AI that holds up in production
Most AI demos work. Fewer survive real users, real data and a real budget. We build AI features the way we build the rest of a product: scoped against a business outcome, tested against real inputs, and monitored once they are live.
What we build
- LLM applications: assistants, copilots and search over your own documents, using retrieval so answers come from your content.
- Chatbots and AI agents: customer support, internal helpdesks and agents that take actions in your systems, with guardrails and hand-off to a person.
- Computer vision: detection, classification and video analytics on images and camera feeds.
- Machine learning models: prediction, recommendation and classification trained on your data.
- AI integration: adding AI to an existing web or mobile product through APIs, without a rebuild.
What you get
- An early, honest view of what AI can and cannot do for your use case, and what it will cost to run.
- Evaluation sets that measure quality before launch, not just a demo that looks right.
- Controls for privacy, cost and failure: what happens when the model is wrong or unavailable.
- Monitoring after launch, so changes in quality or cost are caught early.
Who this is for
Businesses that want AI to do a specific job — answer customers, read documents, inspect images, forecast demand — rather than a feature added for its own sake.
How a project runs
You see working software early and often. Nothing is saved for a big reveal.
Discover
We map what the product has to achieve, who it is for, and what success looks like before anyone writes code.
Design
Flows and interfaces agreed with you up front, so the build has no guesswork in it.
Build
Delivered in increments you can see and comment on, tested as we go.
Launch & support
Deployment, monitoring and the ongoing changes that keep a product useful.
Common questions about AI & Generative AI Development
How do you keep AI answers accurate?
Will our data be used to train public AI models?
What does it cost to run an AI feature?
Let's talk about what you want to build
Tell us what it is. Someone who can actually answer will reply, usually within a working day.