DeepRails Review: AI Hallucination Detection and Correction
DeepRails helps software companies and enterprises maintain the quality of their AI outputs. It is designed for teams in sectors like finance, medical, and legal that require factual accuracy.
At a glance
- Category
- Software Development
- Best for
- Software companies, Enterprise AI teams, Legal tech developers, Health tech developers, Fintech developers
- Pricing
- Pricing starts at $49/month for the Basic plan. Monthly fees are available for Basic ($49), Pro ($149), and Enterprise ($499) tiers, with usage-based pricing ranging from $15 to $276 per 1K calls depending on the run mode.
- Key use cases
- Hallucination Remediation, AI Output Monitoring, High-Stakes Content Validation, RAG System Grounding
- Official website
- www.deeprails.com
DeepRails is an AI safety tool designed to detect and correct hallucinations in large language model (LLM) outputs before they reach the end user. It offers three primary tools: the Defend API for real-time correction, the Monitor API for quality tracking, and a Playground for experimentation.
The software is designed for development teams creating AI-powered products, particularly in regulated industries where incorrect information may lead to compliance or reputational risks. It uses a system of guardrail metrics to score outputs on a 0-100 scale across dimensions such as correctness and safety.
Buyers should confirm their specific accuracy needs and budget, as pricing varies based on the selected run mode and the volume of API calls. The tool also supports the creation of custom guardrail metrics for domain-specific requirements on Pro and Enterprise plans.
Key Features
Detects low-quality or hallucinated outputs in real time and supports automatic correction using ReGen or FixIt tools.
Tracks quality and performance metrics across an AI stack to help identify regressions or performance drift.
Evaluates outputs based on Correctness, Completeness, Instruction Adherence, Context Adherence, Ground Truth Adherence, and Comprehensive Safety.
Offers different analysis tiers ranging from 'Super Fast' for cost-efficiency to 'Precision Max Codex' for deeper verification.
Algorithms that may help auto-calibrate hallucination tolerance based on a workflow's real-world performance.
Supports web search and RAG-powered file search to provide additional context during evaluation and improvement.
Use Cases
Identifying and fixing incorrect LLM responses before they are delivered to customers in a production environment.
Using the Monitor API to track the quality of AI responses and support consistency across different deployments.
Applying correctness and safety guardrails for AI tools used in medical, legal, or financial contexts.
Using Context Adherence metrics to help ensure AI assistants use provided company documentation to answer queries.
Best For
Pricing
Pricing starts at $49/month for the Basic plan. Monthly fees are available for Basic ($49), Pro ($149), and Enterprise ($499) tiers, with usage-based pricing ranging from $15 to $276 per 1K calls depending on the run mode.
FAQ
Defend is designed for real-time detection and automatic fixing of hallucinations before they reach customers, while Monitor is used to track quality and performance across an AI stack.
DeepRails offers a free Playground for testing and paid tiers (Basic, Pro, and Enterprise) starting at $49/month, plus usage fees based on API calls and the selected run mode.
It is designed for teams in high-accuracy fields such as finance, medical, education, and legal, where factual integrity is critical.
Source category: Software Development
Source subcategory: AI Development Platform
