LLM copilots & agents
Assistants that answer from your data, draft documents, triage tickets and execute multi-step workflows with tool use — with guardrails and audit logs.
AI-enabled solutions
AI that survives contact with production.
Copilots, document intelligence, forecasting and vision — engineered with evaluation sets, guardrails and cost controls, then integrated into the systems you already run.
Document intelligence
Extract, classify and validate data from contracts, invoices, claims and forms. Human review where confidence is low, straight-through processing where it is high.
Forecasting & optimization
Demand, churn, maintenance and pricing models with explainable drivers, plus optimization engines for routing, scheduling and allocation.
Computer vision
Defect detection, safety monitoring, OCR and visual search on the edge or in the cloud — built for the messy lighting of real factories and warehouses.
AI integration into existing software
Wire AI into your ERP, CRM, EHR or legacy .NET/Java systems through clean APIs instead of rebuilding the platform.
AI governance & evaluation
Evaluation sets, red-teaming, PII handling, cost dashboards and model-change management so your AI features stay accurate after launch.
Our AI delivery method
Evals before prompts. Guardrails before launch.
Anyone can build an impressive demo in an afternoon. Getting to 95%+ accuracy on your real, ugly data — and keeping it there when the model vendor ships an update — is engineering.
- Week 1 — Define success. Golden evaluation set from your real cases, target accuracy, latency and cost per task.
- Weeks 2–4 — Iterate against the evals. Retrieval strategy, prompt architecture, structured outputs, model selection — measured, not guessed.
- Week 5 — Harden. PII redaction, injection defenses, rate limits, fallbacks, human-in-the-loop routing, full logging.
- Week 6 — Decide with data. A go/no-go report with measured accuracy, cost projections and an integration plan.
AI case studies
Shipped, measured, still running.
AI dispatch engine for a 400-truck regional carrier
Replaced spreadsheet dispatching with an ML-ranked assignment engine and driver mobile app. Integrated with the existing TMS instead of replacing it.
38%more loads per dispatcher
11 wksto first production release
Demand forecasting for a 120-store chain
Weekly SKU-level forecasts with explainable drivers, feeding replenishment. Ran shadow-mode for 8 weeks before the buyers trusted it — then they stopped overriding it.
-23%stock-outs
$2.1Mworking capital freed
Contract intelligence copilot for a mid-size firm
RAG over 200k documents with clause extraction, redline suggestions and citations back to source — reviewed by lawyers, not replaced.
70%faster first-pass review
99.2%citation accuracy in eval
FAQ
AI questions, answered plainly.
Which AI models and platforms do you work with?
OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI and open-weight models (Llama, Mistral) hosted privately when data residency requires it. We choose per use case based on evaluation results, cost and compliance, not brand loyalty.
How do you stop the AI from making things up?
Retrieval-augmented generation grounded in your documents, mandatory citations, structured outputs with validation, confidence thresholds that route low-confidence cases to humans, and an evaluation suite that runs on every prompt or model change.
Can our data stay private?
Yes. We can deploy in your Azure/AWS tenancy, use zero-retention API agreements, or run open-weight models fully on-premises. Data processing agreements are standard.
How long does an AI pilot take?
A scoped pilot with a real evaluation set typically takes four to six weeks and ends with measured accuracy, cost per task and a go/no-go recommendation — not a demo.
Do you use AI to build software, not just build AI software?
Yes. Our engineers work with AI coding agents inside a governed workflow — specs and architecture first, AI-accelerated implementation, automated tests and quality gates, senior human review on every merge. It is how we ship faster without lowering the bar.
Not sure AI is the answer? Ask us.
We say no to about a third of AI requests because plain software would do the job better and cheaper. A 45-minute call will tell you which one you have.