Guardrails

Guardrails AI is a reliability platform for teams building production generative AI applications. Its framework works across any language model and deployment environment, and it is organized around three jobs: generating data, finding failures, and controlling what reaches users. For the first, the platform simulates large scale, realistic datasets for fine tuning, distillation and prompt optimization, using a synthetic data product called Snowglobe. For the second, it generates dynamic evaluation datasets aimed at edge cases and risky outcomes, so that failure modes of an agent can be measured before users encounter them. For the third, it deploys runtime guardrails that detect policy violations, hallucinations and data leakage and block bad outputs before they are delivered. The Guardrails Hub is the library where validators for these checks are shared. It is aimed at engineering teams shipping AI applications that need validation and governance around model output, from startups to large enterprises and government agencies. The home page also points to a webinar and a course with Andrew Ng on building failure resistant AI applications. The home page carries a notice that Guardrails AI joins Harvey. The site publishes no pricing, and visitors are directed to the Guardrails Hub or to a conversation with the team.