AI as part of the product.
Your users expect the product to understand them. We build AI features that do real work in your interface – from chat and search to agents that carry out tasks for the user.
A chat box is easy to add. The hard part is getting the AI to do something useful in the product: fetch the right data, call the right functions, respect the user’s permissions – and keep working when the models change.
That is where we work. We build chat, tool calling and extensions that are a real part of the product, with tests and evaluation that show the answers hold up, and with cost and latency under control.
We pick the framework to fit your environment, not the other way round: Microsoft Agent Framework and Azure AI Foundry, Google ADK and Vertex AI, or LangChain – in TypeScript, Python or C#.
What you get
AI features in production – chat, search, summarisation and agents that call your APIs.
Tool calling and extensions that let the AI act in the product, with the right permissions.
Evaluation, observability and cost control, so quality can be tracked over time.
An architecture your team can maintain and build on.
How it works
-
Use cases
We find the features where AI makes the biggest difference for your users – and where it does not.
-
Prototype
A working prototype on real data, so the value shows early.
-
Production
Security, evaluation, monitoring and cost control are built in before launch.
-
Evolution
We keep building with your team – or hand over completely.
Let's talk about your situation.
A first conversation is free and without obligation.
Contact us