Kinetic AI.QA
Automated quality assurance testing with AI-powered cobots and next-gen foundation models
Overview
Humanlike automated QA capabilities — even where traditional automation fails
Kinetic AI.QA is an AI- and robotics-powered platform that transforms device testing by seamlessly integrating digital and physical actions, enabling faster, smarter and more reliable quality assurance.
The platform combines best-of-breed cobots, customized foundation models and simulation-first workflows to enhance the benefits and expand the possibilities of QA automation. It supports touch, motion, pressure and ergonomic testing across consumer electronics, XR/AR devices, office equipment and healthcare IoT.
Kinetic AI.QA Benefits
Improved time to market
Eliminate manual testing bottlenecks to accelerate product launches
Enhanced test coverage and quality
Ensure total consistency of steps in each test to gain more accurate test results
Scalability for diverse devices
Speed up validation for multiple SKUs with simulation workflows
Optimized costs
Lower operational costs by minimizing errors and improving resource allocation while unlocking continuous operation for increased throughput
Services
Comprehensive QA robotics services from platform design to autonomous test execution and analytics
Platform selection
- Task-to-platform matching
- Custom hardware integration
- Simulation-first validation
- Control software tuning
- Rapid deployment scaling
CAD and prototyping
- Custom end-effectors
- 3D printing / CNC
- Modular test rigs
- Electrical prototyping
- Rapid fixture design
AI-based learning
- Imitation learning
- Exoskeleton demonstrations
- Reinforcement learning in simulation
- Sim-to-real transfer
- Domain randomization
Cobots
- UI interaction testing
- Mobile QA cobots
- EOL hardware testing
- Multimodal validation
- Safe human collaboration
Data analytics
- Real-time data logging
- Test dashboards
- ML-based defect insights
- Feedback to control
- Audit-ready reports
Features
Kinetic AI.QA provides end-to-end quality assurance automation, integrating digital and physical steps, and relying on expert demonstrations, not rule-based coding, to ensure uncompromising optimization for every use case.
Foundation models as brain
Powered by vision-language-action models and imitation learning from expert testers
Multimodal sensing
Touch, force, motion and haptics for high-fidelity test coverage
Custom end-effectors
HCLTech-designed tools for unique product ergonomics and interactions
Simulation-first
NVIDIA Omniverse-based digital twins for stress, durability and usability testing
Integration-ready
APIs with CI/CD, ticketing and test case libraries
Robot safety framework
Built-in compliance and safe human-robot collaboration solutions