Interactive movement coaching and practice workshop platform

For

Clinics, physiotherapy practices and fitness studios running supervised movement programmes

Solves

Supervised exercise sessions depend on one coach watching several people at once, so form errors, rep counts and programme adjustments are missed between visits.

Delivers

Reviewed form feedback, rep counts and adjusted session plans

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Extend qualified supervision between sessions while keeping the clinician's programme in control.

1. Capture consented movement locally and give real-time form feedback during sets.
2. Count repetitions automatically and flag uncertain counts.
3. Adjust the programme from performance, feedback and changing conditions.
4. Answer training, recovery and nutrition questions through a coaching persona.
5. Guide each set with voice cues.
6. Recognise the machine or equipment in use.
7. Recommend the next exercise and plan the session.
8. Alert on common mistakes linked to overuse or strain.
9. Process movement on the device without uploading video frames.
10. Start with one tracked rep before asking for personal details.
11. Sync permitted health data to inform programming.
12. Send short consistency nudges.
13. Track performance and improvement over time.
14. Show video demonstrations for each exercise.
15. Offer a simulated sparring partner for offensive and defensive practice.
16. Run a belt, XP and clan progression system.
17. Provide dashboards with real-time and customisable views.
18. Forecast trends to support clinician decisions.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-clinician approval before consequential use.
21. Export a versioned reviewed session record with source references and unresolved questions.

Everything these tools do, in one app

• Real-time form feedback Provides immediate feedback on exercise technique during sets to help correct mistakes.Found in FormAI, CoachAI
• Rep counting Automatically counts repetitions as you exercise, reducing manual tracking.Found in Ray, CoachAI
• Adaptive workout programming Adjusts workout plans over time based on your performance, feedback, or changing conditions.Found in Ray, CoachAI, Proxima
• AI coaching persona An AI assistant that provides personalized coaching cues and answers questions about training, recovery, and nutrition.
• Voice coaching Guides you through each set with real-time voice cues during workouts.Found in Ray
• Equipment recognition Automatically identifies the machine or equipment being used to contextualize feedback.Found in FormAI
• Exercise recommendations Suggests the next exercise and provides basic session planning to keep workouts cohesive.Found in FormAI
• Injury prevention alerts Alerts you to common mistakes that could lead to overuse or strain.Found in FormAI
• On-device processing All movement analysis happens locally on the device, with no video frames uploaded.Found in CoachAI
• Quick-start onboarding Gets you moving quickly by requiring only one tracked rep before asking for personal details.Found in CoachAI
• Health data integration Syncs with health data platforms like Apple Health to inform programming.Found in Ray
• Consistency nudges Sends short text nudges to support workout consistency.Found in Ray
• Progress tracking Monitors your performance and improvements over time to foster motivation.Found in Kayyo
• Video demonstrations Provides detailed video instructions for each exercise to help master techniques.Found in Kayyo
• Virtual sparring partner Allows practice of offensive and defensive skills in a simulated environment.Found in Kayyo
• Progression system Includes a belt ranking system with XP leveling and clan building to enhance engagement.Found in Kayyo
• Data analytics and visualization Automates data processing and provides customizable dashboards for real-time insights.Found in IronIQ
• Predictive analytics Uses AI to forecast trends and support decision-making.Found in IronIQ

What goes in, what comes out

The workflow

1. In
   Start with

   Consented movement capture, equipment context, health data and clinician-set constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect consented movement capture

4. 3

   Equipment context

5. 4

   Health data and clinician-set constraints

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed form feedback, rep counts and adjusted session plans

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for rep arithmetic, schema validation, hard safety constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Client intake and consent, Live session practice view, Clinician review and programme board. Use a client roster with consent and programme states, a large central live view for the current set, and a right-hand panel for equipment context, cues and clinician notes. Let users compare recorded sets side by side. Display draft, changes requested and approved states. Provide a client practice link with comments anchored to the relevant set. Make the task-specific outcome reviewed form feedback, rep counts and adjusted session plans visible beside its evidence, review state and value baseline.

Accounts and administration

Client ownership, consent versions, clinician comments, approval states, usage allowances, session limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Client-owned health records, consented movement capture and permitted health data platforms. Cloud session storage, health data import/export and clinic scheduling destinations. Start with file exchange and validate destination specifications before promising direct clinical record writing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   7 days

   One buyer segment, one recurring use case; first modules: capture consented movement locally and give real-time form feedback during sets; count repetitions automatically and flag uncertain counts. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   8 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   3 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will clinics, physiotherapy practices and fitness studios running supervised movement programmes use it to solve "supervised exercise sessions depend on one coach watching several people at once, so form errors, rep counts and programme adjustments are missed between visits"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Supervised sessions per clinician hour and form errors corrected before the next visit.
4. Measure, then decide. Track supervised sessions per clinician hour and form errors corrected before the next visit; accepted-output rate; material error rate; clinician correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician. Implement one approved input format, a bounded representative case set and the first two task modules: capture consented movement locally and give real-time form feedback during sets; count repetitions automatically and flag uncertain counts. Support the third module with operator review: adjust the programme from performance, feedback and changing conditions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed form feedback, rep counts and adjusted session plans. Retain the explicit scope boundary: One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician.

What the build depends on. Movement capture and preview, asynchronous analysis jobs, editable version history, clinician access and tested export formats. High-fidelity movement analysis requires specialist clinical QA. Obtain representative consented cases, baseline measurements, qualified clinicians and a buyer-side decision owner. Specific limitation: One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined supervised programme. Offer a monthly session allowance after repeat demand. Quote complex multi-site or specialist rehabilitation work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed form feedback, rep counts and adjusted session plans. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Extend qualified supervision between sessions while keeping the clinician's programme in control. Demonstrate a concrete reviewed form feedback, rep counts and adjusted session plans using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Clinics, physiotherapy practices and fitness studios professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant clinical or fitness trade events.

Lead magnet

A reviewed sample reviewed form feedback, rep counts and adjusted session plans from a small consented input set, with a transparent calculation of supervised sessions per clinician hour and form errors corrected before the next visit and no promised savings.

The first 30 days

1. Week 1: interview five clinics, physiotherapy practices and fitness studios running supervised movement programmes and inspect a recent example of supervised exercise sessions depending on one coach watching several people at once.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure supervised sessions per clinician hour and form errors corrected before the next visit, clinician effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Supervised sessions per clinician hour and form errors corrected before the next visit. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if consent is unavailable, qualified clinical review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Supervised sessions per clinician hour and form errors corrected before the next visit; accepted-output rate; material error rate; clinician correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed form feedback, rep counts and adjusted session plans. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved movement patterns, equipment constraints and clinician review examples, together with reliable delivery for a narrow clinical fitness niche. Build a permissioned library of representative task cases, clinician corrections and verified operating constraints for clinics, physiotherapy practices and fitness studios running supervised movement programmes. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Flex AI: Your AI Personal Trainer, FormAI, Ray, CoachAI, IronIQ, Proxima and Kayyo, plus personal trainers and clinic exercise sheets. Compare this product with the buyer's present method on supervised sessions per clinician hour and form errors corrected before the next visit. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

On-device processing attempts, storage, clinician reviewer hours, client revision rounds and licensed exercise media. Additional initial validation requires representative consented sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed form feedback, rep counts and adjusted session plans. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve client consent, source attribution, movement data accuracy and usage permissions. Clinicians approve substantive programme changes and client-facing scope. One supervised programme type and one equipment set; clinical judgement, diagnosis and progression decisions remain with the qualified clinician. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.