Handle AI governance with a simple, custom-policy-driven API
Overseer AI - Lightweight, dev-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.
Whats up AI developers! This one's for you.
After talking to hundreds of technical leaders across industries, safety comes up as a constant issue: many teams are still apprehensive to adopt ai because they don't have adequate control over it. So I built OverseerAI.
2025 is the year of responsible, controlled acceleration.
OverseerAI is a few lines of code that make sure a response from any LLM system you use is safe and suitable for your users. Check out the SDK on GitHub - it's model-agnostic and will work with any model, from any provider, with any prompt or model settings.
The best part? It's completely customizable. You define what "safe" means for your specific use case. Whether you're building an educational app that needs to keep responses age-appropriate, or a professional tool that should avoid certain topics - you can set those guardrails exactly where you want them.
Some highlights:
⚡️ Fast inference: low overhead on your API calls
🔌 Easy integration with all current and future models and providers
🧾 Detailed safety reports and timestamps for auditing bad responses
🎛️ Fine-grained control over content policies
🧱 Built-in MLcommons hazard taxonomy control
I've built this because AI safety shouldn't be an expensive barrier to innovation. You and your team shouldn't have to choose between new AI features and reliable content filtering.
Would love to hear your thoughts and feedback! Let me know if you're building something interesting with it.
