Azumio: AI Health API and SDK Solutions
Azumio helps software companies and health services integrate AI-driven health tracking into their products. It is designed for teams building nutrition apps, health coaching tools, or clinical research platforms.
At a glance
- Category
- Healthcare
- Best for
- Software companies, Health coaching services, Clinical researchers, Health app developers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Health and Diet Coaching, Clinical Research and Trials, AI Health Assistants, Custom Health App Development
- Official website
- www.azumio.com
Azumio is a digital health provider that offers a suite of B2B API and SDK solutions designed for integration into third-party health and fitness applications. The platform focuses on AI-driven data collection, specifically regarding nutrition and chronic disease biomarkers.
For businesses, the primary tools include the Food Recognition API (Food Lens AI), which identifies dishes across multiple languages to assist with nutrition tracking. They also offer tools for diabetes management and a health data platform called Azumio 360.
The solutions are built for software developers and health-focused business owners who want to add tracking capabilities. It supports various use cases from personalized coaching to clinical data collection.
Buyers should confirm the specific technical requirements for SDK implementation and verify if the current clinical validation status of the diabetes biomarkers meets their specific regulatory or medical needs.
Key Features
Uses deep learning to identify over 5,000 dishes in more than 10 languages, providing nutrition analysis and caloric content.
Analyzes photoplethysmography (PPG) data from a smartphone camera to identify biomarkers for Type 2 diabetes.
A health data platform and dashboard that allows businesses to track customer health data via secure SDKs.
Provides tools designed to help users track blood sugar and manage A1C levels.
Offers integration options that can be tailored to the specific needs of a business's health application.
Use Cases
Integrating food recognition to collect user nutrition data for weight loss or chronic disease management.
Using APIs to support data collection to determine if a treatment or device is effective.
Adding the ability for an AI assistant to recognize and identify foods a user is eating via photos.
Building personalized health experiences using a unified dashboard and secure health data SDKs.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It uses deep learning to identify over 5,000 dishes in 10+ languages and can provide nutrition information, including macro and micro nutrients.
It is designed for software companies, health coaching services, AI assistants, and those conducting clinical trials or research.
It uses a smartphone camera to capture high time-resolution PPG signal from a person's finger and analyzes it using machine learning.
Source category: Healthcare
Source subcategory: API Development
