Exer AI

Exer AI

Exer AI is a clinical platform that turns patient movement into objective data for musculoskeletal and motion disorder care. Clinicians use it in the clinic, over telehealth, or with patients at home to capture gait, range of motion, and exercise form without strapping on sensors or extra hardware.

The platform runs on phones, tablets, and webcams using proprietary neural networks trained on large motion datasets. Analysis happens on the device edge, so providers get real-time feedback during assessments and remote monitoring sessions. The company positions it as clinical decision support that augments clinician judgment rather than replacing it.

Exer Labs builds the product for orthopedic surgeons, physical therapists, neurologists, primary care teams, senior living operators, and health plans. Mayo Clinic collaborates with Exer on hand and wrist disorder protocols, and the software is registered as an FDA Class II medical device.

Top Features:
  1. Captures objective motion data on tablets in clinic without sensors or wearables

  2. At-home patient app with real-time form correction and daily engagement reminders

  3. Hand and wrist assessments for 190+ conditions including carpal tunnel and rheumatoid arthritis

  4. Remote therapeutic monitoring with CPT codes 98975, 98977, 98980, and 98981 documented on site

  5. Runs neural network analysis on the edge using phone, tablet, or webcam cameras

  6. EHR-friendly workflows with barcode chart entry and APIs for billing integrations

  7. HIPAA-compliant platform registered as FDA Class II medical device software

Pros:
  1. No wearables or dedicated hardware needed; runs on phones, tablets, and webcams already in clinics.

  2. FDA Class II medical device registration and HIPAA compliance documented on the site.

  3. Supports in-clinic, telehealth, and at-home workflows with documented RTM billing codes.

  4. Mayo Clinic collaboration and clinical validation studies cited for hand and wrist care.

Cons:
  1. No public pricing; enterprise buyers must request a demo to get plan details.

  2. RTM device supply reimbursement is limited to musculoskeletal monitoring use cases per site documentation.

  3. Consumer self-serve signup is not offered; the product is sold to healthcare organizations.

FAQs:

Does Exer AI require wearables or special hardware?

No. Exer AI runs on common mobile devices including phones, tablets, and webcams. The platform uses computer vision to analyze movement without sensors, straps, or dedicated gait lab equipment.

Is Exer AI HIPAA compliant?

Yes. Exer AI states that its platform is HIPAA compliant with complete data privacy protection across clinic and at-home use. The company also notes that patient videos are not stored in the cloud for remote monitoring workflows.

What medical specialties does Exer AI support?

Exer AI targets orthopedics, neurology, primary care, physical medicine and rehabilitation, geriatrics, senior living, and health plans. Product pages cover operative and conservative MSK care, fall prevention, remote MSK monitoring, and rehab treatment plans.

Does Exer AI support remote therapeutic monitoring billing?

Yes. Exer AI documents RTM billing with CPT codes 98975, 98977, 98980, and 98981 on its RTM product page, including frequency rules and example reimbursement amounts. Exact reimbursement varies by payor and region.

How does Exer AI analyze patient movement?

Exer AI uses a proprietary convolutional neural network trained on millions of custom motion datasets. Computer vision on edge devices handles pose analysis, form error detection, and automatic rep counting in real time.

Can patients use Exer AI at home?

Yes. Exer Health is a smartphone app for at-home MSK monitoring with daily reminders, streaks, and form guidance. Providers can deliver hybrid care combining in-clinic scans, telehealth, and remote patient check-ins.

Category:

Pricing:

Paid

Tags:

Clinical AI
Musculoskeletal Health
Remote Patient Monitoring
Computer Vision
Physical Therapy
Telehealth
Gait Analysis
Orthopedics
Healthcare SaaS

Tech used:

jQuery
Webflow
Amazon CloudFront
Amazon Web Services
Google Cloud
Google Analytics
Google Tag Manager
Facebook Pixel
Intercom
Google Fonts
Ruby
Vimeo
Tailwind CSS

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