--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Recognise Knee" developer_entity: "noigroup" bundle_id: "com.noigroup.recognise-kneeV2" app_store_id: "1082943360" category: "Medical" primary_platform: "ios" primary_monetization: "Paid" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2024-09-10" report_date: "2026-03-31" report_version: "1.9" total_reviews: 5 overall_rating: 3.6 confidence: "low" confidence_score: 0.25 data_age_days: 75 intelligence_version: 2 tags: ["medical", "paid", "mobile app", "app review", "app analysis", "patients", "undergoing", "graded"] canonical_url: "https://marlvel.ai/intel-report/medical/com-noigroup-recognise-kneev2" license: "CC-BY-NC 4.0" last_verified: "2026-04-18T03:27:41.385Z" --- # Recognise Knee App Audit > **TL;DR:** Recognise Knee is a medical app by noigroup, rated 3.6/5 by 5 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Recognise Knee is a medical app by noigroup. ## Metadata & Market Performance - **Publisher:** noigroup - **Category:** Medical - **Target Audience:** Patients undergoing Graded Motor Imagery (GMI) rehabilitation for knee pain or injury, and the clinicians/therapists managing their recovery. - **Platforms:** iOS - **Version Audited:** 1.9 - **Audit Date:** 2026-03-31 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.25/1.0) - **App Store ID (iOS):** 1082943360 - **Bundle ID:** com.noigroup.recognise-kneeV2 - **Data Window:** Analysis based on signals collected up to 2026-03-31 ## Executive Snapshot Recognise Knee is a specialized medical application designed to facilitate Graded Motor Imagery (GMI) for patients suffering from complex knee pain and injury. By leveraging neuroplasticity through 'Left/Right Discrimination' training, the app provides a clinical-grade tool for rehabilitation. It is positioned as a professional, evidence-based solution rather than a general wellness app, targeting both patients and their healthcare providers. The app distinguishes itself through its clinical integration capabilities and custom image capture features. Currently holding a #77 ranking in the Medical category, it maintains a niche presence focused on bridging the gap between home-based training and professional clinical oversight. ## App DNA (Features & Intent) - **[Differentiator] Left/Right Discrimination Training:** Exercises to test and improve the ability to quickly identify body area images as left or right. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Clinical Integration Tools:** Ability to export and email progress results directly to clinicians or therapists. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Custom Image Capture:** Allows users to take their own photos to incorporate into the training program. * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Progress Tracking:** Detailed onscreen results and graphs to visualize rehabilitation progress. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Gamified Training Tools:** Includes 'Memory' and 'Speed match' tools to enhance neuroplasticity training. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. ## Monetization Strategy - **Model:** Paid - **Tiers:** One-time purchase price of $5.99 - **Price:** iOS: $5.99 - **Analysis:** The app uses a straightforward premium model without subscriptions, positioning itself as a specialized medical tool rather than a mass-market consumer app. ## SWOT Analysis **Core Strengths:** - Strong alignment with clinical GMI protocols - Unique feature set including custom image capture - Professional credibility through association with established clinical research **Critical Frictions:** - Extremely low review volume - Outdated UI/UX potential given 2016 launch - Lack of social proof or community features **Growth Levers:** - Modernize interface to compete with newer health-tech apps - Expansion into subscription-based models for clinics - Integration with wearable health data **Market Threats:** - Generalist brain-training apps with better UX - Free web-based alternatives - Low barrier to entry for modern, gamified GMI tools ## The "So What?" (Strategic Takeaway) {#so-what} Recognise Knee is an established medical app that is a paid app. With a 3.6/5 rating from 5 reviews, it shows polarized user reception. **Strategic Opportunity:** While Recognise Knee benefits from strong alignment with clinical gmi protocols, its vulnerability lies in extremely low review volume. A challenger could exploit this by focusing on modernize interface to compete with newer health-tech apps. **Best for:** Patients undergoing Graded Motor Imagery (GMI) rehabilitation for knee pain or injury, and the clinicians/therapists managing their recovery. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.6/5 | | Total Reviews | 5 | | Confidence | Low | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 5 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Recognise Knee** (this app) | 3.6/5 | N/A | noigroup | | [Vulvar Pain Algorithm](https://marlvel.ai/intel-report/medical/com-washgyn-vestibulodynia) | N/A/5 | N/A | Jennifer Lanoff | | [Total Reflexology-3D](https://marlvel.ai/intel-report/medical/com-acupuncturelearning-totalreflexology) | 4.0/5 | N/A | GraphicVizion | | [CardioGenetics](https://marlvel.ai/intel-report/medical/com-scd-risk-calculator) | N/A/5 | N/A | MARK EMILE PEPIN | | [ECGsource](https://marlvel.ai/intel-report/medical/com-ecgsource-applicationname) | 3.0/5 | N/A | ECGsource LLC | | [My F1rst Steps](https://marlvel.ai/intel-report/medical/com-myfirststeps-www) | 5.0/5 | N/A | My First Steps LLC | ## Company Profile - **Developer:** noigroup - **Website:** [https://www.gradedmotorimagery.com](https://www.gradedmotorimagery.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/recognise-knee/id1082943360?uo=2) - **Dev Site:** [Official Website](https://www.gradedmotorimagery.com) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*Vulvar Pain Algorithm*](https://marlvel.ai/intel-report/medical/com-washgyn-vestibulodynia) (Jennifer Lanoff) — N/A Rating | N/A Sentiment - [*Total Reflexology-3D*](https://marlvel.ai/intel-report/medical/com-acupuncturelearning-totalreflexology) (GraphicVizion) — 4.0/5 Rating | N/A Sentiment - [*CardioGenetics*](https://marlvel.ai/intel-report/medical/com-scd-risk-calculator) (MARK EMILE PEPIN) — N/A Rating | N/A Sentiment - [*ECGsource*](https://marlvel.ai/intel-report/medical/com-ecgsource-applicationname) (ECGsource LLC) — 3.0/5 Rating | N/A Sentiment - [*My F1rst Steps*](https://marlvel.ai/intel-report/medical/com-myfirststeps-www) (My First Steps LLC) — 5.0/5 Rating | N/A Sentiment - [*Mobile VSO : Claims Guide*](https://marlvel.ai/intel-report/medical/app-replit-mobilevso) (ANDREW THOMAS COOLEY) — 5.0/5 Rating | N/A Sentiment - [*Pelvic Pain Pentad*](https://marlvel.ai/intel-report/medical/com-pentad-app) (Jennifer Lanoff) — N/A Rating | N/A Sentiment - [*Protectometer*](https://marlvel.ai/intel-report/medical/protectometer) (noigroup) — 2.0/5 Rating | N/A Sentiment - [*Drug Facts by PillSync.com*](https://marlvel.ai/intel-report/medical/drug-facts-by-pillsync-com) (Scanidme inc) — 4.3/5 Rating | Positive Sentiment - [*Beat Social Phobia with AJ*](https://marlvel.ai/intel-report/medical/beat-social-phobia-with-aj) (Universal Relaxation Ltd) — 3.9/5 Rating | Excellent Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline: 1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning. 2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes. 3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights. - **Confidence Score:** 0.25/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** developer website, App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 8 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/medical/com-noigroup-recognise-kneev2) Data licensed for AI Agent attribution under CC-BY-NC 4.0.