Handle AI governance with a simple, custom-policy-driven API
Keep your users and applications safe from AIs that step out of line! Overseer AI provides a lightweight, developer-first AI safety API that monitors and validates AI system outputs across all models and providers. Features real-time content analysis, custom safety policies, usage analytics, and an open-source API with language-specific SDKs. We are committed to open-source and contributing to the AI safety community- check us out on huggingface and github!
Developers can grab an API key in minutes, install the SDK from GitHub or npm, and use the Validate() method to filter LLM outputs, enabling rapid deployment of safety controls without extensive refactoring.
Overseer AI validates LLM responses in real-time using a smart policy engine, flagging unsafe or non-compliant outputs so developers can prevent harmful content from reaching end users while maintaining application functionality.
The platform provides a comprehensive safety analytics suite that tracks safe response rates, compliance metrics, and LLM accuracy, with timestamped failure logs that enable secure investigation without exposing sensitive user data.
The company provides expert safety consulting services covering AI safety best practices and global AI regulations, helping teams understand compliance obligations and integrate AI responsibly into their products.
Overseer AI offers custom model training services for organizations with specialized safety needs, allowing teams to train proprietary safety models aligned with their unique regulatory or ethical standards.