Pilot in weeks. Production, not a demo.
Most AI work dies between the notebook and the deploy. We start where the value is provable, then harden the same thing we prototyped. No rewrite, no handover theatre.
Scope a two-week pilot →Frame the decision
A week with your operators to find where a model or agent removes real work, and where it absolutely should not be used.
Build the thin slice
One working path end to end on your data, with the eval set written before the first prompt.
Harden and ship
Auth, tenancy, rate limits, tracing, rollback. All as code, in your AWS account, not ours.
Run it or hand it over
We operate it on an SLA, or we train your team and leave documentation they would actually read.
Eight practices, one accountable team
Where our domain context already exists
Fintech
Reconciliation agents, KYC document pipelines, risk narratives an auditor can follow.
→Healthcare
Clinical documentation support, intake triage, consent-aware data handling.
→Logistics & Supply Chain
Exception handling across carriers, document extraction, dispatch copilots.
→Retail & E-commerce
Catalogue enrichment, support agents with order-level context, demand signals.
→Four more
Media & news, hospitality & travel, real estate, manufacturing.
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