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Open Wearables

Open Wearables is an open-source, self-hosted platform that turns raw wearable data into transparent health scores and AI-driven recommendations. It provides a unified API for multiple device providers, with fully auditable scoring algorithms and an AI engine that detects patterns and generates coach-like insights. The platform is MIT-licensed and can be deployed on a company's own infrastructure.

Brooklyn, United States · HQ
31K+ followers
Updated 9 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Wearable devices from different manufacturers calculate health scores using proprietary, undisclosed algorithms, making it impossible for developers to compare or audit results across devices. This lack of transparency creates vendor lock-in, prevents customization, and forces product teams to rely on black-box scoring that may not align with their specific use case or compliance requirements.

Solution

Open Wearables provides an open-source, self-hosted platform that ingests raw wearable data and computes health scores using transparent, auditable algorithms. The platform includes a Health AI Engine that detects patterns, connects scores across metrics, and generates recommendations similar to what a human coach would provide. It offers a unified API for multiple wearable providers, with OAuth flows, webhooks, and a self-hosted deployment model that keeps data on the customer's own infrastructure. All scoring logic is published under an MIT license, allowing teams to read, fork, and customize the algorithms to fit their specific needs.

Target Audience

Primary customers are health and wellness product teams, digital health startups, and enterprises building wearable-powered applications who need transparent, customizable health scoring without per-user fees or vendor lock-in.

Features

  • Open-source health scoring engine with documented algorithms for Sleep Score (0-100) and Resilience Score (0-100) based on sleep stages, consistency, and heart rate variability
  • Health AI Engine that detects trends, anomalies, baselines, cross-score correlations, and recurring patterns to produce actionable recommendations
  • Unified wearable data API supporting Garmin, Whoop, Oura, Fitbit, Apple Health, Polar, Suunto, Samsung Health, Google Health Connect, and Ultrahuman
  • Self-hosted deployment with full source code access under MIT license, enabling HIPAA-ready compliance and regional data residency
  • OAuth-based provider connections with a single integration flow and real-time webhooks for event-driven updates
  • Customizable scoring thresholds and logic, allowing teams to adjust algorithms for wellness vs. clinical applications
This profile is AI-generated and may contain inaccuracies.