A ChatGPT demo takes a weekend. AI that runs inside your business — accurately, securely, at scale — takes engineering. We design and build production AI systems: agents, copilots, RAG and automation grounded in your data.
Security, privacy and guardrails built in.
Answers backed by your own sources.
Evals prove it works before it ships.
Claude, GPT, Gemini — the models are commodities. The value is in the system around them: your data, your workflows, your guardrails. That's what we build, backed by two decades of shipping production software for New Zealand businesses.
We find where AI actually pays off in your business — and kill the ideas that won't — before you spend real money.
Assistants that do real work — triage, drafting, research, data entry — with human oversight where it matters.
Retrieval over your documents and data, so answers are accurate, current and cited — not hallucinated.
PDFs, emails and forms turned into structured data flowing through your systems — the engine behind our LangParse platform.
Accuracy benchmarks, safety rails, monitoring and cost control — so quality is measured, not assumed.
Built on Claude, GPT and open models — on AWS Bedrock or your cloud of choice — and integrated with the systems you already run.
Agents that plan, use tools and complete multi-step work across your systems — with audit trails and human handoff.
In-app assistants and internal chatbots that know your product, your policies and your customers.
Ask questions across every document, wiki and database you own — and get cited, current answers.
Invoices, contracts, emails and scans parsed into clean, validated, structured data at scale.
AI features embedded in your existing web, mobile and back-office systems — not another silo.
Test suites for AI behaviour — accuracy, safety, tone and cost — run on every change, just like CI.
Small, proven steps — each one shipping something you can see, measure and use.
A focused workshop to find the use cases worth building, the data they need and the ROI that justifies them.
A working proof on your real data in weeks — so you validate the value before committing to the build.
Security, integration, evals and guardrails turn the prototype into software your business can rely on.
We monitor accuracy, cost and drift in production — and keep improving as the models and your business change.