Catch silent model changes before your customers do.
We baseline your agent's behavior. When the provider ships a change, the heatmap lights up with the diff, the regions, and the prompts affected.
User-side validation isn't theory.We've been running it.
Agents continuously monitored across the global network.
User-side validations run from real residential devices.
Countries covered on real home ISPs.
The failure modes your current stack misses
OpenAI pushed an update. You did not.
Your LangChain pipeline did not change. Your answers did. You find out from churn.
Drift looks like a deploy in your logs.
Without baseline and attribution, drift and deploy events look identical.
Your evals passed yesterday and today. Behavior still drifted.
Eval suites measure the prompts you wrote. Drift is in the prompts you didn't.
Behavioral baseline
Rolling 7-day median of your agent's behavior.
Quality, latency, tone, escalation cadence. We measure the dimensions your evals miss.
- Rolling baseline
- Multi-dimensional
- Per agent, per region
Attribution
Was it the provider, your deploy, or noise?
Drift events tag provider-side, customer-side, or unattributable. Engineering knows where to look.
- Provider, deploy, noise tags
- Linked to deploy events
- False positive feedback loop
Diff alerts
Old answer, new answer, side by side.
Every drift alert ships with the actual answer change. Replay either version on demand.
- Old vs new diff
- Per-prompt detail
- Replayable
From first validation to signed report in two weeks
Connect
Point Agent Status at the user-facing surface of your agent. No SDK, no instrumentation. Average setup is under five minutes.
Watch
Live verdicts stream in from every region you serve. Drift and latency alerts route to PagerDuty or Slack, with a signed report on every run.
Frequently asked
| Question | Answer |
|---|---|
| How fast do you catch drift? | Within the hour for most provider-side updates. Configurable per agent. |
| Does this work for custom fine-tunes? | Yes. Baselines work on whatever you point us at, including private and on-prem deployments. |
| What if our agent is intentionally non-deterministic? | Quality Score uses distributions, not single-run checks. Stable agents stabilize fast. |
| Can we baseline against a specific release? | Yes. Baselines can be pinned to a release or set to rolling. |