Useful, not gimmicky
Pragmatic AI Features
We design and build AI-powered features tied to real workflows: search, summarisation, assistants, and automation.
Internal product mock
Made with our design system
Who it's for
- Products sitting on valuable but underused data
- Teams under pressure to “add AI” in a sensible way
- Founders who want impact without a full ML team
How we usually start
We do a short intro call, skim any existing docs or prototypes, then come back with a simple, fixed-scope proposal.
Simple, three-step flow
1
Spot opportunities
Walk through flows and identify where AI would help most.
2
Prototype
Test UX, prompts, and guardrails quickly with real data.
3
Ship
Integrate with your stack and measure usage and outcomes.
Quick clarifications.
A couple of short answers to things founders usually ask us about this track.
Each track is usually a fixed-scope, fixed-price project. After a short intro call, we share a simple one-page proposal with ranges and timing.
Next step
Tell us what you're building.
Two or three paragraphs is plenty. We’ll reply with a suggested track, rough ranges, and timing.
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