What challenges did Svaas Wellness Ltd face before AI implementation?

Musculoskeletal pain affects 1.7 billion people globally with limited access to holistic treatment beyond drugs. Svaas sought to improve patient access to personalized, physiologically and psychologically informed exercise therapy with real-time feedback to encourage adherence.

What was the impact of the AI solution?

Piloted with over 3,000 patients leading to improved adherence and pain management effectiveness. Plans to expand to 50,000 patients in 2025 to broaden access and positive health outcomes. Digital coaching and real-time feedback enable patients to perform exercises correctly at home, improving treatment quality.

Source

GCPPilotEvidence: Medium55/100

Svaas Wellness MyFlexa app personalizes musculoskeletal pain management using MediaPipe AI

Use case typePrecision medicineUpdated Jun 13, 2026

Svaas Wellness Ltd developed MyFlexa, an app providing personalized exercise plans for musculoskeletal pain patients, leveraging MediaPipe AI for real-time posture and movement feedback via computer vision. The app collects detailed patient data for healthcare provider review, helping improve pain management beyond pharmacological approaches. Currently piloted with 3,000+ patients in Russia, with plans to scale to 50,000, the app aims to enhance adherence and effectiveness in pain treatment using AI-driven digital coaching and performance analysis through Google BigQuery.

Organization: Svaas Wellness Ltd
Industry: Healthcare
Location: Russia

Reported outcomes

Strategic outcomes

New product / capabilityLaunched AI-driven digital coaching appCustomer experience & trustImproved personalized home exercise therapyScale & capacityExpanded access to more patientsBetter decisions & insightEnabled data-driven treatment improvement

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Svaas Wellness Ltd
Provider: GCP
Maturity: Pilot
Linked source: Google Cloud Customer Stories

Currently piloted with 3,000+ patients in Russia, with plans to scale to 50,000, the app aims to enhance adherence and effectiveness in pain treatment using AI-driven digital coaching and performance analysis through Google BigQuery

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Digital Health
2Computer Vision in Healthcare
3Personalized Patient Care

Musculoskeletal pain affects 1.7 billion people globally with limited access to holistic treatment beyond drugs.
Svaas sought to improve patient access to personalized, physiologically and psychologically informed exercise therapy with real-time feedback to encourage adherence.

Built MyFlexa app using Google Cloud MediaPipe to implement computer-vision-based digital coaching for posture and movement monitoring.
Provided personalized exercise recommendations based on proprietary algorithms analyzing patient pain profiles and conditions.
Utilized Google BigQuery for data analytics to continuously improve exercise recommendation models and overall treatment outcomes.

Technologies

MediaPipe Google BigQuery

Piloted with over 3,000 patients leading to improved adherence and pain management effectiveness.
Plans to expand to 50,000 patients in 2025 to broaden access and positive health outcomes.
Digital coaching and real-time feedback enable patients to perform exercises correctly at home, improving treatment quality.

Sources & evidence1

Evidence: Medium55/100Evidence strength

Customer explicitly identified
Deployment status explicitly supported
Primary source available
Technical implementation details available

Type: Customer StoryPublisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Svaas Wellness MyFlexa app personalizes musculoskeletal pain management using MediaPipe AI

Use case focus

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