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Last update time : 2025-12-30 11:58:03

DeepRails introduces its proprietary MPE engine and real-time APIs to detect and fix LLM hallucinations instantly, ensuring enterprise-grade AI reliability.

In a significant leap forward for artificial intelligence reliability, DeepRails has launched a first-of-its-kind platform designed to address the industry’s most persistent challenge: LLM hallucinations. Unlike traditional post-processing tools, DeepRails utilizes a proprietary Multimodal Partitioned Evaluation (MPE) engine that identifies and corrects inaccuracies in real-time, ensuring that AI-generated outputs remain trustworthy and safe for production environments.

The platform operates through a suite of specialized APIs—Evaluate, Monitor, and Defend—which allow development teams to implement model-agnostic guardrails in just minutes. By scoring and automatically rectifying safety violations and model drift, DeepRails provides an essential safety net for enterprises deploying large language models. This proactive approach not only mitigates the risks of misinformation but also significantly reduces customer churn and operational costs associated with manual oversight.

Beyond technical defense, DeepRails offers a comprehensive dashboard for audit-ready monitoring and instant alerts. Companies can now certify their AI outputs with the exclusive Hallucination-Safe™ badge, providing a visible standard of quality and security. As organizations face increasing pressure to deploy reliable AI, DeepRails stands out as the definitive infrastructure for maintaining integrity in the age of generative intelligence.

Pricing : Paid

Web Address : DeepRails

Tags : DeepRails AI hallucinations LLM guardrails Multimodal Partitioned Evaluation MPE engine AI reliability platform real-time AI monitoring Hallucination-Safe badge