Enterprise-Grade Quality
Engineering Built for Healthcare
Deliver flawless healthcare digital experiences across connected devices, faster, safer, and compliant.
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World’s Largest Virtual Agentic
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Trusted by 2M+ users globally at
"We have tripled our tests and are now executing tests in less than 2 hours with 78% Faster Test Execution"
"We figured out a more efficient way to monitor system health and resolve failures earlier in lower environments."
"TestMu AI has significantly boosted our testing speed, is easy to implement, and provides exceptional support."
"With 70% faster test execution, TestMu AI helped us achieve faster time-to-market and enhanced CX."
Why Healthcare Can't Afford Legacy Testing
60% of healthcare organizations rely on legacy systems, limiting AI adoption. Legacy QE struggles with HIPAA compliance, diverse devices, and AI-driven workflows.
AI-Native QE, Purpose-Built for Healthcare
Agentic quality engineering leverages AI agents to autonomously test clinical workflows on a HIPAA-compliant platform, overcoming the limitations of legacy systems in healthcare enterprises.
We had our first automated test running on TestMu AI within two days, and migrated 80% of critical test scenarios by week two.
European Online Pharmacy
Lead QA Automation Engineer
KaneAI - GenAI Native Testing Agent
Multi-modal AI agents that take clinical requirements, diffs, tickets, docs, or media and automatically plan tests, write cases, generate automation, and run at scale.
- Autonomous Test Scenario Generation for EHR, Telehealth & LIMS
- Multi-Modal & Persona-Based Testing Across Care Workflows
- Scalable Execution & Insights with Compliance Risk Scoring
Real Device Testing for Patient-Facing Apps
Catch UI/UX defects before production, test EHR systems, patient portals, and telehealth platforms on the same real devices your patients and care teams use.
- Dedicated real device cloud with enterprise-grade isolation
- Debug real-world scenarios across 10,000+ environments
- Maximize device coverage while reducing infrastructure overload
Fastest Healthcare Test Execution With HyperExecute
Run healthcare automation tests up to 70% faster than legacy clouds, enforcing quality gates across every release pipeline. Accelerate release velocity without sacrificing compliance.
- AI agents autonomously prioritize and execute tests
- Intelligent orchestration with smart queuing and parallelization
- Deep observability and test intelligence for bottleneck detection
Deliver Pixel-Perfect, Accessible Healthcare Experience
AI-native visual comparison catches regressions across every screen, device, and resolution, while automated WCAG compliance ensures every patient can access care, regardless of ability.
AI-native pixel-to-pixel and DOM-level visual regression- Automated WCAG 2.1 AA/AAA accessibility compliance
- Built-in CI/CD integration with actionable remediation guidance
Flexible Deployment for Healthcare Enterprises
AWS Cloud
Global scale and availability to support secure, high-performance healthcare solutions.
Microsoft Azure
Cloud-native infrastructure with built-in compliance for secure healthcare deployment.
Google Cloud
Scalable and secure cloud platform with regional data control for healthcare enterprises.
AI-Agentic Quality Engineering
Plan, author, and evolve end-to-end tests using natural language.More about KaneAI 
50%
reduction in test execution time
“HyperExecute is a highly reliable test execution platform and has excellent customer support.”
Sagar Uday Kumar
Sr. Engineering Manager
More Reasons to Love TestMu AI
TestMu AI Named a Challenger in the 2025 Gartner® Magic Quadrant™
Read ReportTestMu AI recognized in The Forrester Wave™: Autonomous Testing Platforms, Q4 2025
Read ReportWall of Fame
TestMu AI is #1 choice for SMBs and Enterprises across the globe.
Enterprise-Grade Security
We safeguard your data and AI systems with global security, privacy, responsible AI, and ESG standards.
Integrations
Works where you work, 120+ integrations with the tools your team relies on.
Users
2.5M+
Tests
1.5B+
Enterprises
18K+
Countries
132
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