Infer user state in real time from interaction patterns. No content, no PII, no surveillance.
Pick where you want to start. Each runs on the same idea: read how people behave, in real time, without their content.
Tell a human voice from a synthetic one through phonation physics, no retraining for each new cloning tool.
Open Swan →Block sensitive data in live voice streams in 10ms, by reading the texture of speech instead of transcribing it.
Open Signal →Gate destructive AI actions when you are fatigued or overloaded. A local, on-device MCP daemon.
Open Developers →Read hesitation, stress, and conversion readiness in real time, without surveys, content, or PII.
Open Partners →Keystroke timing, rhythm, scroll velocity, dwell time. Never the content itself.
Stress, focus, fatigue, and hesitation, computed in real time as probabilistic signals.
Systems adapt: gate a risky action, adjust an AI response, or surface a well-timed prompt.
Local-first processing, no raw data storage, and open-source components anyone can audit.