DeepRails

DeepRails is the essential AI reliability and guardrails platform engineered for developers and teams who demand production-grade, trustworthy AI systems. In an era where large language model (LLM) hallucinations and errors pose a critical risk to real-world applications, DeepRails provides the non-negotiable solution. It acts as a definitive kill-switch for AI inaccuracies, detecting and fixing problematic outputs before they ever reach end-users. The platform's core value is its hyper-accurate evaluation of AI outputs for factual correctness, grounding, reasoning, and safety, coupled with automated remediation workflows. This is not just a monitoring tool; it is an active correction engine that integrates seamlessly into your development pipeline. Built to be model-agnostic and production-ready, DeepRails is a must-have for any team in finance, legal, healthcare, education, or support that is committed to shipping reliable AI. It transforms AI from a potential liability into a dependable asset, ensuring every piece of information delivered is accurate and every interaction is safe.

Ultra-Accurate Hallucination Detection

DeepRails employs advanced, proprietary evaluation metrics to detect hallucinations and factual inaccuracies with industry-leading precision. It goes beyond simple keyword matching to assess the factual correctness, grounding in provided context, and logical consistency of every AI output. With granular scoring from 0-100, it provides the definitive accuracy benchmark you need to trust your AI's responses, proven to be up to 53% more accurate than alternatives like AWS Bedrock.

Automated Remediation with Defend API

This is the core correction engine. When the Defend API detects a quality issue, it doesn't just flag it—it actively fixes it. The platform can automatically trigger improvement actions like "FixIt" to correct the output in-place or "ReGen" to request a new response from your LLM. This real-time intervention ensures only vetted, high-quality responses are delivered to your customers, making it an indispensable layer for production systems.

Expansive & Customizable Guardrail Metrics

DeepRails offers a comprehensive library of pre-built guardrail metrics covering Quality, Safety, and Advanced categories, including Correctness, Completeness, and Context Adherence. Crucially, you can also create fully custom metrics tailored to your specific domain and business objectives. This flexibility ensures you can enforce the exact standards your application requires, from legal citation verification to brand tone compliance.

Full Audit Trails & Real-Time Analytics

Every interaction processed by DeepRails is logged in real-time within the DeepRails Console. This provides complete visibility with beautiful metrics, detailed execution traces, and immutable audit logs. You can track performance trends, drill into any individual run to see the improvement chain, and have full accountability for your AI's behavior, which is critical for debugging and compliance in regulated industries.

Legal and Compliance Applications

For legal tech platforms, ensuring AI-generated advice, contract summaries, or case citations are factually perfect is non-negotiable. DeepRails validates every legal reference, checks for adherence to provided case documents, and prevents the AI from "inventing" laws or rulings. This use case is essential for mitigating malpractice risk and building trustworthy client-facing tools in the legal domain.

Financial Services and Advisory

In finance, inaccurate information can lead to significant monetary loss and regulatory penalties. DeepRails is critical for applications providing financial analysis, investment summaries, or personalized advice. It rigorously evaluates outputs for factual accuracy against trusted data sources and ensures compliance with disclosure requirements, making AI-augmented financial tools viable and safe.

Healthcare Support and Triage

AI in healthcare must be held to the highest standard of correctness. DeepRails is used to verify the accuracy of AI-generated drug interaction lists, symptom checkers, and patient education materials. By ensuring all medical information is grounded in verified context and free from harmful hallucinations, it enables the deployment of supportive AI tools that clinicians and patients can reliably trust.

Customer Support and RAG Systems

For customer support chatbots and Retrieval-Augmented Generation (RAG) systems, DeepRails ensures responses are complete, helpful, and strictly based on the provided knowledge base. It enforces Context Adherence to prevent the AI from fabricating answers outside its documentation, guaranteeing that customer inquiries receive accurate, on-brand, and relevant support 24/7.

How does DeepRails differ from basic LLM output filters?

Basic filters often rely on keyword blocking or simple sentiment analysis. DeepRails is fundamentally different. It performs deep, semantic evaluation of factual correctness, logical consistency, and grounding against your specific context. It doesn't just block bad outputs; it understands why they are wrong and can automatically correct them, providing a necessary layer of intelligent quality control for production AI.

Can I use DeepRails with any LLM provider?

Absolutely. DeepRails is built as a model-agnostic platform. It seamlessly integrates with all leading LLM providers and APIs, including OpenAI, Anthropic, Google, and open-source models. You can implement DeepRails as a critical middleware layer in your existing stack without being locked into a single model vendor, which is essential for maintaining flexibility.

Is DeepRails suitable for real-time, production applications?

Yes, it is engineered specifically for production environments. The Defend API is designed for low-latency, real-time evaluation and remediation. It processes AI outputs inline within your application's workflow, making instantaneous decisions to detect and fix issues before the response is sent to the end-user, ensuring no degradation in user experience.

What kind of support and integration is available?

DeepRails provides comprehensive SDKs, detailed API documentation, and a live API console for testing. The platform is built by AI engineers for AI engineers, ensuring the tooling integrates smoothly into modern development and MLOps pipelines. For complex deployments, DeepRails also offers consulting services to help teams implement robust guardrail strategies tailored to their needs.