory, a one-year-old startup founded by three Stanford classmates with experience at Google DeepMind and Apple, has raised $45 million in a Series A round at a $300 million valuation. The startup aims to automate the process of fine-tuning AI models for specialized fields by allowing businesses to connect their open source AI models to their applications, collect feedback, and retrain the model to improve its performance over time. This approach, known as continual learning, enables non-technical experts, such as lawyers and doctors, to improve the models themselves without hiring internal research teams or relying on expensive consultants. The startup is already working with companies like Harvey and Rogo to deploy specialized AI faster and cheaper.