Know which model to ship.
A decision table: every model scored on the axes you care about, with error bars, so you're not acting on noise.
Independent eval · LLMs & AI agents
We build the private proof of which model belongs on which job, at what cost, with what confidence.
Runs in your VPC (your own cloud) · Your data never leaves
No model wins everywhere. We tell you which one wins your job.
The teams furthest ahead already build their own evals
What you walk away with
A decision table: every model scored on the axes you care about, with error bars, so you're not acting on noise.
A cost-quality frontier that shows, with your logo on it, exactly how much cheaper the same quality is.
Independent evidence mapped to RBI FREE-AI, the EU AI Act, and ISO 42001. The one thing your in-house team can't sign.
Public scores are contaminated and blind to your harness. A model that loses in public can win in your stack. We measure yours.
Why leaderboards lie →Where we go deepest
Public benchmarks grade a public toolset. We score whether your agent picks the right tool from your MCP (Model Context Protocol) servers, the whole path, not just the answer.
See the method →Four ways to work with us
We audit your current eval. Credited against the build.
The decision, built on your data, delivered in your VPC.
Every new model, re-scored. The answer stays current.
Independent evidence, mapped to your controls.
Scoped to your slate and your data. Book a call for a quote.
Straight answers
We run independent, contamination-free evaluations that prove which model or agent belongs on which job, inside your own cloud (VPC). You get a decision, not a dashboard.
Those are platforms your own team runs and grades itself with. We are an independent third party, so the result is one your board, auditor, or customer will accept. The team that built a model cannot credibly validate it.
No. Evaluations run inside your VPC (your own cloud), with judge models called using your keys. Your data and weights never leave your perimeter.
Pricing is scoped to your model slate and your data, so we quote on a call. Most teams start with a one-week diagnostic that credits in full against a corpus engagement.
Yes. We prove whether a cheaper model holds quality on your actual job, so you can switch with evidence and error bars instead of guessing.
SR 11-7, the EU AI Act, ISO/IEC 42001, India's RBI FREE-AI, and other regional regimes. One evaluation produces evidence you can reuse across frameworks.
Free 30-minute call. We'll tell you if your current eval can be trusted.