Document intelligence
Dense policies, contracts, and regulatory text turned into structured, queryable, citation-backed answers.
AI that survives contact with production.
Custom AI systems built inside your operation — automation, decision support, and intelligent workflows with verification and human accountability designed in from the first commit.
01 What we deliver
Custom AI & intelligent automation, in full.
Our flagship practice: production LLM systems engineered for operations where the cost of a wrong answer is real.
- Custom LLM systemsDecision support and workflow automation built for your operation — model- and vendor-agnostic across Amazon Bedrock, Azure OpenAI, Google Vertex, and Anthropic.
- Straight-through processingHigh-volume work handled end to end, with exceptions routed to named reviewers carrying the evidence they need to decide fast.
- Human-in-the-loop by architectureRAG grounded in citations, confidence thresholds, and sign-off gates on consequential output — accountability designed into the data flow.
- Enterprise integrationWired into the platforms you already run, under your identity provider and security policies — see our integration practice.
- Evaluation & monitoringAn accuracy harness on your real data before go-live, and production monitoring after — drift caught by dashboards, not complaints.
02 How it runs
Scoped. Built. Handed over.
Every engagement runs under a master agreement with scoped statements of work — and closes with documentation and knowledge transfer your team owns.
01 · Prove
Test on your data
The candidate workflow evaluated against production-shaped data with explicit accuracy thresholds — before the build is scoped.
02 · Ship
Land the first increment
A working increment live in production inside 30 days — the standing target — integrated, verified, and measured.
03 · Expand
Grow workflow by workflow
Coverage extended in shippable phases, each with its own success criteria — and a documented handover at every step.
Founder-led delivery
Scoped SOW per phase
NDA / BAA / DPA as required
Documented handover
03 The standard
If it doesn't operate in production, it isn't AI — it's a demo.
The distance between a demo and a dependable system is integration, verification, and governance. That distance is exactly what we build — it's why our AI work starts and ends inside your production environment.
04 Related services
Often paired with.
AI governance & assurance
The controls that make AI safe to run in a regulated operation.
Systems & data integration
The connective tissue of your operation.
Ship AI that holds up in production.
Bring the workflow that costs your team the most. We'll tell you what a production-grade system looks like — and prove it on your data first.