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Ship AI Systems with Confidence: Use Verif‑AI

Building reliable AI requires more than measuring outputs. Verif-AI helps you trust your evaluations, monitor real-world performance, and identify risks in AI-generated code before they reach production.

AI Quality Evaluation with Verif‑AI

As generative AI moves into production, organizations need confidence not only in AI outputs, but also in the reliability of evaluations and ongoing production performance. With AI coding agents increasingly generating application code, teams must also identify security, compliance, and quality risks, ensuring the code behind AI is as trustworthy as its outputs.

Verif-AI brings evaluation, production observability, and code assurance together in a single platform.

Why Teams Choose Verif‑AI

Reliable AI Evaluation

Reliable AI Evaluation

Build confidence in your evaluation results by validating the evaluators themselves. Compare results across multiple judge models using inter-rater reliability analysis, flag inconsistent evaluations for review, and calibrate judges against expert-labelled datasets to ensure evaluation quality aligns with your standards.
Purpose-Built AI Evaluation

Purpose-Built AI Evaluation

Measure what matters for your AI application with more than 20 specialized metrics across RAG, Reasoning, Agentic, Safety, Common, and Domain categories. Get metric recommendations based on your application type and industry, helping teams focus on the most relevant quality signals instead of relying on generic checks.
Continuous AI Observability

Continuous AI Observability

Capture live production traces and surface key operational insights such as latency, error rates, token usage, and quality trends through a centralized dashboard. Turn production interactions into reusable golden test cases to create a continuous feedback loop between real-world performance and evaluation.
AI-Native Code Assurance

AI-Native Code Assurance

Ship AI-generated code with confidence by detecting security, compliance, and completeness risks before production. Identify hallucinated packages, leaked secrets, insecure patterns, licence issues, and known CVEs—so your code is as trustworthy as your AI outputs.

Why QBurst

Major Contender

Major Contender: QE Specialist Services, 2025

20+

Years of Quality Engineering Expertise

600+

Quality Engineering Specialists