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Clear clinical boundaries
Koa supports treatment; she does not replace the treating clinician. Clinical boundaries are explicit, and situations that belong back in human care are designed to move there.
ABOUT NUVEE & KOA
Clinical care doesn’t stop when the appointment ends.
NuVee is building Koa, a clinician-designed AI care system for the GLP-1 treatment journey. Koa is designed to understand what happens between visits, support patients through the day-to-day realities of treatment, identify when something needs attention, and help close the loop back to care.
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CLINICAL LEADERSHIP
Built from the exam room outward.
Jennie Luna, MD, MHA, DABOM
Founder & CEO · Clinical Leadership
Jennie is an endocrinologist and obesity medicine physician with 17 years of clinical practice. She founded NuVee after seeing the same gap repeatedly: patients spend only a fraction of their treatment journey in the exam room, while the side effects, uncertainty, behavior change, and moments that determine whether treatment works happen at home.
She leads Koa’s clinical design, patient-safety philosophy, and evidence strategy—grounding the system in real treatment journeys and the realities patients experience between visits.
HOW KOA IS CLINICALLY DESIGNED
Four principles guide the system.
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Safety by design
Koa is designed to recognize when a patient may need additional support and to support appropriate escalation back to the care team when human involvement is needed.
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Support patient autonomy
Koa is designed to strengthen patient confidence and self-efficacy over time while remaining a supportive part of the care journey.
04
Longitudinal understanding
Longitudinal context allows Koa to support the individual in a way that reflects how their treatment experience evolves over time.
PATIENT SAFETY & TRUST
Patient trust is designed into the system.
Patient-facing AI requires rigor across the full care experience. NuVee evaluates safety across recognition, escalation, and follow-through so that important signals are handled consistently and appropriately.
Medication-specific grounding
Clinical content is grounded in authoritative, medication-specific information and the exact therapy context relevant to the patient.
Safer uncertainty
When confidence is limited, Koa is designed to favor safer responses and appropriate human review.
Human escalation
Escalation pathways are integrated into the care experience when clinician involvement is appropriate.
Deployment discipline
Privacy, security, access controls, and operational readiness are treated as core product requirements.
EVIDENCE PHILOSOPHY
Designed for measurable outcomes.
NuVee distinguishes engagement, reliability, safety, treatment persistence, and clinical outcomes so that each claim is supported by the right evidence.
Engagement ≠ persistenceUse and conversation do not automatically prove treatment continuation.
Feasibility ≠ outcome proofShort tests can validate usability and workflow, but not longer-term clinical outcomes.
Safety is validated function by functionDetection, confirmation, escalation, handoff, and follow-through each need independent and end-to-end evidence.
THE TEAM
Clinical judgment translated into a working care system.
NuVee is intentionally building a small, cross-functional team where clinical and engineering decisions are made together.
JL
Jennie Luna, MD, MHA, DABOM
Founder & CEO · Clinical Leadership
Endocrinologist and obesity medicine physician. Leads Koa’s clinical design, safety philosophy, and evidence strategy.
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Lucas Myers
Co-Founder & CTO
Leads product and engineering, translating clinical requirements into the architecture and systems behind Koa.
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Andrew Jay
Founding Engineer
Builds core product, AI, and backend systems that support Koa’s longitudinal patient experience.
OUR ORIGIN
At the intersection of clinical medicine and translational innovation.
NuVee’s early development was shaped through work connected with San Diego State University and Scripps Research Translational Institute. NuVee now operates independently, carrying forward a simple premise: the most useful health AI will be built around real care workflows, measurable outcomes, and patient trust.
PARTNERSHIPS
Exploring GLP-1 care, persistence, or evidence generation?
We’re interested in working with organizations that want to evaluate what better longitudinal support can change.
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