Trajectory raises 45 million dollars for automated AI model fine tuning

Artificial intelligence startup Trajectory has raised 45 million dollars in a new funding round that values the company at 300 million dollars, TechCrunch AI reported. The one year old startup was founded by three Stanford classmates who previously worked at Google DeepMind and Apple. [1]

According to TechCrunch AI, existing artificial intelligence models created by companies such as OpenAI and Anthropic do not learn from their mistakes without additional training. Enterprise users in specialized sectors like law and finance usually address this limitation by fine tuning general models. That process typically requires hiring internal research staff or relying on third party consultants known as forward deployed engineers. [1]

Trajectory aims to automate the fine tuning process by enabling models to learn continuously from user feedback, TechCrunch AI reported. In artificial intelligence research, companies increasingly rely on automated systems for coding and development, though human input remains necessary, according to background entries. [1][2]