Cora is an AI‑powered fitness platform that consolidates data from wearables such as Apple Watch, Whoop, Garmin, Fitbit, and Oura to deliver personalized coaching on training, recovery, and nutrition.
Funding
Funding not disclosed
Founders
Product
Problem
Many fitness enthusiasts rely on multiple disconnected apps to track workouts, nutrition, sleep, and recovery, leading to fragmented data and generic advice that doesn’t reflect their individual readiness.
Solution
Cora is an AI‑powered fitness coach that unifies training, recovery, and nutrition into a single iOS app. By syncing with wearables such as Apple Watch, Whoop, Garmin, Fitbit, and Oura, Cora aggregates heart rate, HRV, sleep, and strain data to generate a daily Body Charge readiness score. The platform then adapts workout intensity, volume, and exercise selection, provides nutrition targets, and delivers personalized daily insights. Users can choose from goal‑aligned training templates, log meals with fast Apple‑Notes‑style entries, and monitor weekly intensity and consistency through visual dashboards, enabling data‑driven adjustments without juggling separate tools.
Target Audience
Primary users are active individuals and athletes who want an integrated, data‑driven coaching experience on their smartphone and wearable, as well as fitness‑focused coaches and health platforms seeking AI‑enhanced client support.
Features
- Real‑time integration with major wearables to pull sleep, HRV, heart rate, and strain metrics into a single Body Charge readiness score
- AI‑generated workout programs that automatically adjust intensity, volume, and exercise selection based on daily recovery data
- Personalized nutrition guidance with macro and calorie targets, plus AI‑assisted quick food logging
- Daily actionable insights that combine training, recovery, and nutrition trends to recommend what to do, rest, or eat
- Weekly visualizations of intensity, consistency, and progress across all three pillars
- Support for multiple sports (running, CrossFit, triathlon, lifting, cycling) with sport‑specific templates