Equ AI Lab
Engineering intelligence for human health and longevity.
Equ AI Lab engineers the intelligence behind Equ Healthcare — a thinking health system built for understanding, explaining, and improving human health. We combine machine learning, neurosymbolic reasoning, and behavioral science to transform scattered health signals into clear, actionable guidance.
We integrate data from wearables, labs, medications, symptoms, lifestyle apps, and subjective inputs — transforming fragmented signals into meaningful relationships. Our AI explains how sleep, stress, nutrition, mood, activity, recovery, and biomarkers influence each other, enabling evidence-based action before issues develop.
Equ is built on explainability, contextual reasoning, and scientific rigor. Every recommendation includes transparent reasoning, confidence levels, and timing — designed for trust, accountability, and clinical use. Our systems adapt in real time to your biology, environment, and routine.
Privacy is the foundation of our architecture, not a feature. Equ uses on-device intelligence, end-to-end encryption, and federated learning to ensure your health data remains your property. Our infrastructure is built to be HIPAA-ready and SOC 2–ready, with no resale or third-party data access, ever.
Our vision is a world where personalized and private medicine is universally accessible — where people understand how their body and mind work together, and can act with clarity and confidence. Equ is not another tracker. It is a reasoning health system designed to improve health outcomes through transparency, precision, and continuous adaptation.
Our research spans machine learning, neurosymbolic AI, digital biomarkers, behavioral science, and clinical translation. We publish foundational work on explainable health AI, model accountability, and human-centered health intelligence. Explore our latest research and insights to stay at the forefront of AI-driven health innovation.
We are assembling a team of exceptional AI engineers, researchers, clinicians, and designers committed to building trustworthy health intelligence. If you care deeply about explainability, scientific rigor, and human health, we invite you to join us.