DeepRails

DeepRails is the definitive AI reliability and guardrails platform engineered for teams that are serious about shipping trustworthy, production-grade AI systems. As large language models move from prototype to product, the critical blocker is no longer capability but correctness. Hallucinations, factual errors, and inconsistent reasoning can derail user trust and business outcomes. DeepRails solves this by being the only solution designed to not just passively detect these issues but to actively and substantively fix them in real-time. It provides hyper-accurate evaluation of AI outputs for factual correctness, grounding, and reasoning consistency, allowing engineering teams to distinguish critical errors from acceptable model variance with high precision. Built by AI engineers for AI engineers, the platform is model-agnostic and production-ready, integrating seamlessly with leading LLM providers and modern development pipelines. Beyond its core Defend API for real-time correction, DeepRails offers the Monitor API for observability and a Playground for testing, creating a complete suite for AI quality control. It empowers developers with automated remediation workflows, custom evaluation metrics aligned with business goals, and human-in-the-loop feedback systems that continuously improve model behavior, enabling companies to scale their AI applications with confidence.