AI safety classifier
Scores restaurants on cross-contamination risk using multi-signal inputs, menu data, staff-training markers, and kitchen-layout indicators.
Case Study · CONSUMER HEALTH · UK
Gluf: AI for the gluten-free community
Award-shortlisted trust-first restaurant discovery.
The story
What Gluf needed, and what we built.
77% of coeliacs report accidental gluten exposure when eating out. Nicola Gray, after deep field research with the coeliac community, wanted an app that rates restaurants on staff knowledge, labelling clarity, and cross-contamination safety, community-driven, trust-first. KUMO built the AI safety classifier and recommendation engine.
What we delivered
Six areas of production work.
Community feedback aggregation
Coeliac-community reviews structured into safety-relevant signals, not generic star ratings.
Location-aware discovery
Mobile app surfacing safe options nearby, filtered by sensitivity and confidence threshold.
Trust-first business model
No restaurant payment incentives, recommendations driven by safety signals, not paid placement.
Editorial + community hybrid
Curated editorial alongside community contributions, designed for the coeliac and gluten-sensitive audience.
Award-recognised execution
Shortlisted for Startup for Good 2026 and nominated for Women in Food and Drink 2026.
Highlights
Project highlights.
Stack
What it was built with.
- React Native →
- AI safety classifier
KUMO built and published the React Native front end; the back end was owned by the client.
Services
What else KUMO can build for you.
Custom Software Development
Web, mobile, and platform software, with AI built in.
→ Web & Mobile DevelopmentProduction web and mobile for teams ready to scale.
→ Product Design (UX/UI)UX research, product flows, and UI, built by the same team.
→ AI Product & PlatformProduction AI products and platforms, built to last.
→More work.
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Read the story ->Tell us what you're solving for.
We'll listen first, ask the right questions, and follow up with a clear proposal.