ML monitoring · for teams without ML engineers

Train a model once.
We watch it forever.

You don't have time to babysit your data every week. We do. Get a clear, plain-English alert the moment your model accuracy slips, your inputs drift, or a customer cohort starts behaving differently.

Plays well with Slack, email, and your existing model artifacts.

Three lines between you and a quiet weekend.

Most ML monitoring tools assume you have a platform team. This one assumes you have a job.

Drift detection that explains itself

Not a chart of a number going up. A sentence: "Your churn model's tenure feature shifted last Tuesday — average dropped from 11.2 to 7.4 months."

−34%
avg tenure WoW

Cohort attribution

When a metric moves, we tell you who moved it. By segment, by plan, by region.

Alerts that go where you live

Slack, email, or a single inbox in-app. Severity bands. No false-positive noise.

Weekly digest, on autopilot

Every Monday: model health, top movers, and a one-paragraph plain-English summary of the week. Forward it to your CEO.

Get the first 50 invites

Bring an existing model (any framework — pickle, joblib, or our training pipeline). We'll wire up monitoring and send you the first digest next Monday.