The Platform for Continual Learning

Intelligence in motion

The Platform for Continual Learning

Intelligence
in motion

The Platform for Continual Learning

Intelligence in motion

The Platform for Continual Learning

Intelligence
in motion

Intelligence

In Motion

Trajectory turns real product usage into AI that continuously improves.

Trajectory turns real product usage into AI that continuously improves.

Trajectory turns real product usage into AI that continuously improves.

Trajectory turns real product usage into AI that continuously improves.

Already in Motion

Continual Learning for GTM
"Continual learning is an important research direction for Clay's roadmap, and Trajectory is building the infrastructure to help us explore it. We're testing a model that is getting smarter over time from our users, we've already seen examples of it learning from its mistakes.”
- Kareem Amin, CEO of Clay
Continual Learning for Customer Service
"We deploy AI across enterprise customers where the right model behavior shifts meaningfully from one setting to the next, which makes model steerability not just a research interest but a core operational requirement. Our collaboration with Trajectory is focused on understanding how to rigorously measure steerability in post-trained models, and what training techniques actually improve it. Steerability is often claimed but rarely characterized precisely, and we're trying to build the diagnostic and training foundations to change that. That is what it takes to let a system of specialized models keep improving in production."
- Cyrus Asgari, Research Engineer at Decagon
Continual Learning for Legal
“Legal expertise lives at the long tail of human knowledge. It is deeply specialized and continually shaped by precedent, judgment, and practice in ways fixed datasets cannot capture. With Trajectory, we are building toward agents that can carry the evolving domain expertise behind this important work.”
- Gabe Pereyra, President & Co-Founder of Harvey
Continual Learning for GTM
"Continual learning is an important research direction for Clay's roadmap, and Trajectory is building the infrastructure to help us explore it. We're testing a model that is getting smarter over time from our users, we've already seen examples of it learning from its mistakes.”
- Kareem Amin, CEO of Clay.
Continual Learning for Customer Service
"We deploy AI across enterprise customers where the right model behavior shifts meaningfully from one setting to the next, which makes model steerability not just a research interest but a core operational requirement. Our collaboration with Trajectory is focused on understanding how to rigorously measure steerability in post-trained models, and what training techniques actually improve it. Steerability is often claimed but rarely characterized precisely, and we're trying to build the diagnostic and training foundations to change that. That is what it takes to let a system of specialized models keep improving in production."
- Cyrus Asgari, Research Engineer at Decagon
Continual Learning for Legal
“Legal expertise lives at the long tail of human knowledge. It is deeply specialized and continually shaped by precedent, judgment, and practice in ways fixed datasets cannot capture. With Trajectory, we are building toward agents that can carry the evolving domain expertise behind this important work.”
- Gabe Pereyra, President & Co-Founder of Harvey

The Vision

Every product of the future will be a living system

1

Signal from real usage

Every edit, retry, and accept from a user is a signal. User behavior reflects real task success more accurately than any benchmark.

2

3

The Vision

Every product of the future will be a living system

Signal from real usage

Every edit, retry, and accept from a user is a signal. User behavior reflects real task success more accurately than any benchmark.

1

2

3

the platform

A creative surface for your intelligence.

Trajectory is where you observe, direct, and craft the intelligence behind your product. Watch it learn from real usage. Direct it toward what matters. Deploy with confidence.

Instrument

1 of 4

Plug Trajectory into your product with a lightweight SDK. Start capturing the signals your users are already generating: traces, corrections, re-prompts, edits.

Understand

2 of 4

See what your intelligence layer is learning. Trajectory surfaces patterns in real usage, showing you where your AI succeeds, where it fails, and why.

Steer

3 of 4

Direct what your intelligence layer optimizes for. Shape behavior with the precision of a creative tool, not a labeling interface.

Learn

4 of 4

Trajectory trains continuously on real usage and deploys improvements. Models, prompts, harness. The full stack gets better. Automatically.

Instrument

1 of 4

Plug Trajectory into your product with a lightweight SDK. Start capturing the signals your users are already generating: traces, corrections, re-prompts, edits.

Understand

2 of 4

See what your intelligence layer is learning. Trajectory surfaces patterns in real usage, showing you where your AI succeeds, where it fails, and why.

Steer

3 of 4

Direct what your intelligence layer optimizes for. Shape behavior with the precision of a creative tool, not a labeling interface.

Learn

4 of 4

Trajectory trains continuously on real usage and deploys improvements. Models, prompts, harness. The full stack gets better. Automatically.

Instrument

1 of 4

Plug Trajectory into your product with a lightweight SDK. Start capturing the signals your users are already generating: traces, corrections, re-prompts, edits.

Understand

2 of 4

See what your intelligence layer is learning. Trajectory surfaces patterns in real usage, showing you where your AI succeeds, where it fails, and why.

Steer

3 of 4

Direct what your intelligence layer optimizes for. Shape behavior with the precision of a creative tool, not a labeling interface.

Learn

4 of 4

Trajectory trains continuously on real usage and deploys improvements. Models, prompts, harness. The full stack gets better. Automatically.

Design for trust

Your Data. Trained and Deployed on Your Terms.

SOC 2 Certified

You Decide What Trains

Full control over which data is used for training. High data governance standards so you define the boundaries of what your system learns from.

Nothing Deploys Without You

Every model update goes through your eval suite and approval workflow before it touches production. You decide what ships.

Full Visibility

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

the team

Built by the researchers
who pioneered this.

The team behind continual learning for robotics, 3D foundation models, and SWE-1.
Now building the platform to bring continual learning to every product.

Backed by Conviction & AI pioneers
Fei-Fei Li
Jeff Dean
Notion
Dropbox
Backed by Conviction & AI pioneers
Fei-Fei Li
Jeff Dean
Notion
Dropbox

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Trajectory © 2026

Trajectory © 2026

Trajectory © 2026

Trajectory © 2026