AI for fitness and wearables, that explains itself
OceanLab builds AI into fitness and health apps: joining wearable data into scores people understand and logging meals from a photo. The AI estimates and shows how sure it is; people correct and decide. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Latu - Wearable Data Dashboard for Endurance Athletes and Coaches
Designed and built a clickable athlete app for a Finnish sports-tech company that joins heart rate, HRV, sleep and training load from several wearables: a daily readiness score that explains itself, training load and fatigue charts, every workout in one list with duplicates merged, and sleep trends against the athlete's own normal range.
Quandong - Photo-First AI Nutrition Tracker with Safety Built In
Designed and built a clickable photo-first food diary for a Brisbane consumer health company: snap a meal, the AI finds each food and shows how sure it is, fix anything in two taps, and see kilojoules, macros, fibre and key micros against Australian reference values, with guidance tied to the Australian Dietary Guidelines.
Where AI earns its place
Each use case names the builds that did it.
Readiness scores
Heart rate, HRV, sleep and training load from several wearables joined into a daily readiness score that explains itself.
Training load
Training load and fatigue charts, with every workout in one list and duplicates from different devices merged.
Photo food logging
Snap a meal and the AI finds each food and shows how sure it is. Anything wrong is fixed in two taps.
Guidance against references
Energy, macros and key nutrients shown against national reference values, with guidance tied to official dietary guidelines.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Show the confidence
Stay on the wellness side
Health data is sensitive
Explain, do not judge
Frameworks our AI builds here cite
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for a fitness or wearables company?
Join data from several wearables into a readiness score that explains itself, chart training load and fatigue, and log meals from a photo with each food's confidence shown. Each of these is a product OceanLab built.
Can a fitness app become a medical device?
It can, if it is meant to diagnose, treat or prevent a condition. Keep wellness features general and check your own case with counsel before launch.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
