Skip to content

The platform for continual learning

Own your own value function

You know what good looks like.
Now you can craft your models around your taste on one platform—and watch them learn from every customer interaction.

Where leading AI keeps learning

Clay
Mercor
Harvey
Decagon
Rogo

The platform

The easiest way to
train your models

Shape, evaluate, and ship improvements, all on one intuitive platform made for the experts on your team, not just researchers in a lab.

  1. Trajectory works with any agent harness and takes just two code changes to get started.

  2. Bring examples of what good looks like and run sophisticated trainings in one click. See how your model performs and steer it towards your goals.

  3. See where and why your model delivers the best results against other leading models. Identify gaps and easily make improvements.

  4. When you're ready to launch, push updates live with just a click.

The vision

Building intelligence that never stops learning

Shaping your models is just the beginning. We're building the key tools that let you scale your expertise and own your entire learning loop.

  1. One unified training platform

    Train, evaluate, and deploy improvements on your own platform, without waiting for a lab or the next big model release.

  2. Continual Grading

    Research preview

    Define what good looks like for a subset of traces. Let Continual Grading apply it across all your production data, scaling your taste in seconds.

  3. Group Size 1

    Research preview

    Enable your models to train on every production interaction with Group Size 1 instead of freezing at launch, so they keep improving over time.

Already learning from real use

NVIDIA
“Here's Trajectory and Harvey using Nemotron, post-trained it and created their own frontier-level capability.”

Jensen Huang, Founder and CEO of NVIDIA, at GTC on Trajectory and Harvey post-training Nemotron into frontier-level capability.

View on X
Clay
“We're testing a model that's getting smarter over time from our users. We've already seen examples of it learning from its mistakes.”

Kareem AminCEO

Decagon
“Our collaboration is focused on how to measure and improve steerability. That's what it takes to let a system of specialized models keep improving.”

Cyrus AsgariResearch Engineer

Harvey
“With Trajectory, we're building toward agents that can carry the evolving domain expertise behind important legal work.”

Gabe PereyraPresident & Co-Founder

Your data, trained and deployed on your terms

SOC 2 Certified

Decide which data trains

Our high data governance standards mean you define the boundaries of what your systems learn from.

Ship with certainty

Every model update runs through your eval suite and approval workflow before it touches production.

Maintain full visibility

Audit every training run and improvement. See exactly what the system learned, why it changed, and how it performs.

The team

Built by lifelong learners

We're researchers who brought continual learning to robotics, 3D foundation models, and SWE‑1. We're also product designers who've shipped products that millions use every day. We believe true intelligence doesn't stand still. So we're building a future where every company can shape where its intelligence goes next.

Built by researchers from

  • Apple
  • Google DeepMind
  • Scale AI
  • MosaicML
  • OpenAI
  • Meta

$60M Series A + Seed

Backed by the people pushing frontier intelligence forward

  • Sequoia
  • Conviction
  • NVIDIA
  • Notion
  • Hugging Face
  • Dropbox
  • Braintrust
  • Modal
  • Fei-Fei Li
  • Jeff Dean