Stop renting intelligence.Start owning your aI.
Evaluate open source models against real production sessions, see which work canleave the frontier, and build models for the steps that repeat across your agents.
Turn Raw Production Traffic Into Sessions.
Bring in the production traces you already have. Orbitrage groups the model calls, tool calls, handoffs, retries, and outcomes behind each user request into one session.
Every Session Gets Labelled & Clustered Automatically.
Orbitrage groups sessions by the work they performed and the problems they encountered. Repeated calls, lost context, failed steps, and edge cases surface without manual sorting. Cases that need human judgment are flagged for review.
Your Production Traffic becomes Your AI Test Suite.
Turn real production sessions into evals that stay tied to the work your users actually send. As new sessions arrive, your test set keeps growing with your workload.
Those evals test whatever you change.
Try a new model, prompt, provider, or configuration against the same production-derived evals. Orbitrage compares what changed, what failed, and what it costs before anything changes in production.
Repeated Steps Become Specialized Models.
When the same step repeats across your agents, Orbitrage can fine-tune a model specifically for that work. The weights belong to you, and the model can serve every agent that needs the step. Frontier models handle everything else.
Frequently asked questions.
Everything you might want to know about how Orbitrage works.
Orbitrage uses your production sessions to build evals, test model, prompt, and configuration changes, and show you what works, what breaks, and what each change costs before you change production.
Most observability starts with individual traces and calls. Orbitrage works from the full session behind a user request and uses those sessions to test what you change next. It is not just showing you what happened. It helps you decide what to change.
No. You can start with the production traces and data you already have. You can also route your agents through Orbitrage when you want the full stack.
A session is the complete work behind one user request. It can include multiple agents, model calls, tool calls, handoffs, retries, and the final result.
Orbitrage turns real production sessions into reusable evals based on the work your users actually send, including the edge cases your system encounters in production.
You can test changes to models, prompts, and configuration against the same production-derived evals. You can compare a candidate model with the model you use today before making the change.
No. Production traffic provides the sessions used for testing. Candidate changes are evaluated against those sessions before they are introduced into production.
Orbitrage shows which steps a lower-cost model can handle and which still require frontier intelligence. You can then move the work that meets your standard to open-source models.
Yes. When the same work repeats across your agents, Orbitrage can build and fine-tune specialized models for those steps using production data. The resulting model can be used across the agents that need it, with the weights owned by your company.
The task can fall back to a frontier model. That production case can then become training data for the next model update, so the specialized model improves on the work it previously could not handle.
Talk to our team.
Pick a time that works for you and we'll walk you through Orbitrage.