Building the platform for Continual Learning
Joined December 2025
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Yesterday we launched the Trajectory platform to the world, the easiest and most intuitive interface to post-train models.
Here's a preview of how you can get started with training a model with just a few agent prompts!
Join our waitlist today, we're actively onboarding companies as fast as we can! trajectory.ai/waitlist
Today we are launching the Trajectory platform, the easiest and most intuitive tool to post-train models of your own.
The first step to continual learning is empowering every individual to train, eval, and deploy models with just a few agent prompts.
The second is the frontier research that breaks down barriers to reward functions and environments.
Here, we present Group Size 1 (GS1) and Continual Graders in beta.
We believe in a world where AI gets smarter the more it's used, and Trajectory is the way to get there.
Imagine if everyone had the tools to shape intelligence itself. That day is today.
Today we launch the Trajectory platform - the easiest and most intuitive tool to post-train models of your own. The foundation for continual learning.
With just a few agent prompts, you get access to a full creative suite to train, eval, and deploy trillion parameter models.
On top of that, we believe in a future where you don’t just shape your model once, it also keeps learning on its own from the world around it.
We’re releasing two research previews.
1. Continual grading scales your taste, so your model learns what good looks like from far more than you could ever grade by hand.
2. GS1, a new algorithm that lets models learn directly from what they do in production.
We’ve now raised 60M, with a new round led by @Sequoia at a 300M valuation to democratize the most powerful technology of today - training models - so that the lawyers, doctors, and engineers of the world can own their own intelligence.
You know what good looks like, now go build it. Own your own value function with Trajectory.
Trajectory retweeted
we’re bringing together some of our fave creatives next sunday afternoon of design x storytelling
lightning talks on narrative building, writing online creative tech, filmmaking, launches and more
come join <3 ft @designengclub @osmo_studio @trajectorylabs
Imagine running your company with 100 clones of one employee. Today, that’s how most teams use AI.
Adam Smith explained why that’s a bad deal in 1776. He just didn’t know he was talking about agents too 🧵
And lastly, Speed. Smith also noticed how much time workers lose switching between steps.
For models, that waste shows up as tokens. Base Nemotron burned ~707k output tokens per solved legal task. After training: ~305k.
2.3x less work for the same result.
AI’s Industrial Revolution is just starting, and the specialists are on their way.
Read Lucy's full thought piece here: trajectory.ai/field-notes/ad…
Trajectory retweeted
@JensenHuang at GTC:
"Here's Trajectory and Harvey using Nemotron, post-trained it and created their own frontier-level capability."
"With customization and with partners in the ecosystem that we work with, you could turn these models into the frontier.
And a result, turn your proprietary data into sovereign intelligence"
It's great to be doing work with such amazing companies like @harvey and @nvidia over here at @trajectorylabs!
We trained NVIDIA Nemotron 3.5 Super VL on Harvey’s Legal Agent Bench.
It now scores level with Opus 4.7 on rubric criteria, at $1.34 per million tokens vs $15. 🧵
However, benchmarks are tidy and production isn’t, so these are just early results. But they show the direction we care about.
Base models turn over every few months, so what's durable is your tasks, your graders and your traces. With Trajectory, whoever owns that loop gets to swap in every new model the day it ships.
Huge thanks to @NVIDIAAI and @harvey . Nemotron keeps showing that open models can do real work, and they’re genuinely good to post-train on.
3.5 Super VL is live on Trajectory today. We’re really excited to see what customers do with it.
Read more: trajectory.ai/field-notes/ha…
Trajectory retweeted
7pm tonight @ 680 Folsom St, SF. @trajectorylabs x VESSL AI, for #sftechweek
RSVP: partiful.com/e/UdGWc3yV9ffPB…
