Building the health operating system of the future.

equ is a private health intelligence platform, the first piece of a health operating system. It connects the signals you already have, such as sleep, mood, meals, movement, symptoms, labs, and wearable data, into one picture, explains which patterns are forming, and suggests what to try next.

A health operating system is one private layer that connects your health signals, reasons across them, and keeps the guidance consistent as your context changes, the way an operating system coordinates the apps on a device. equ is building that layer, starting with everyday signals.

Start with what you have today. A wearable, a lab result, a symptom note, or a mood log can begin the picture. Medications, meals, sleep, and movement add context, and guidance becomes more specific as more arrives.

A wearable helps, and it is one signal among many. Notes, meals, mood, symptoms, and lab results can begin the picture, and a wearable adds detail when you have one.

A tracker tells you what happened. equ asks why. It reasons across signals to show how they relate, why a pattern matters, and which next step is most useful.

A chatbot waits for a prompt and answers in general terms. equ is built for health context: it models you as an individual, reasons across relationships, and shows the inputs and reasoning behind each recommendation.

Explainable means you can see why. Each insight shows the signals involved, how they relate, and how confident the pattern is, so you can evaluate the guidance instead of taking a score on faith.

Neurosymbolic AI combines neural networks, which learn patterns from data, with symbolic reasoning, which works with explicit concepts and rules. The combination lets equ find patterns and still show the reasoning behind them.

Research, not guesswork. equ builds on published work in machine learning, neurosymbolic reasoning, and behavioral science, written with collaborators from institutions including MIT, Harvard, and the University of Cambridge. Four selected papers are listed on this page.

equ is for people who already collect health signals and want to understand them, and for the clinicians, researchers, and partners who work with them.

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