Testlio, a leading fully managed crowdsourced testing platform, today announced an expanded, end-to-end AI testing solution, the latest addition to its managed service portfolio. The service helps brands build, validate, and deploy safer, more reliable AI systems while ensuring the overall functionality, accessibility, and user experience of AI-powered applications meet real-world expectations.
Empowered by Testlio’s global community of more than 80,000 vetted and trained professional testers, the AI Testing solution is uniquely equipped to uncover and mitigate critical AI failures across agentic behavior, consumer and business safety, and enterprise security.
"Trust, quality, and reliability of AI-powered applications rely on both technology and people,” said Summer Weisberg, COO and Interim CEO at Testlio. “Our managed service platform, combined with the scale and expertise of the Testlio Community, brings human intelligence and automation together so organizations can accelerate AI innovation without sacrificing quality or safety.”
Bringing Human Intelligence Into AI
AI systems are only as dependable as the data and validation that shape them. Yet many organizations struggle to test AI models comprehensively across languages, regions, and use cases.
Testlio’s AI Testing solution closes that gap with human-in-the-loop validation at every stage of development, enabling teams to:
- Validate AI model behavior in real-world conditions across languages, devices, and regions
- Detect and mitigate hallucinations, bias, and harmful automation in agentic systems
- Simulate red team scenarios to uncover prompt injection, jailbreak, and compliance vulnerabilities before they reach production
- Continuously monitor performance to identify drift, regression, and degradation
Hallucinations Dominate AI Failures
New data from early adopters of Testlio’s AI Testing solution highlights the urgent need for structured AI testing:
- 82% of AI issues involved hallucinations or misinformation, particularly in chatbot and retrieval-augmented generation (RAG) systems
- 79% of bugs were classified as medium or high severity, directly affecting user trust, product credibility, and brand reputation
- Accuracy outpaces bias as the top risk, as many AI systems confidently blend facts with fabricated details
Powering AI Quality Through a Skilled Global Community
Testlio’s commitment to testing excellence runs deep. Founded in 2012 by Kristel Kruustük, who began her career as a freelance software tester, the company was built on the belief that quality testing requires community, expertise, and integrity.
“Testing AI systems demands a new level of sophistication,” said Kristel Kruustük, co-founder of Testlio. “Our testers go beyond finding bugs to evaluate fairness, reasoning, and trust. By integrating human oversight and AI education into our platform, we’re helping the industry build safer systems from the inside out.”
Unlike traditional QA vendors, Testlio’s AI testing solution is leveled up by a global community of trained, domain-aligned professionals who undergo continuous AI upskilling through the Testlio Academy. All members complete the foundational course, Introduction to Testing AI-Powered Systems, which builds skills in assessing fairness, reasoning quality, safety risks, and ethical integrity across text, voice, image, and structured-data experiences.
Recently, a Testlio community member shared their achievement of earning an AI testing certification through the Testlio Academy, underscoring the company’s commitment to continuous learning and excellence in AI quality assurance.
As demand for AI validation grows, Testlio is expanding its global community to meet the increasing need for specialized testers trained in AI systems. Learn more or apply to join the Testlio Community here.
Building on a Year of AI Innovation
The launch of AI Testing extends Testlio’s leadership in AI-enabled quality engineering. Earlier this year, the company introduced LeoAI Engine and LeoMatch, proprietary technologies that accelerate test orchestration and talent pairing, built from 13 years of testing data and more than 2.6 million test cases across more than 600,000 devices.
Beyond core model testing, Testlio validates the entire AI-powered experience. For companies integrating large language models, Testlio's testers assess latency, response formatting, contextual accuracy, and integration reliability. This includes testing generative, RAG, agentic, recommender, and predictive AI applications under real-world conditions.
Testlio's AI Testing service is available now.