How does the app count reps and check form?

A pose model finds body keypoints in every camera frame. We turn joint angles, tempo and range of motion into rules and learned models per exercise, so the app can count a rep, score its quality and say what to fix.

Which exercises can be tracked?

Common strength, bodyweight, mobility and yoga movements such as squats, lunges, push-ups, jumping jacks, planks, presses and rows. We add new exercises by defining the movement and validating it on real footage.

How accurate is pose tracking?

Accuracy depends on lighting, camera angle, clothing and the exercise. We measure it on your own exercises and devices during the prototype and agree an accuracy target before the build.

Can the app personalise workouts automatically?

Yes. The planner uses goals, experience, equipment, schedule, injuries, recovery data and past performance to generate and update plans, with guardrails so progression stays safe.

Can users talk to an AI coach?

Yes. A conversational coach can answer questions, explain a movement and motivate users by text or voice. We ground it in your programmes and add safety rules, so it stays within what it should advise on.

Which platforms do you build for?

Native iOS and Android, cross-platform apps with Flutter or React Native, companion apps for Apple Watch and Wear OS, and a web dashboard for coaches and admins.

Which wearables and health platforms can you connect?

Apple HealthKit, Google Health Connect, Garmin, Fitbit, Whoop, Polar and standard Bluetooth heart-rate sensors, plus smart-equipment APIs where they are available.

Can the app integrate with our CRM, ERP or billing?

Yes. We connect memberships, payments and leads to systems such as NetSuite, Salesforce, Dynamics 365, Stripe and your booking or access-control software.

Does pose tracking work offline?

Yes. The models run on the device, so tracking works without a connection and data syncs when the user is back online.

Will it run on older or low-end phones?

We choose and compress models to meet your device targets, and provide lighter modes for older phones. The supported-device list is agreed up front.

Is user video sent to your servers?

Not by default. Pose estimation runs on the device and only keypoints, scores and workout summaries are stored. Any video upload happens only with explicit, revocable user consent.

How do you protect health and fitness data?

Data is encrypted in transit and at rest, access is role-based and logged, and users get controls to export or delete their data. We design to support GDPR, CCPA and HIPAA-style requirements.

Is the app a medical device?

A general fitness or wellness app usually is not. Features that diagnose, treat or monitor a condition can fall under medical-device rules such as FDA, CE or CDSCO. We flag this during discovery and design accordingly.

Who owns the code, models and data?

You do. Source code, trained models and user data are yours, and we document everything so your team can take over at any point.

How do you keep AI coaching safe?

Coaching is grounded in approved programme content, uses guardrails on intensity and progression, avoids medical advice and escalates to a human coach where needed.

How long does it take to build an AI fitness app?

A focused prototype with live pose tracking usually takes 4 to 6 weeks. A production app on iOS and Android typically takes about 3 to 4 months, depending on scope, exercises and integrations.

How much does it cost?

Cost depends on platforms, number of exercises, AI scope, integrations and compliance needs. After discovery we give a fixed-scope estimate for the prototype and a clear phased budget for the full build.

Can we start with an MVP?

Yes, and we recommend it. Start with the one or two features that prove value, such as rep counting plus a basic plan, then add nutrition, coaching and community once real users validate the idea.

What happens after launch?

We offer monitoring, bug fixes, OS-update support, model retraining as you collect data, and a roadmap built from engagement analytics.

Do you work with startups as well as enterprises?

Yes. We scope engagements to fit, from a lean startup MVP to a multi-market platform for a gym chain or healthcare group.

AI Fitness App Development

Fitness apps that coach every rep in real time

We design and build AI-powered fitness apps with on-device pose tracking, adaptive workout plans, nutrition intelligence and wearable sync, so every member gets a personal coach in their pocket.

Camera pose tracking
Wearable-ready
Privacy-first by design

Talk to our experts See how it works

LIVEAI POSE TRACKING18 ms · 30 FPS

Bodyweight Squat

0/ 5 reps

AI coach

Chest up

Heart rate

112bpm

41.2 kcal00:38

95Form

Pose EstimationRep CountingForm CorrectionAI Workout PlansFood RecognitionWearable SyncVoice CoachingReadiness ScoresGamificationProgress AnalyticsOffline-firstPrivacy by DesignPose EstimationRep CountingForm CorrectionAI Workout PlansFood RecognitionWearable SyncVoice CoachingReadiness ScoresGamificationProgress AnalyticsOffline-firstPrivacy by Design

What we build

Everything a modern AI fitness product needs

From the camera model to the coaching voice to the billing system, we build the complete product, not just a demo.

Computer vision

AI Pose Estimation & Form Coach

Track body keypoints through the phone camera, count reps automatically and correct form with instant on-screen and voice cues.

Adaptive AI

Personalised Workout Planner

Plans that adapt to goals, equipment, injuries and recovery, and are rewritten every week from real performance data.

Vision + LLM

Nutrition & Food Intelligence

Snap a meal to log calories and macros, get smart swaps and meal plans that follow the training calendar.

Integrations

Wearable & Health Sync

Connect Apple Health, Health Connect, Garmin, Fitbit, Whoop and Bluetooth heart-rate straps into one clean data layer.

LLM + voice

Virtual AI Coach

A conversational coach with voice, memory of past sessions and safety guardrails, available at 6 AM or 11 PM.

Analytics

Progress Analytics & Insights

Strength, volume, consistency and readiness trends turned into plain-language insights that users actually act on.

Engagement

Gamification & Community

Streaks, challenges, leaderboards and rewards designed around real behaviour science, not vanity metrics.

Wellness

Recovery, Sleep & Readiness

Blend HRV, sleep and training load into a daily readiness score that tunes tomorrow's session.

Live pipeline

How the AI sees, understands and coaches a workout

Five stages turn a phone camera into a personal trainer. Hover to hold a stage, click to jump.

Step 01 of 5

Capture

The phone camera, wearables and sensors stream movement, heart rate and context into the app.

Front or rear camera, any angle
Wearable and Bluetooth sensor data
Offline-first, syncs when online

30 fps capture

Apps we build

One AI engine, six kinds of fitness product

Pick the experience that matches your audience. We reuse the same proven pose, planning and coaching core.

Digital training for gyms, studios and coaches

Give members an AI-guided programme between visits and give trainers a dashboard that shows who needs attention.

Member app with AI-generated programmes
Coach dashboard and client check-ins
Class booking and access control
Membership billing synced to CRM / ERP

Plan this app

Upper bodyToday's session

72%plan done

Bench press4 × 8
Seated row4 × 10
Shoulder press3 × 12

Start session

AI form check on

Synced with watch

Why Aarvexa

A partner that ships the whole product

Fitness apps win on retention, and retention comes from how good the product feels every single day. We pair AI depth with product craft and the business systems behind it.

Business models we enable

Subscription appsWhite-label for gymsEmployer wellnessInsurer programmesCoach marketplacesHardware companions

One team for AI, mobile and cloud

Model work, iOS and Android apps, backend and DevOps under one roof, so nothing gets lost between vendors.

Integrations your business already runs on

Sync memberships, billing and leads with NetSuite, Salesforce, Dynamics 365 and payment platforms.

Model quality you can measure

We benchmark accuracy on your exercises, your devices and your users, and report it in plain numbers.

Built to ship and to scale

Cloud-native backends, CI/CD, store-compliant builds and observability from the very first sprint.

Technology

A modern stack, proven on real devices

We pick the right tool for each layer and swap parts when your needs change.

On-device AI

MediaPipe PoseMoveNetTensorFlow LiteCore MLONNX RuntimePyTorch

Mobile & wearables

Swift / SwiftUIKotlinFlutterReact NativewatchOSWear OS

Health & devices

Apple HealthKitHealth ConnectGarminFitbitWhoopBLE heart-rate straps

Cloud & data

AWSAzureGoogle CloudPostgreSQLRedisKafka

Coaching intelligence

LLM coaching agentsRAG over programmesSpeech-to-textText-to-speechRecommendation modelsTime-series models

Privacy & trust

Built so users can trust the camera

Health data is personal. We design privacy into the architecture, not into the footer.

On-device processing

Pose models run on the phone. Raw camera frames stay on the device unless the user explicitly opts in.

Consent-first data

Granular permissions with clear controls to export or delete health and workout data at any time.

Encrypted end to end

TLS in transit, encryption at rest, role-based access and audit logs across the platform.

Compliance-aware

Architected to support GDPR, CCPA and HIPAA-style requirements, with clinical features reviewed for regulatory fit.

Our process

From idea to the app store in about a quarter

Indicative timelines for a typical iOS and Android build. We confirm yours after discovery.

01Week 1–2

Discovery & strategy

Users, goals, exercise library, monetisation model and success metrics, agreed before a line of code.

02Week 2–4

UX & prototype

A clickable prototype and a live pose-tracking proof of concept to test with real users early.

03Week 3–6

AI & data foundation

Model selection and tuning, exercise definitions, data pipelines and the wearable integration layer.

04Week 5–12

App & platform build

iOS, Android and cloud built in sprints with weekly demos and measurable accuracy targets.

05Week 11–14

Test & pilot

Device-lab testing, a closed beta, privacy review and store-readiness checks.

06Ongoing

Launch & grow

Release, monitoring, model retraining and a roadmap driven by live engagement data.

FAQ

Frequently Asked Questions

Straight answers on AI fitness apps: features, technology, privacy, cost and timelines.

It is the design and engineering of fitness or wellness apps that use artificial intelligence for tasks a human coach would do: watching your form, counting reps, planning workouts, adjusting the load and answering questions. Aarvexa builds the models, the mobile apps and the cloud platform behind them.

Typical capabilities include camera-based pose tracking and form correction, automatic rep and set counting, adaptive workout plans, food logging from photos, a conversational voice coach, wearable data sync, readiness and recovery scores, and progress analytics.

Gyms and studios, personal trainers and coaching businesses, wellness and healthcare companies, corporate wellness providers, insurers, sports brands and startups launching a new fitness product.

No. We can start from a standard exercise library and public pose models, then tune everything to your programmes, equipment and users. If you do have content or footage, we use it to raise accuracy.

Book a free consultation. We learn about your users and goals, show a live pose-tracking demo and propose a scoped prototype with clear success measures.

Let's build it

Ready to put an AI coach in every pocket?

Book a free consultation. We will show a live pose-tracking demo on your own exercises and map out a prototype you can test with real users in weeks.

Book a free consultation Explore our AI services