Trajectory has raised $45 million to advance its mission of making AI model training more accessible to people who are not machine learning engineers. The one-year-old startup is now valued at $300 million, highlighting strong interest in tools that broaden who can build and refine AI systems.
This is a meaningful step toward democratizing AI development. By helping domain experts participate directly in model training, platforms like Trajectory could allow professionals in fields such as healthcare, finance, manufacturing, education, and science to shape AI tools around real-world needs.
Why this matters
- Lower barriers: Nontechnical experts could contribute to AI development without needing advanced coding or ML infrastructure knowledge.
- Better domain alignment: Specialists can help train models using practical expertise that engineers may not have.
- Faster adoption: Easier training workflows can help organizations customize AI for specific use cases more quickly.
While Trajectory is still young, the funding round suggests that investors see major potential in making AI model training more intuitive and collaborative. If successful, the company could help move AI creation from a narrow technical specialty into a broader, more inclusive workflow.