Agents that know when, not just what.
Today's AI agents wait to be asked. Even then, they only read the prompt, not the person behind it. Cerenity gives your agent a sense of the person: what they need, and when to step in or stay quiet.
→ A project agent notices a teammate is at risk and steps in before the deadline slips.
→ An AI assistant notices you're stressed, holds off, and follows up once you're less occupied.
→ A tutoring agent senses a student losing confidence and slows down before they give up.
What your agent gets
When to act: signals that now is the right moment to step in, or a moment to stay quiet
What the person needs: their likely needs and intent, even when they aren't spoken
How it works
Cerenity is a human-understanding layer for AI agents. We take in multimodal signals — [e.g., voice, text, wearable data] — infer the person's internal state, and deliver it to your agent as structured, ready-to-use input. Understanding builds over time instead of resetting every session.
Connect in one line via MCP, API, or SDK. Run it alongside your agent, inside its logic, or as a supervisor across multiple agents. Inference and user data are kept strictly protected.
Built for
Developers and teams building AI agents and products in [e.g., workplace, wellness, education].
Status
Early access. Join the waitlist at waitlister.me/p/cerenity to get in touch and stay updated.
Explore more apis & integrations tools on EarlyHunt.
