About us
We build the ground-truth layer for AI agents.
A private benchmark, learned from your own production traffic, that tells you whether your AI is actually getting better at your work.
Why we started.
Teams ship AI into production with no real way to know whether a cheaper model is safe to run, or where their agent quietly fails. Public benchmarks measure general capability - they don’t measure your work.
So we built an engine that learns what ‘good’ means for each of your tasks, straight from your production traffic, and turns it into a private benchmark you own. With that bar in place, every task can run on the cheapest model that still clears it, and any regression is flagged before it reaches your users.
That benchmark is your ground truth. The models are rented; the bar you build on top is what compounds as your IP.
What we believe.
Your evals are your IP
The models are rented - everyone runs the same ones. The bar you build on top, from your own traffic, is what compounds as your own asset.
Measure your work, not a leaderboard
Public benchmarks tell you how a model performs in the abstract. We measure how your AI performs on the tasks you actually run.
Cheaper, with proof
Cost cuts only count when quality is measured and held. Every routing decision is backed by your own benchmark, not a guess.
AgentModus is early and founder-led. We work closely with our first customers - direct access to the team, and real influence over where this goes.