Advancing the Conversation on Digital Reliability

As enterprises move AI from experimentation to scaled production, quality engineering is evolving from point-in-time validation toward continuous assurance of AI quality, safety, and reliability. This is increasing demand for domain-aware evaluation and observability that can identify issues such as hallucination, bias, and drift as AI systems evolve in production, says Ankit Gupta, Vice President at Everest Group.

QualityKiosk emerges as a Major Contender in Everest Group’s Quality Engineering (QE) Services for AI Applications and Systems PEAK Matrix® Assessment 2026, supported by capabilities across AI evaluation, generative AI assurance, and observability, alongside established quality engineering experience in banking and insurance. The company’s NimbusAI framework further strengthens this proposition through automated evaluation of generative AI applications across multiple trust dimensions, including guardrail validation and continuous monitoring from development through production.