Machine Medicine Technologies (MMT) is a healthtech company that uses AI-powered video analysis to assess and track motor function in patients with neurological conditions like Parkinson’s disease. Their platform, KELVIN™, supports remote and objective clinical evaluations used by specialists worldwide.
MMT required a QA process that could ensure high test coverage for both mobile and web platforms, while also validating AI-powered motion tracking algorithms. The goal was to improve clinical reliability, ensure regulatory compliance (HIPAA), and stabilize the product for enterprise-level demos and hospital partnerships.
The product faced serious stability and accuracy issues, which directly affected clinical use and slowed adoption:
These issues made it harder to demonstrate the product confidently, impacted clinician retention, and created friction in acquiring new users.
To address both the product and business risks, Testiva deployed a structured QA strategy that combined industry best practices with project-specific actions:
Testiva’s efforts led to measurable improvements across product quality and business performance:
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