Intake
Tell us the field, the workflow, the reviewers, and the step you want standardized.
→Pick one operational workflow your team already runs. We scope it, run it as an AI app on your data in your tenant, and hand back a signed record and tuned weights you keep. First batch in weeks, not quarters.
The step nobody fully trusts — the one your team already runs today.
Reviewed cases, a signed record, and tuned weights that stay yours.
A first batch reviewed and signed in weeks. Then you decide: expand or stop.
One workflow in. A standardized review step on your data, in your tenant. A signed record out — every case carrying who created it and who reviewed it — and a decision to expand or stop.
Tell us the field, the workflow, the reviewers, and the step you want standardized.
→We stand the workflow up on your data, in your tenant, with your experts in the loop.
→A reviewed first batch, a signed record of who did and reviewed the work, and tuned weights you keep.
The supply changed. The regulation has a date. A pilot is how you prove a defensible, customer-owned alternative before either one forces your hand.
Your largest data source was absorbed by one of the labs it served. A pilot proves a neutral, audit-ready supplier on your own work.
A competitor lost four terabytes — including who its workers were. Your pilot runs in your tenant, never pooled, every contributor identity-verified.
78% of orgs can't validate their training data and 77% can't trace its origin. The clock starts August 2026. A pilot attaches provenance to the data itself.
Tell us which field, which workflow, and the step that needs to be standardized. Within one business day we reply with a scoped pilot: the deliverable defined, the price band set, and the terms to expand or stop. Not a generic sales call.
Signed means an identity-verified chain of consent attached to every case — who created it, who reviewed it, under what rights — run in your tenant, never pooled, and built to survive an EU AI Act audit. A robotics pilot, for reference, is $25K–$100K for 100–500 reviewed episodes.
Pick one workflow you already run. We standardize the step on your data, sign the reviewed record, and hand you tuned weights you keep. Same loop the other way: bring an expert human-data queue instead.