AI integration
Language-model features that hold up in production: retrieval over your documents, assistants with guardrails, and agents with clear limits. Every feature ships with an evaluation set, cost controls, and PIPEDA-aware data handling.
Questions clients ask
Which models do you use?
Whichever passes your evaluation set at the lowest cost. We build against Claude by default and keep the provider behind an interface so it can change.
Where does our data go?
We map every data flow in discovery. Sensitive fields are redacted before any model call, and Canadian-region hosting is available for the application and the vector store.
How do we know it works?
Every feature has a written evaluation set that runs in CI. You see the pass rate before launch and after every change.
Concept studies
Other services
Product design
Research, UX, UI and design systems, tested with real users before anything is built.
02Web platforms
Customer-facing apps, internal tools and APIs on a TypeScript stack, with CI and monitoring from week one.
03Mobile apps
iOS and Android from one React Native codebase, through store review and release trains.
05Embedded teams
Senior engineers and designers who join your roadmap, your standups and your repo.
Need AI integration?
Write a short brief and we reply within one business day with a first take.