We only send what the feature needs, choose provider settings that keep your data out of model training, and keep keys and logs under your control.

AI features

AI features and assistants for your product

Q: Which AI models do you use?

The one that fits the job and your budget, from the major providers. We design the feature so the model can be swapped later.

Q: Can you add AI to an existing product?

Yes. Most AI work is a feature inside a product that already exists.

AI that does a real job for your users, built into the product.

We design and build AI features that solve a specific problem: assistants, search, categorisation and automation. For PayIQ we built Ibra, an assistant that categorises spending and flags problems before they happen.

Book an intro call Tell us what you’re building

Sound familiar?

Investors and customers expect AI, but a chatbot bolted on adds little
You have the data but not the team to turn it into a feature
Demos work, but answers in production are slow or unreliable

What you get

A clear job for the AI feature, agreed before we build
Design for AI: how answers appear, when to ask, how to correct
The integration with your data and the model provider
Guardrails, logging and costs you can see

How we work.

01Week 1
Scope it together
A short call, then a workshop to agree the users, the core flows and what the first release must do. You get a fixed quote and a plan before we start.
02
Prototype
A working prototype on your real data, so you can judge the answers before committing.
03
Build into the product
The feature inside your app, with the interface, data pipeline and guardrails around it.
04
Measure and improve
We track quality and cost after launch and improve the prompts and data.