The IDC MarketScape report identifies RagMetrics as one of the emerging innovators shaping the fast-growing field of AI evaluation and monitoring. According to IDC, RagMetrics helps organizations measure performance differences across models, vector databases, prompts, and agentic configurations — enabling enterprises to architect AI applications that are more efficient, explainable, and accurate.
The report highlights RagMetrics' library of evaluation metrics, its use of synthetic data generation, and its proprietary fine-tuned LLM judgment that leverages human feedback to achieve high levels of human–AI agreement. These capabilities allow enterprises to evaluate and monitor their LLM applications before and after deployment, ensuring reliability in production environments.
"Being recognized in the IDC MarketScape validates our mission to make AI measurable, auditable, and accountable," said Olivier Cohen, Founder and CEO of RagMetrics. "As AI adoption accelerates, enterprises need a trust layer that ensures performance, compliance, and reliability. RagMetrics is building exactly that."
RagMetrics serves organizations in finance, pharmaceuticals, healthcare, industrial systems, and AI consulting — sectors where accuracy, risk management, and transparency are critical. The company's platform provides custom evaluation metrics, retrieval scoring, hallucination detection, and trace scoring.
About RagMetrics
RagMetrics is an AI evaluation and monitoring company that enables enterprises to make Generative AI systems reliable, auditable, and compliant. Its platform provides tools for performance measurement, retrieval quality scoring, hallucination detection, and ongoing model evaluation. RagMetrics operates in regulated industries where AI accuracy and accountability are essential.
🌐 Website: https://ragmetrics.ai
📧 Press Contact: olivier@ragmetrics.ai
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Source: RagMetrics
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