Industry — Health, Fitness & Wellness
Wearable data, health privacy, and a subscription that renews
We build fitness and wellness products for teams dealing with a dozen wearable APIs that each define a step differently, health data that carries real legal weight, coaches who need a workflow rather than a spreadsheet, and members whose phones have no signal in the squat rack.
Health, Fitness & Wellness
Retention is the product, health data is the risk
Signing people up is not the hard part; the fourth month is. And the data underneath all of it — heart rate, sleep, weight, injuries, sometimes a diagnosis — is among the most sensitive a consumer app can hold, where storage, sharing and deletion are legal questions before they are technical ones. Aryavos builds for both: wearable integrations that reconcile sources which disagree, coaching tools trainers use because they beat the spreadsheet, offline behaviour that assumes a basement gym with no signal, and a data model where access, retention and deletion are decided before launch. Which regulatory obligations apply to your product and your markets is assessed and agreed per engagement.
- Apple Health, Google Fit and device-SDK integration
- One reconciled record when two devices disagree
- Health data access, retention and deletion designed in
- Offline-first logging that syncs when signal returns
- Subscription, trial and churn mechanics you can measure
What We Build
Fitness and wellness products we build and keep running
Fitness Apps
Workout logging, programme delivery and progress history — built so a set recorded on a basement gym floor with no signal is neither lost nor duplicated when the phone reconnects.
Workout and Coaching Platforms
Class libraries, live sessions and structured programmes for gyms, trainers and wellness brands, with video delivery sized to how members actually watch: on a phone, often on mobile data.
AI in Training Plans
Adaptive plans and recommendations grounded in what someone logged rather than what the average user does — with a clear line drawn between a training suggestion and a health claim.
Nutrition and Food Logging
Food logging, barcode scanning and meal planning, including the unglamorous part that decides whether anyone sticks with it: a food database that resolves local products and real portion sizes.
Wearables and Device Sync
Apple Health, Google Fit and device SDKs, plus the reconciliation logic for when the watch, the phone and the treadmill each report a different number for the same hour.
Telehealth & Virtual Coaching
Remote consultations, messaging and scheduling between practitioners and clients, with role-based access so a coach sees training data and a clinician sees only what the client agreed to share.
Engineering Stack
Technologies we build fitness products on
Chosen for what fitness products actually strain — background sensor sync, offline writes, video delivered over mobile data, and time-series data that grows every day a member trains.
Languages
Build Frameworks
Data Stores and Health APIs
- Apple Health
How We Work
What working with Aryavos on a fitness product looks like
The things that decide whether a fitness product is still earning revenue in month six, rather than only collecting downloads in week one.
Personalisation From Real Data
Plans that respond to what someone actually logged — sessions missed, a lift that stalled, sleep that collapsed — instead of a generic ladder that ignores the last three weeks. And a clear line between a training suggestion and a health claim.
Health Data Treated as Sensitive
Encryption in transit and at rest, least-privilege access, explicit consent for every sharing relationship, and retention and deletion rules defined before launch. Which regimes apply to your product is assessed and agreed per engagement, and we build to support those obligations — we do not certify software or claim compliance on your behalf.
Designed for the Gym Floor
Large touch targets, one-handed logging, screens readable with sweat on the phone, and a rest timer that keeps running when the screen locks. Interfaces designed at a desk tend to fail between sets.
Shipped in Slices
We put a narrow product in front of a real cohort early and expand it against observed behaviour, rather than spending the budget on features a retention curve would have told you not to build.
Wearables Without the Chaos
Every platform defines a workout, an active calorie and a sleep stage slightly differently, and plenty of members wear two devices. We build the mapping and precedence rules once, so your reports stay consistent whichever device someone straps on.
Coaching Workflows, Not Dashboards
A trainer carrying a full roster needs a queue, not a wall of charts: who missed sessions, who is deloading, who has not opened the app in a week. We build the daily workflow first and the analytics around it.
Platform Capabilities
What members and coaches use every day
Straightforward individually. Harder when they have to agree with three wearables, work with no signal, and hold data you would not want leaked.
Adaptive Training Plans
Programmes built from goals, available equipment and logged history, that adjust when someone misses a week instead of restarting them at the top of the block.
Activity & Health Tracking
Steps, heart rate, sleep, weight and workout history on one timeline, with the source of each figure recorded so a disputed number can be traced back to the device that reported it.
Wearable Sync
Background sync with Apple Health, Google Fit and device SDKs, with de-duplication and precedence rules so the same run does not turn up three times.
Live & On-Demand Sessions
Streamed classes and video libraries with adaptive bitrate for gym Wi-Fi and mobile data, plus downloads for the sessions members repeat every week.
Challenges & Community
Streaks, challenges and groups that raise the cost of quitting — used where they help retention and left out where they tip into unhealthy comparison.
Progress & Coach Reporting
Trends measured over months rather than sessions, exports for coaches, and honest handling of gaps so a fortnight of missing data does not read as a collapse in performance.
Frequently Asked Questions
The questions we get asked first
Tell us what you're
trying to build
The problem, who it's for, and where you are now. That's enough for us to come back with something useful.
hello@aryavos.com
HQ
Noida, India & New York, USA
What happens after you send it
A developer reads it, not an auto-responder. Expect questions about scope and constraints first, then a suggested way to start.