Services
Frontier-grade training, without the frontier budget.
Custom training and fine-tuning runs built on our efficient-methods research — we plan the run, build the data, train the model, and hand you everything.
- Fine-tuning on your own data
- Efficient architectures by default
- Evaluated before handoff
Deliverables
What you walk away with.
Engagements end with artifacts on your side of the table — not a dependency on ours.
Trained weights, yours outright
The run ends with a handoff, not a subscription: weights, configs, and training logs are delivered, not hosted.
Data built for the run
Training data curated from your domain — or generated and validated by the same pipeline behind our open datasets.
An evaluation you can rerun
Every run ships with its eval harness and baseline comparisons, so 'better' stays measurable after we're gone.
How it works
Four steps, no mystery.
Every engagement runs the same visible arc — you can see where you are from day one.
Scope
Targets, constraints, and the base model — we agree on what success measures before anything trains.
Data
Curate what you have, generate what you don't — validated with the same gauntlet as our open releases.
Train
Efficient methods from our research keep compute honest — less hardware, same result.
Hand off
Weights, harness, and logs delivered; your team runs the follow-ups.
Every run ends the same way — the model belongs to you.
Get started
Bring the problem — we'll bring the lab.
Tell us where you are and where the run needs to land — we'll scope the engagement and put researchers on it.