Report updated Mar 31, 2026

What Is Recognise Shoulder?

Recognise Shoulder is a specialized medical application designed to facilitate Graded Motor Imagery (GMI) for patients suffering from complex shoulder pain and injury. By leveraging neuroplasticity through Left/Right Discrimination training, the app provides a structured, evidence-based rehabilitation tool that bridges the gap between clinical therapy and home-based practice. Targeted primarily at patients under clinical supervision and the therapists managing their recovery, the app occupies a niche position within the Medical category. Its primary differentiator is its clinical-grade utility, specifically the ability for patients to capture custom images and export progress data directly to their healthcare providers.

What does it look like?

What are the key features?

Left/Right Discrimination TrainingDifferentiator

Tests the user's ability to quickly and accurately identify body parts as left or right to stimulate neuroplasticity.

Clinical Integration ToolsDifferentiator

Allows users to export and email progress results directly to clinicians or therapists.

Custom Image CaptureDifferentiator

Enables users to take their own photos on their device to incorporate into the training program.

Progress TrackingStandard

Provides detailed onscreen results and graphs to map performance over time.

Gamified Training ToolsStandard

Includes 'Memory' and 'Speed match' tools with graded difficulty levels and personal best challenges.

Educational ContentStandard

Provides a comprehensive explanation of the science behind Graded Motor Imagery and Left/Right Discrimination.

What do users think? iIndependent intel reports to help builders create better apps or enhance existing ones. Still in beta, accuracy and relevancy get better every day. For informational purposes only.

Gathering public signals...

Sentiment analysis will be available once enough user reviews are collected.

How is it ranked?

ChartRankChange
Paid#52NEW
No ranking data for this selection.

What are the pros and cons?

Pros

  • Strong alignment with clinical protocols and evidence-based medicine.
  • Unique features like custom image capture provide high utility for personalized therapy.
  • Direct clinical integration (data export) creates a 'sticky' ecosystem for therapists.

Cons

  • Low rating count (4) and poor average rating (2.25) suggest potential UI/UX or technical stability issues.
  • Lack of social media presence limits community building and brand awareness.
  • The app has not seen significant feature updates since 2016, risking obsolescence.

What is the market outlook?

Growth Opportunities

  • Expansion into a subscription-based model could fund regular updates and feature parity with modern mobile standards.
  • Integration with wearable health devices could automate progress tracking.
  • Development of a unified 'Recognise' platform that combines all body parts into one app.

Market Threats

  • Generalist health and wellness apps incorporating basic neuro-rehab features.
  • Potential for newer, more modern UI/UX competitors to capture the market.
  • Platform OS updates (iOS) may eventually break legacy code from the 2016 rebuild.

What are the key takeaways?

Recognise Shoulder is a divisive medical app that is a paid app. With a 2.3/5 rating from 4 reviews, it receives mixed feedback from users.

Best for: Patients undergoing rehabilitation for complex pain or injury, and the clinicians or therapists managing their Graded Motor Imagery programs.

How much does it cost?

Model: paid

Tiers:
One-time purchase price of $5.99

The app uses a straightforward premium model without subscriptions, targeting users who require specific therapeutic tools for long-term rehabilitation.

iOS Version

1.9

Release Date

Feb 24, 2016

iOS Price

$5.99

Developer

noigroup

Independent intel to help builders create better apps.

No publisher influence. No third-party bias. Built with objectivity in mind to serve the builder community. Reports are continuously improved and refined. For informational purposes only.

Hope this helps & keep building! · Found an error?

Cite this report

Marlvel.ai. “Recognise Shoulder Intelligence Report.” Updated Mar 31, 2026. https://marlvel.ai/intel-report/medical/com-noigroup-recognise-shoulderv2

Agent Markdown (.md)·

Data licensed under CC-BY-NC 4.0