Trajectory raises $45M to make AI model training accessible

Trajectory, a one-year-old startup founded by Stanford alumni with backgrounds at Google DeepMind and Apple, has announced a $45 million Series A funding round. Led by Sequoia with participation from Nvidia, Bessemer Venture Partners, and Bain Capital Ventures, the 18-person company is now valued at $300 million.

• Founded one year ago by three Stanford classmates.
• Raised $45 million in Series A led by Sequoia with a $300M valuation.
• Automates continuous AI model training using human feedback.
• Customers include Harvey, Rogo, Decagon, Mercor, and Nvidia.

The Challenge of Foundation Models

Current artificial intelligence models share a fundamental limitation: they do not learn from their mistakes without further training. Businesses adapting these systems for specialized fields like law and finance typically rely on expensive internal research teams or external consultants.

Trajectory co-founder Ronak Malde compared foundational models to a brilliant PhD student starting a new job, noting that the economy truly values experienced workers. The startup aims to solve this limitation through continual learning, bridging the gap between raw models and practical business needs.

Continual Learning and Human Oversight

The platform enables businesses to connect open-source AI models to their applications, gathering feedback on performance and retraining the models accordingly. Lawyers, doctors, and other domain experts can thus improve models automatically without requiring deep technical knowledge.

While this approach shares similarities with recursive self-improvement, co-founder Michael Elabd stresses that keeping humans in the loop makes the system safer. Autonomous self-training can lead to unpredictable or dangerous outcomes, making human guidance essential for business deployment.

Market Position and Competition

Trajectory faces competition from startups like Thinking Machines Lab, Applied Compute, and Prime Intellect. However, the founders believe their elite team and focus on design make post-training significantly more accessible to non-technical users.

Opening the platform to the public marks a major milestone for the company. By allowing organizations to define what successful performance looks like, Trajectory is paving the way for faster, cheaper, and more specialized AI integration across industries worldwide.