Building better tools for everyday health
Mission
Our mission
To democratize health intelligence by building private, personal, and personalized systems that people can use in daily life.
equ helps people understand how behavior, biology, mental wellbeing, and health context fit together. People can start with the signals already available; additional context makes guidance more specific over time.
Vision
Our vision
- People own and control their health data.
- Insights adapt to real patterns, preferences, and context.
- Advanced health insight becomes understandable and useful.
- Preventive support becomes practical, private, and part of daily life.
Who We Serve
Built for people making health decisions
equ supports individuals, care teams, and organizations that need clearer health decisions from fragmented signals.
Individuals improving daily health.
Care teams looking for explainable insights.
Organizations building privacy-first health programs.
Whether the goal is personal wellbeing, preventive support, or care delivery, equ helps make the next decision clearer and easier to evaluate.
Technology leadership
equ connects neurosymbolic reasoning, privacy-first architecture, behavioral intelligence, and research validation into one product foundation.
Reasoning
Neurosymbolic AI
The equ engine combines neural models with symbolic reasoning so insights are easier to trace, validate, and refine.
Privacy
Privacy-First Architecture
equ puts user control and on-device processing first.
Behavior
Behavioral Intelligence
equ reads rhythms, habits, timing, and environment so guidance reflects real routines and constraints.
Research
Research Excellence
equ is shaped by MIT research, technical partnerships, peer-reviewed methods, and validation focused on real-world decisions.
Omar Costilla Reyes leads Equ Healthcare with more than a decade of interdisciplinary MIT research across brain science, health engineering, computer science, and behavioral neuroscience.
His work translates physiological and behavioral signals into clear, explainable insights for people, care teams, and health systems.
Research and industry recognition
Omar's work has been supported by Google Research, Microsoft Research, NVIDIA, and NSF iCorps.
He applies neurosymbolic AI to health, wellness, and everyday wellbeing so model outputs can be inspected, questioned, and trusted.
Connect with our team
Help shape private, personal, and personalized health intelligence.
Get in touchContact us about partnerships, demos, research, investor conversations, or bringing equ into your organization.
General Inquiries
Learn about the platform, the research roadmap, and the beta.
Partnerships
Explore clinical, academic, enterprise, or research work.
Location
Cambridge, Massachusetts
Equ Healthcare