AI You Can Trust

Evaluate AI across 8 dimensions—Fairness, Safety, Privacy, Transparency, and more. Generate responsible content and monitor AI's ethical performance.

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No credit card required•Free monthly credits•Simple UI + Full APIs

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Paste any AI content and get instant risk analysis across 8 dimensions.

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Everything You Need for Responsible AI

Evaluate, generate, and monitor safe AI—for developers and content teams alike.

Evaluate Any AI Content

Analyze all content across 8 RAIL dimensions—get detailed risk scores and actionable insights instantly.

Generate Safe Outputs

Create AI content with built-in safety filters and compliance guardrails—every output is verified.

Built for Everyone

Powerful REST APIs for developers, plus intuitive no-code UI for non-technical users.

Monitor AI Systems

Continuous monitoring with real-time alerts for safety violations—track compliance across your AI ecosystem.

Built for Your Workflow

For Developers

  • →Evaluate any AI content via REST API
  • →Generate safe outputs with compliance built-in
  • →Monitor AI systems with real-time webhooks
  • →Python, JavaScript SDKs & full documentation
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For Content Teams

  • →Evaluate AI content—no coding required
  • →Generate safe content with easy forms
  • →Track compliance trends over time
  • →Export reports for audits
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8
RAIL Dimensions
Comprehensive evaluation framework
99.9%
Uptime SLA
Enterprise-grade reliability
<1s
Average Response
Lightning-fast analysis

Research & Resources

Our work is informed by leading research in the field of responsible AI.

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RAIL in the Wild

Operationalizing Responsible AI Evaluation Using Anthropic's Value Dataset

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Transparency in AI: Beyond Explainability

Explores transparency frameworks for AI systems, emphasizing accountability and user trust.

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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Seminal work identifying gender stereotypes in word embeddings and proposing methods to debias them.

Icon of a document with three horizontal lines, symbolizing transparency, ethical guidelines, and clear documentation in responsible AI practices.

Detecting and Mitigating Harmful Outputs in Generative AI

Techniques to identify and reduce harmful content generated by advanced AI models.

Icon of a document with three horizontal lines, symbolizing transparency, ethical guidelines, and clear documentation in responsible AI practices.

Bias in Multimodal AI Systems

Analysis of bias propagation in multimodal AI systems combining text, image, and audio data.

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