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We help companies find real use-cases for AI and ship them into production. Agentic workflows, document extraction pipelines, retrieval over your own data, evaluation harnesses you can defend. No demo videos. Real systems your team operates.
Start a projectAnyone can stand up a Claude API call. Almost no one ships AI that holds up under real traffic, real data, and real people. That last 80% is where the work is: evaluation harnesses, drift monitoring, fall-back behaviour, cost ceilings, PII handling, audit trails. We've shipped that 80% across a dozen sectors — and we'd rather hand you the playbook than sell you a perpetual support contract.
Triage 4,000 weekly support tickets into seven categories with auto-routing.
Read inbound RFP PDFs, extract key dates & commitments, draft a response.
Run a retrieval agent over five years of board minutes for governance review.
Match free-text invoice line items to a 12,000-row product catalogue.
A two-week audit of your workflows, data, and tools — surfacing the highest-ROI places where AI moves the needle (and the places it won't).
Multi-step agents that plan, execute, and self-correct. Tool-calling, MCP-aware, with human-in-the-loop checkpoints where stakes are high.
OCR + LLM pipelines that pull structured data from invoices, contracts, RFPs, and forms — at production volumes, with confidence scoring.
RAG done well — chunking that respects your document structure, hybrid search, citation-grade outputs your legal team will sign off on.
Eval harnesses that catch regressions before they ship. Cost ceilings, prompt-injection defences, fallback behaviour you can explain.
We integrate into your existing stack and stay long enough to teach your team to operate it. Not a Jupyter notebook. Not a perpetual dependency.
We don't ship "AI features" because the marketing team wants a checkbox. We don't build chatbots that just summarise a website. We don't take on projects where the data is garbage and "AI will fix it" — that's still a data project with extra steps.
We do build systems where AI replaces or accelerates a process you can describe in concrete terms, with success criteria you can measure.
Frontier closed models for the heavy lifting (Claude, GPT, Gemini), open-weights for cost-sensitive paths (Llama, Qwen, the latest Mistrals), small specialist models for narrow tasks. We pick what fits, not what's hyped.
Hosting on Azure OpenAI, Anthropic API direct, Bedrock, or self-hosted on your infrastructure. Whatever the data residency story demands.