Distillation as a service

Distill frontier models to smaller ones you can own. Achieve lower latency, lower cost and preserve business edge. We provide a simple template.

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A simplified process to cut token cost, reduced latency, and preserving edge.

4.2B tokens Run 12,400 412/412 pass Your cloud p99 180 ms

Animated isometric drawing: frontier models and training logs feed a distillation core on the left, the distilled model passes through an evaluation gate, deploys into a dashed boundary marking the customer's cloud, and serves a harness and a gateway from there.

Seamless integration.

We provide end-to-end solutions from logging frontier calls, importing training set, to distilling, to eval, and deployment. We provide observability and keep traces at every step in the process.

Our agent onboards you through the process and unblocks you whenever you request.

Baseline 88.6 Tuned 7B 94.1 +5.5 pts

Isometric measurement drawing: a baseline bar and a taller tuned bar stand side by side on the same dashed stage with their bases level, beside a score mast ruled from 80 to 95. A dashed reference line leaves the mast at the baseline reading and runs level across to the tuned bar, and the sky-blue section standing above that line is dimensioned as the gain.

The eval gate and the handoff

Beyond maximizing a benchmark

Our goal is to ship business value. We will spend time with you to understand the North Star goal first. Then define a benchmark that is aligned with your goal, so that any dollar spent goes directly to your bottom line.

Step 12,400 Reward 0.86 412/412 pass

A measurement panel showing a smooth training reward curve that climbs steeply, then flattens and lands on a dashed reference line marked frontier, wrapped in a pale confidence band that is widest early and tightens onto the line as training converges, standing on an isometric plate with a small sky-blue block in front of it. On a slow loop the band and curve draw themselves and the endpoint dot appears, while the frontier line's dashes advance.

Deploy the model anywhere

The distilled checkpoints are fully exportable: weights, tokenizer, log, and harness. We support inference serving but you can export the weight and run the model in any platforms.

Your cloud 3 replicas p99 180 ms

Three model replicas standing inside a dashed boundary that marks the customer's own private network.

Bring us a task.

We pair RL experts with your team to quickly identify the highest‑impact use cases to meet your business goals. Within a few weeks, you’ll see side‑by‑side evals that quantify how RL‑trained agents outperform standard implementations on your own metrics of quality, compliance, and cost.

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