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Overview

DeepRails is a complete AI quality control platform for large language model applications, focused on eliminating AI hallucinations before they reach end users. It offers three integrated products on a single platform: Defend API, Monitor API, and a free testing Playground.

It is built for AI developers and engineering teams, especially those building high-stakes AI applications for regulated domains like legal, finance, healthcare, and education. Its core use cases include real-time hallucination detection and correction, LLM quality monitoring and drift detection, and free hallucination detection testing.

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Core Features

Real-time hallucination detection and automated correction for LLM outputs
Expansive library of pre-built guardrail metrics (quality, safety, domain-specific) with support for custom metrics
Full developer configurability for workflows, accuracy/cost tradeoff run modes, tolerance thresholds and improvement actions
Integrated analytics, detailed traces and full audit logging for all LLM interactions

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How to Use

Sign up for a free account on the DeepRails console
Configure your workflow, set guardrail metrics, hallucination thresholds and desired improvement actions
Integrate the DeepRails API into your LLM application to automatically detect, fix and log hallucinations before outputs reach customers

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Key Advantages

Up to 51% more accurate hallucination detection than competing solutions like AWS Bedrock, with a mathematically proven 84% combined hallucination catch rate
Full developer control over all parameters, with one-time workflow configuration deployable across all platforms and environments
Offers the industry-standard Hallucination-Safe™ trust seal for AI systems verified and protected by DeepRails

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