Nutrino provides a HIPAA‑ and GDPR‑compliant data platform that aggregates food, nutrition, and personal health information—including over 100 wearable and medical device inputs—into a standardized API/SDK format.
Funding
$8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OGGFounders
Product
Problem
Consumers and healthcare providers lack a unified, personalized source of nutrition and health data, making it difficult to deliver accurate dietary recommendations and integrate nutrition insights with wearable or medical device data.
Solution
Nutrino offers a data platform that aggregates extensive food, nutrition, and personal health information into a standardized format accessible via API and SDK integrations. The platform powers mobile applications that enable users to log meals, automatically import data from wearables, and receive individualized nutrition recommendations based on their unique “FoodPrint.” Nutrino’s Device Hub consolidates over 100 data inputs—including activity, sleep, stress, continuous glucose, insulin, and DNA—while maintaining HIPAA and GDPR compliance. Licensed AI/ML algorithms analyze this combined dataset to generate predictive, context‑aware insights for both end‑users and enterprise partners. Custom datasets can be tailored to specific business needs, allowing partners to embed precise nutrition intelligence into their products and services.
Target Audience
Primary customers include digital health platforms, wellness and nutrition app developers, wearable and medical device manufacturers, and research organizations seeking to incorporate personalized nutrition intelligence into their services.
Features
- API and SDK access to a comprehensive, continuously updated nutrition database covering raw ingredients, packaged foods, recipes, and restaurant menus
- Mobile app toolkit for food logging, automatic wearable data import, and on‑screen personalized nutrition recommendations
- Device Hub delivering standardized ingestion of 100+ health and lifestyle data streams (e.g., activity, sleep, stress, CGM, insulin, DNA)
- In‑house AI/ML models for predictive analytics, optimization, and contextual recommendation generation based on individual FoodPrints
- Custom dataset creation and delivery, enabling partners to select specific data fields and formats for their applications
- Full compliance with HIPAA and GDPR, ensuring secure handling of protected health information across all integrations