Sahha
Sahha · AI Assistant
Sahha is a health data API that pulls signals from phones and 800+ wearables, then returns biomarkers, scores, and insights your app can act on.
About Sahha
What Is Sahha
Sahha is a real-time wearable data platform and health data API built for product teams, not researchers. It collects signals from a user's phone and their connected devices, reconciles them into one stream, and hands back biomarkers, scores, archetypes, and insights through a single API. The pitch is simple: your app gets health intelligence without maintaining a pile of device integrations.
The problem it solves is fragmentation. Health data lands in different places, from Apple Health and Health Connect to Garmin, Oura, and WHOOP, and each source speaks its own format. Sahha normalizes all of it, deduplicates overlapping records, and fills gaps so a score has a baseline on day one. That matters because most health features stall while waiting weeks for enough data to personalize anything.
One limit is worth flagging up front. Sahha is infrastructure, not a consumer app. There's no end-user interface to download, and nothing works until a developer wires the SDK or API into their own product. Teams that want a ready-made wellness app should look elsewhere.
Getting Started
- Create a Sahha account and start in the sandbox, which covers 25 development users with every product unlocked.
- Install the mobile SDK for iOS or Android, or connect a partner cloud like Garmin, Oura, WHOOP, or Dexcom without a mobile app.
- Assign each end user an external ID, since Sahha stores data against your ID rather than personal identifiers.
- Query the API or set up webhooks to pull biomarkers, scores, and insights into your product.
- Move to a production plan when you're ready to serve real users beyond the sandbox.
Product Information
A quick look at Sahha's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- App developers building health features
- Digital health and wellness startups
- Product teams without wearable reach
- Teams in regulated markets
Tasks
- Personalizing recommendations
- Tracking sleep and recovery
- Segmenting users by behavior
- Monitoring mental wellbeing trends
- Enriching a profile silently
Scenarios
- Launching a wellness feature on a deadline
- Supporting mixed device users
- Building for a market where few own wearables
Key features
One API across 800+ devices and 165 integrations
Sahha connects to Apple Health, Health Connect, Garmin, Fitbit, Oura, WHOOP, Samsung Health, and more, then standardizes everything into a single data model. Developers write one integration and reach devices they'd otherwise handle one by one. The pay-off is maintenance: teams stop chasing device APIs that change under them, since Sahha keeps the connections current.
500+ standardized signals
The platform returns over 100 biomarkers across activity, body, engagement, nutrition, sleep, and vitals, plus 75+ tags, 5 scores, 100+ archetypes, and 100+ insights. All of it updates in real time, whatever device produced it. For a product team, that breadth means most of the health metrics users expect are already covered, and new signals arrive each quarter.
Five built-in scores
Sahha ships scores for activity, sleep, readiness, wellbeing, and mental wellbeing, each built on established research and confirmed against its own data. A score gives a raw data stream a headline number, which is what most consumer health features actually display. The mental wellbeing score stands out, since it turns behavior into a signal about how a user is doing emotionally.
Phone as a passive sensor
Even without a wearable, Sahha reads sleep, activity, and behavior from the smartphone itself. That expands the addressable audience dramatically, because smartphone reach runs from 82% to 97% in surveyed markets while wearables sit between 13% and 46%. Teams build for everyone instead of only the people who already own a device.
Reconciliation and gap filling
When a phone and a watch both log the same 8,000 steps, Sahha deduplicates and normalizes them into one stream per user without manual rules. It also estimates what a user didn't directly track, such as distance from step patterns, so a gap in tracking doesn't become a gap in data. Fewer holes mean fewer broken scores and fewer confused users.
Day-one baselines with 30-day backfill
A score normally needs weeks of data before it means anything. Sahha backfills up to 30 days of history the moment a user connects, so personalization works from the very first session. That removes the cold-start wait that makes new health features feel empty for the first weeks after launch.
Privacy by design and compliance
Sahha keeps the identity with you and the data with them: you supply an external ID, and no names, emails, or phone numbers are required. It's SOC 2 Type II audited, HIPAA and GDPR compliant, with a BAA available on request and a published DPA. For teams in health, that paperwork is often the difference between shipping and stalling.
Pros and cons
Pros
- One API replaces a stack of device integrations, so teams ship health features in days instead of building connectors for months.
- 500+ standardized signals and five scores cover most consumer health metrics out of the box.
- Phone-only support opens the product to users who don't own a wearable.
- 30-day backfill removes the warmup wait, so personalization works from the first session.
- Compliance coverage (SOC 2 Type II, HIPAA, GDPR) eases review in regulated health markets.
Cons
- It's developer infrastructure with no user-facing app, so nothing works without engineering time to integrate it.
- Production pricing starts at $299 a month billed annually, which is steep for a small project testing an idea.
- Scores depend on data quality, so users who rarely carry a phone or charge a wearable may get weak signals.
- The platform is broad but general, so a team with one narrow need may find a focused point solution cheaper.
Frequently asked questions
Sahha is a health data platform and API for product teams. It collects signals from a user's phone and connected devices, reconciles them into one stream, and returns biomarkers, scores, archetypes, and insights your app can use. It's infrastructure rather than a consumer app.
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