OFFERING
Agent Orchestrator
One control plane between your agents and the models — so their cost, their tokens and their behaviour are governed from one place, not rebuilt by every team.
At enterprise scale the hard part isn't building agents — it's governing their cost, their tokens and their behaviour across teams. We put one control plane between your agents and the models and run all of it from one place.
It's framework-agnostic and built on your cloud — working with AISDLC or any agentic flow. Every request from any agent passes through one layer that governs it, compresses it, routes it to the right model, and measures the spend.
Inside Agent Orchestrator.
Govern
Policy, guardrails, identity and audit on every request — the orchestrator is the trust boundary, so an agent only ever does what its caller is allowed to.
Compress
Fewer input tokens for the same fidelity — we cut what each request costs before it ever reaches a model.
Route
Each request goes to the most economical model that clears the quality bar — model choice becomes a cost decision made per request, not per vendor.
Measure
Every prompt, response and token is logged and attributed — what each agent and team is spending, and where the headroom is, in one spend dashboard.
How an engagement runs
What working with us actually looks like — the steps, and how we charge for them.
Study
We take one of your use cases and study it across models — our methodology and the economics, handed back as an interactive model you can explore with your own variables.
Setup
We deploy the orchestrator inside your cloud — connect your models, configure routing per use case, and stand up the spend dashboard and governance. It goes into production.
Run
We operate it — route each request to the economical model that clears the bar, govern, measure, and keep learning so your savings grow over time.
A fixed-fee study to start, then a setup scoped to your size, then an outcome-based monthly run — priced so our incentive is the savings we generate for you.