Diabetes decisions with reasons, not guesses.

NexDoz is a personal diabetes-insights platform for people with diabetes and the care teams around them. It pulls glucose, meals, insulin, medication, activity, and sleep into one picture. Every recommendation comes with a reason, a confidence score, and safety checks. Aligned with DSMES principles and ADA Standards of Care. Deliberately not a medical device: NexDoz supports decisions, it does not prescribe.

Explainable next stepReason, confidence score, and source context travel together.
Seven device integrationsDexcom, FreeStyle Libre, Withings, Oura, Whoop, Fitbit, and Polar — with automatic connection detection.
Tiered multi-provider AIRouted across Gemini, OpenAI, Anthropic, and Groq, with circuit-breaker fallback.

Join the TestFlight beta →Visit nexdoz.com →

What it does

Track. Explain. Recommend. Follow up.

Patient timeline

Glucose, meals, insulin, medication, activity, sleep, and symptoms on one timeline. Smart nudges that respect attention rather than chase engagement. No streak gimmicks. Web dashboard, insights, and care plans in English, German, and French.

Clinic and clinician areas

Dedicated areas for clinics and clinicians in the web app, with summary views built for the consultation — not a marketing dashboard. On the roadmap: clinician PDF export, FHIR export, and outcome scorecards such as time-in-range trend.

Explainable AI

Every recommendation includes the reasoning, a confidence score, and safety checks. The AI is routed across four providers — Gemini, OpenAI, Anthropic, Groq — by subscription tier, with a database-driven policy and circuit-breaker fallback. Aligned with DSMES principles and ADA Standards of Care.

Meal AI

Photograph a meal or describe it in a sentence. Meal AI turns it into structured meal data on the timeline — no manual food logging.

Who it’s for

Patients living with diabetes. Clinicians who care for them.

People with diabetesType 1, type 2, and gestational. Tools designed for daily real life, not clinical-trial conditions.
Diabetes care teamsEndocrinologists, diabetes educators, and primary-care clinicians who need patient summaries optimised for the consultation, not the screen.

References

HL7 FHIR — health-data interoperability standardPlanned export format — the roadmap target so records can move cleanly into clinical systems.
ADA Standards of Care in DiabetesAmerican Diabetes Association — the clinical guidance NexDoz recommendations are built on.
CDC — Diabetes Self-Management Education & Support (DSMES)The DSMES principles that shape the patient-education model.

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