We don't sell AI. We don't run pilots that go nowhere. We integrate practical, narrowly-scoped, measurable AI into the ledgers, ticket queues, document stores and approval chains you already depend on.
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typical document workflow
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7 systems written
A model that answers questions in a sandbox is a demo. A model that reads from your Salesforce, writes to your SAP, respects your role-based access, fails over to a human when it should — that is an integration. We do the second thing. Not the first.
Invoices, contracts, RFPs, KYC packets, technical drawings. Extracted, validated, posted to the system of record — with confidence scores you can govern by.
Helpdesk and CRM-embedded assistants that draft replies in your voice, grounded in your knowledge base, with mandatory citation and clean escalation to humans.
One assistant for the whole company — wired to SSO, your HR portal, your wiki, your code, your design files, your meeting transcripts. Permissioned, audited, yours.
Agents that read messages, decide what they are, where they should go, who should sign — and book the human in the loop when the rules say so.
Local 7–70B models behind your firewall, on hardware you own, with no data leaving the perimeter. For finance, defence, healthcare and "no, really, no cloud".
The non-glamorous half: golden test sets, regression evals, online traffic shadow, cost dashboards, hallucination detection, drift alarms. Built before launch, not after.
For tasks where reasoning, code or open-ended writing genuinely matter. We route, cap, and meter — and we never let a tenant's data leave its region.
7B → 70B weights, deployed on hardware you control, on your network, with no external dependency. Fine-tuned where there's signal worth the cost.
The unsexy 80%: a small, well-trained classifier is almost always the right call before you reach for a 70B model. We prefer cheap correctness to expensive theatre.
We will tell you, on the first call, whether AI is the right tool for it. Sometimes the answer is no — a Python script, a better form, or 30 minutes with your data team is the honest answer. We will say so.