DeepRails

What is DeepRails?

DeepRails is an API platform that scores LLM outputs and fixes hallucinated or low-quality answers before users see them. Defend checks each response against guardrail metrics such as correctness, completeness, safety and adherence, then repairs it with FixIt or ReGen. Monitor is a read-only observability pipeline that scores live traffic and tracks usage, cost, latency and failure rates, with dashboards and per-event rationales. A no-code Playground lets you try both for free. Workflows are configured once in the console or API and referenced by workflow ID from any app, and six run modes trade accuracy against cost, from Super Fast to Precision Max Codex. Paid plans start at $49/month plus per-call rates from $20 per 1k calls, and the company also takes custom AI consulting projects priced against the saving they create.

Use cases

• Detect hallucinations in LLM answers
• Auto-correct low-quality AI outputs
• Monitor GenAI quality in production
• Set custom guardrail metrics
• Track cost and latency per workflow
• Test guardrails in a no-code playground

Who it's for

• AI developers
• AI product teams
• AI-first enterprises

Why use DeepRails

• Fixes bad answers in the request path instead of only logging them.
• Gives per-metric scores and rationales, so teams can see why an output was flagged.
• Lets teams try the guardrails free in a Playground before writing code.
• Scales from a solo plan to unlimited seats and private API access.

DeepRails features

• Defend API that detects and fixes bad outputs
• FixIt and ReGen remediation methods
• Monitor API for production quality tracking
• Guardrail metrics for correctness, completeness, safety and adherence
• Custom guardrail metrics
• Six run modes from Super Fast to Precision Max Codex
• Web search and file search as extended capabilities
• Reusable workflows configured via console or API
• Auto top-up controls with alerts
• HallucinationSafe certification badge on paid plans

How to get started with DeepRails

1. Try the Playground for free, or pick a paid plan for API access.
2. Configure a workflow with guardrail metrics, thresholds and an improvement action.
3. Send your LLM's prompt and output to the Defend API, or stream events to Monitor.
4. DeepRails scores the output and, with Defend, repairs it using FixIt or ReGen.
5. Review metrics, run history and audit details in the console.

DeepRails limitations

• The Free plan is Playground-only with restricted usage and no ticket support.
• Built-in metrics and auto-remediation on Free work in the Playground only.
• API usage is billed per 1K calls on top of the plan fee, and the rate depends on run mode.

DeepRails pricing

Yes, DeepRails has a free plan. Paid plans start at $49 per month, according to the official pricing page on 24 Oct 2026.

DeepRails plans

• Free

  FREE

  • Playground access only
  • Restricted Playground usage
  • Identify and fix low-quality outputs
  • No ticket support

• Basic

  $49/month

  plus from $20 per 1k calls; annual saves 2 months

  • For solo devs
  • $50 monthly free credits
  • 1 seat

• Pro

  $149/month

  plus from $18 per 1k calls

  • Priority API access
  • Access to Defend and Monitor
  • Request custom guardrails
  • 10 seats included
  • Priority tech support

• Enterprise

  $499/month

  plus from $15 per 1k calls

  • Private API access
  • Unlimited seats
  • White-labelling and custom deployment
  • 24/7 AI and tech support

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

DeepRails alternatives

The main DeepRails alternatives listed on Debuly are Guardrails AI, Galileo, Evidently AI, Opik, Arize AX and Cleanlab Trustworthy Language Model. The table compares pricing and platforms; order is A–Z.

1. 

   Arize AX

   Observability and evaluation platform for AI agents and LLM apps, with tracing, issue detection and experiments on a free plan.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Arize AX (official site)
2. 

   Cleanlab Trustworthy Language Model

   API that gives any LLM response a trustworthiness score in real time, so you can catch likely errors before users see them.

   Developer platformsAutomation and agents
   Visit Cleanlab Trustworthy Language Model (official site)
3. 

   Evidently AI

   Open-source Python library and platform to evaluate, test and monitor LLM apps, RAG systems, agents and ML models.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Evidently AI (official site)
4. 

   Galileo

   AI observability and eval platform that tunes evals to your data and turns them into guardrails for LLM apps and agents.

   Developer platformsAutomation and agents
   FreemiumVisit Galileo (official site)
5. 

   Guardrails AI

   Open-source framework that wraps LLM apps with validators for PII, hallucination and policy checks, plus Snowglobe simulation testing.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Guardrails AI (official site)
6. 

   Opik

   Comet's open-source platform for tracing, evaluating and monitoring LLM applications and agents, self-hosted or in the cloud.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Opik (official site)

DeepRails FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from deeprails.com · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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