On-prem AI workers behind every regulated decision.
Sweat does the work. You make the call. The worker assembles the case, applies your written policy through a deterministic rules engine, and hands your reviewer one recommended action — with citations and a full audit trail.
How it works
Watch one AML case move through the worker — assembled, checked against your written policy, and recommended — then released by a person.
Where it runs
Sweat deploys the worker inside your environment where that's the requirement. A US checkout network runs a model we deployed and tuned on their own hardware today. For the review product we run single-tenant now, with in-environment deployment on the roadmap — and we tell you exactly what runs where before you sign anything. A Gulf-region digital bank won't move their data off-site, so we brought the worker to them.
Every deployment opens with a shadow run
Before a single live case, the worker runs your historical cases and publishes how often it agreed with your experts — on your data, your policy.
You see the numbers before you trust it. Autonomy is earned one decision-type at a time, and it steps back down to human review if outcomes slip.
(review)
autonomy
Built for the examiner, not just the demo
Every decision the worker touches lands on the record. Pull any case, from any date, and replay it exactly as it ran — the evidence, the policy version and the rule that fired, the citations, the recommended action, and the human who released it.
The explainable, independently validated, fully documented posture your model-risk (SR 11-7) and BSA/AML reviews ask for.
Where Sweat sits
Detection tools flag the case. Case-management tools file it. Sweat does the work in between — it assembles the evidence, applies your policy, and hands your reviewer one recommended action to release.
Objections, answered
See a worker run on one of your cases
Book a demo and we'll show you a live review of one case — evidence, policy, recommendation, release — and scope a shadow run over your historical files.
We reply within one business day. We use your details only to schedule the demo — never to train models, and nothing from your environment touches this form.