TensorZero builds open-source tools for production-grade LLM applications: LLM gateway, observability, optimization, evaluations, and experimentation.
Guardrails AI
Guardrails AI provides a framework for building, governing, and deploying reliability controls for generative AI systems.

About Guardrails AI
Guardrails AI is an AI reliability platform designed to support generative AI (GenAI) systems across their lifecycle. It provides a framework for building, governing, and scaling reliability controls that work with any large language model (LLM) and deployment environment. The platform is built for teams working on production GenAI applications, from early development to full deployment.
Its core capabilities include generating synthetic training datasets for fine-tuning, distillation, and prompt optimization, creating dynamic evaluation datasets to identify edge cases and failure modes, and deploying runtime guardrails that detect policy violations, hallucinations, and data leakage before outputs reach end users. The platform also offers educational resources, including on-demand webinars and a course developed with Andrew Ng, to help teams build safer, more reliable AI applications. It is used by enterprises, startups, and government agencies.
Key features
- Generates synthetic datasets for fine-tuning, distillation, and prompt optimization
- Creates dynamic evaluation datasets to identify edge cases and failure modes
- Deploys runtime guardrails to block policy violations, hallucinations, and data leakage
- Provides educational resources including webinars and an Andrew Ng course
- Supports any LLM and deployment environment
- Covers the full GenAI lifecycle from training to production
- Trusted by enterprises, startups, and government agencies
- No open source version available
- Pricing information is not publicly listed
Guardrails AI at a glance
- Website
- guardrailsai.com
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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