LibrAI provides a secure sandbox that automates the evaluation of generative AI models against built‑in safety tests and customizable compliance checks. The platform delivers expert‑level feedback and actionable insights at scale, integrating with CI/CD and MLOps pipelines to keep AI behavior within defined safety boundaries while reducing manual review effort.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying generative AI face difficulty ensuring that models operate safely, comply with regulations, and avoid harmful outputs, leading to costly delays and potential reputational risk.
Solution
LibrAI offers a sandbox environment that securely evaluates AI systems against a suite of built‑in safety tests and customizable compliance checks. The platform automates the testing workflow, delivering expert‑level feedback and actionable insights at scale. By integrating with existing development pipelines, LibrAI accelerates deployment, reduces manual review effort, and helps organizations keep AI behavior within defined safety boundaries.
Target Audience
Primary customers are enterprises and AI product teams that develop or deploy generative AI models and need systematic safety and compliance assurance.
Features
- Comprehensive built‑in tests covering common AI safety scenarios such as fact verification, harmful content detection, and policy compliance
- Customizable test suites that can be tailored to specific regulatory requirements and corporate policies
- Automation that saves over 2,000 developer hours per customer annually by streamlining evaluation processes
- Actionable, expert‑level guidance generated from test results to refine model behavior
- Accelerated deployment workflow enabling production readiness in weeks rather than quarters
- Seamless integration with existing CI/CD and ML Ops pipelines for continuous safety monitoring