How UAre uses smartphone-based health checks to deliver insights to every user

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UAre is built around a simple idea: help people live longer, healthier lives by combining behavioral insight, performance analytics, and predictive modelling. The platform supports individuals directly and gives organizations a population-level view of wellbeing trends, helping them spot risks early, tailor interventions, and build healthier teams.

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UAre already aggregated data from major consumer wearables such as Apple, Android, Garmin, WHOOP, Oura and others, layering this with behavioral inputs from the app and their own functional performance modelling. But wearables only tell the story for users who already prioritize health tracking. A large segment – often those at higher risk – either don’t own a wearable, rarely use one, or aren’t sure how to interpret the data they collect. This created a blind spot.

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“We could get great behavioral data on anyone with a phone, but we could only get key health vitals on a smaller group of users. We were missing essential data from many of the people who actually need the most help.”
- Grant Ellison, Co-founder of UAre

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To close this gap, UAre needed a universal, low-friction, device-free way to capture reliable vital signs – something that could work instantly for every user, without onboarding or new hardware.

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Why Shen AI

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After evaluating several options, UAre selected Shen AI for its combination of technical depth and simplicity. Shen AI’s rPPG + rBCG engine captures meaningful vitals from a short face scan, turning any smartphone camera into a health insight tool. This made advanced biometrics accessible not just to wearable owners, but to every user on the platform.

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Equally important was the user experience. Unlike solutions requiring multi-step workflows, sensors or full-body scans, Shen AI delivered a single, fast, emotionally engaging moment that blended seamlessly into UAre’s app flow. The technical team also appreciated the clear documentation, responsive support and balanced, responsible approach to interpreting results — all of which aligned with UAre’s philosophy of building trust through practical, actionable insight.

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Simple implementation

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Because UAre’s team regularly integrates data from multiple wearables and analytics tools, Shen AI fit naturally into their existing architecture. The setup was clean and efficient: documentation was clear, support was quick, and the feature required no complex customization. For the development team, it felt like adding a well-designed new data source rather than restructuring the platform.

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User response

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Users responded immediately and positively to the face scan. Its simplicity and instant feedback create a compelling moment that draws people in – a small interaction that deepens their connection to the broader wellbeing journey. Instead of feeling like a medical test, it feels intuitive and even enjoyable, which encourages users to return.

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The face scan feature also reaches an audience UAre could never fully support before: people without wearables, or those who rarely track their health. These users often stand to benefit most from early awareness and personalized guidance, making device-free vitals a meaningful extension of UAre’s mission.

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Vitals for everyone

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Device-free vitals give every user – not only the tech-forward ones – access to meaningful health insights. This fills a critical data gap and allows UAre to build a more complete, population-level picture of wellbeing across their entire platform.

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For employers and insurers, this means aggregated insights no longer rely solely on data from the most engaged or health-conscious employees. Instead, UAre can provide a more representative view of a team’s wellbeing and identify patterns that may suggest elevated cardiovascular or stress-related strain. With multiple data modalities in one system – behavioral inputs, wearable data, user reports and camera-based vitals – UAre can offer one of the most comprehensive datasets in the wellbeing space.

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“We are uniquely positioned to provide a very powerful data set by combining face-scan data, wearable data and user inputs.”
- Grant Ellison

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Repeated scans also help identify trends over time, allowing the platform to nudge users toward reflection, healthier habits or, when necessary, medical follow-up – always staying within UAre’s careful, conservative approach to interpreting individual readings.

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Looking ahead: Universal access to health data

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UAre sees Shen AI as a long-term component of its wellbeing ecosystem. As remote monitoring science evolves and additional markers receive clinical validation, UAre plans to extend how vitals support personalized guidance, longevity modelling and organizational wellbeing reports. Early-risk education is especially promising, helping users understand how daily actions influence long-term health – with no hardware, no barriers and no added steps.

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Ultimately, UAre’s goal is to make high-quality health insight available to every person with a smartphone, not just those who invest in wearables. Shen AI helps make that vision possible by transforming a simple face scan into meaningful health awareness.