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About Us

Building the infrastructure for truly personalized healthcare

We are a small team of engineers and scientists building Cony, an AI health companion that helps people and clinicians make better decisions from longitudinal health data.

Our mission is to make high-quality, preventive healthcare personalized and accessible, starting with people who need continuous support outside the clinic.

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What We Optimize For

Physiology-First AI

We build models around human biology, not generic engagement metrics.

Evidence-Driven Product

Clinical relevance and measurable outcomes guide what we ship next.

Human-in-the-Loop Care

We keep clinicians and patients aligned, with clear context and traceability.

Team

Leadership across biomedical engineering, computational biology, and machine learning systems.

Danielh Carranza

Danielh Carranza

CEO, Biomedical & Machine Learning Engineer

Early machine learning engineer at Beam (YC S22).

Joel Mushagasha

Joel Mushagasha

COO, Bioinformatics & Computational Biology

Computational biology at Carnegie Mellon. Former NIH researcher.

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