Testlio announced LeoAI Engine and LeoMatch, breakthrough AI technologies that redefine software quality assurance and talent matching at scale.
“We're building the first truly holistic, AI-driven approach that addresses every friction point in the testing lifecycle,” says Summer Weisberg, interim CEO at Testlio. “Our combination of real testing data, proven methodologies, and a global community of expert testers makes us uniquely positioned to set new standards for both software quality and talent matching precision."
Key takeaways:
· LeoAI Engine is the proprietary intelligence layer powering all Leo products. LeoAI Engine aims to orchestrate the entire testing ecosystem—from initial project setup and tester recruitment through execution, results analysis, and continuous optimization. This 360-degree approach transforms crowdsourced testing from a manual, reactive process into an intelligent, predictive system. By analyzing testing context, automatically matching optimal testers, and continuously learning from every interaction, LeoAI Engine delivers enterprise reliability while eliminating operational overhead.
· Built on LeoAI Engine, LeoMatch autonomously connects the right testers to projects in real-time. By analyzing over 100 live signals, including skills, devices, geography, and performance history, LeoMatch ensures only the most qualified testers participate. Key benefits include faster time-to-impact (instantly assembles tester teams aligned to project needs); continuously optimizes tester assignments based on real-world performance; and keeps the tester pool active, accurate, and globally available.
"LeoMatch solves what others can't: deliver high-quality signal and testing precision that QA teams can trust," says Marko Kruustük, Founder of Testlio. "Clients can scale testing operations instantly while testers focus on solving the most complex QA challenges. It's the future of both software quality and on-demand, top talent."
