SNAQ provides a mobile app that uses computer vision to analyze food photos, helping individuals with diabetes accurately estimate carbohydrate intake for insulin dosing. The app integrates with continuous glucose monitors and insulin pumps, offering personalized insights to improve glycemic control.
Funding
$10.1K 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.
Founders
Product
Problem
Individuals with diabetes often struggle to accurately estimate carbohydrate intake, which is crucial for proper insulin dosing and maintaining glycemic control. Traditional methods of carb counting can be time-consuming, subjective, and prone to error, leading to suboptimal diabetes management.
Solution
SNAQ is a mobile application that leverages computer vision technology to simplify and improve carbohydrate estimation for individuals with diabetes. By analyzing photos of meals, SNAQ provides users with detailed nutritional information, including carbohydrate, protein, and fat content. The app integrates with continuous glucose monitors (CGMs) and insulin pens/pumps to offer personalized insights into how specific foods impact glucose levels, facilitating more informed decisions about insulin dosage and dietary choices. SNAQ aims to reduce the guesswork associated with meal planning and empower users to achieve better glycemic control through data-driven insights.
Target Audience
The primary target audience includes individuals with type 1 and type 2 diabetes who actively manage their carbohydrate intake for insulin dosing, as well as healthcare professionals such as diabetes educators, endocrinologists, and registered dietitians.
Features
- Image-based food analysis using computer vision to estimate nutritional values
- Integration with Dexcom, FreeStyle Libre, and Contour CGMs for seamless data connectivity
- Compatibility with InPen smart insulin pens (US only)
- Personalized insights on the impact of meals on glucose levels
- Tracking of carbohydrate, protein, and fat content in meals
- Digital food diary to log meals and track glucose responses over time
- Provider platform for healthcare professionals to monitor patient data and collaborate on treatment plans