RagMetrics

RagMetrics at RAISE Summit 2025: Elevating LLM Reliability & ROI At the @RaiseSummit 2025, @RagMetrics is showcasing its evaluation platform for large language models (LLMs), designed to ensure reliability in real-world applications. This platform automates rigorous testing of retrieval-augmented generation systems, measuring outputs, retrieval accuracy, and consistency far beyond standard benchmarks. Founded in 2024 and based in Miami, RagMetrics assists AI teams in identifying "silent failures”, issues that may pass standard benchmarks but become apparent in actual usage. The platform supports any model or use case and offers over 210 built-in rubrics, custom metrics, A/B comparison capabilities, and synthetic data generation. Companies that use RagMetrics report a 95% agreement rate between human evaluators and LLMs, bridging the gap between automated assessments and real user judgment. Users can leverage this tool to optimize retrieval quality, balance latency and cost tradeoffs, and demonstrate return on investment (ROI) before launching their products. RagMetrics' presence at the RAISE Summit 2025 highlights its mission to make AI trustworthy and actionable. The platform empowers teams to launch LLM applications confidently, supported by transparent, data-driven metrics that enhance user trust and improve business outcomes.