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Mobile App & AI Development

Expert knowledge, productised.

One sleep consultant's methods, turned into an iOS app parents paid for.

Paying users

live on the App Store, demand validated

3am covered

expert guidance at the hours no consultant works

1 → many

one expert's judgement, scaled by AI

Otti app screenshot

The problem

A pediatric sleep consultant with a full client load and a waiting list. Every parent who needed help needed her time directly. The expertise was there; the hours weren't.

The goal was never to replace her. It was to carry her methods, her tone, and her judgement to parents who couldn't get to her.

What we built

iOS app, shipped to the App Store

Designed, built, and released. Production-ready, not a prototype.

A custom AI sleep consultant

Built by observing real consultations first, then trained on her methods, advice structures, and tone. Not a generic chatbot.

Personalised guidance

Recommendations that adapt to the baby's age, feeding routine, and live local weather.

Designed for 3am

Journaling, expert resources, and a parent community built for exhausted parents mid-crisis, not tech enthusiasts.

Otti: two otters illustrated as parent and child, the mascot of the app

Where it is now

Released on the App Store with a paying user base. Proof that specialist expertise can scale responsibly through a well-designed AI system. The app was later retired following the co-founder's exit from the project.

Ask: Otti's AI sleep coach answering a parent's question about bedtime clothing
Sleep: Otti's personalised evening home screen for parents
Learn: Expert sleep consultant resources and video guides inside the Otti app

The goal was always to augment expert knowledge, not replace it. That distinction shaped every decision, from how the AI was trained to how the app was written.

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Team commentary

iOS appReact NativeAI / LangChainGeminiSupabaseGoogle CloudRevenueCat

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