The Stanford‑originated startup announced a Series A round that will fund a low‑code platform designed to let business users train custom AI models without deep technical expertise, cutting the expense of bespoke solutions.

Trajectory, a startup founded by Stanford alumni, announced a $45 million Series A round aimed at democratizing AI model fine‑tuning for non‑technical teams.

Funding round details

The round was led by Andreessen Horowitz with participation from Sequoia Capital and several corporate venture arms. The capital will fuel product development, expand the go‑to‑market team, and accelerate integrations with major cloud providers.

A low‑code solution for business users

Trajectory’s platform offers a visual interface that lets product managers, marketers, and analysts upload domain‑specific data, select a pre‑trained model, and launch fine‑tuning jobs with a few clicks. The system abstracts away code, hyper‑parameter tuning, and infrastructure management.

By handling the heavy lifting in the background, the platform promises to cut the cost of custom AI projects by up to 70 % compared with traditional consulting engagements.

Target markets and use cases

  • Customer support teams building domain‑specific chatbots
  • Sales organizations creating tailored lead‑scoring models
  • HR departments training models for resume screening

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Read the full report in TechCrunch coverage of Trajectory Series A.

Track coverage on Momentum · More in AI.