Products

SNAQ MCP
SNAQ
Developer Tools & APIs
SNAQ MCP Server is a secure connection that lets AI assistants like ChatGPT, Claude, Gemini, Mistral, and Perplexity work with your SNAQ diabetes data. Once connected, you can ask about your glucose curves and patterns, log meals and insulin by chat, and get SNAQ's insights in plain language, all from inside the assistant you already use.

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About SNAQ

SNAQ is a healthcare AI company that has developed an AI-powered nutrition app designed to assist individuals in managing their metabolic health, particularly those with diabetes (Type 1, Type 2, gestational), prediabetes, and GLP-1 users. The core functionality revolves around its patented food recognition technology, which allows users to simply take a photo of their meal to receive an instant breakdown of calories, carbohydrates, protein, and fat. This eliminates the need for manual food entry and aims to reduce the significant errors often associated with self-estimated carb counting. The app integrates with continuous glucose monitors (CGMs) like Dexcom and FreeStyle Libre, overlaying meal data onto glucose curves to help users understand the direct impact of their food choices on blood sugar levels.

Beyond basic tracking, SNAQ offers an “AI Nutritionist” that provides personalized, proactive coaching and insights. This includes predicting glucose responses to meals before consumption, detecting patterns in glucose data over time, offering meal timing intelligence, and providing meal planning support based on individual history and goals. The company emphasizes its clinical validation, citing a randomized controlled trial published in eClinicalMedicine (The Lancet) in 2025, which demonstrated a 38% reduction in carb estimation errors and a 6.6% improvement in Time in Range for adults with Type 1 diabetes. SNAQ also offers a platform called SNAQ Care, which extends continuous, AI-guided nutrition support to patients between appointments and provides actionable summaries for healthcare teams, including endocrinologists, dietitians, and diabetes educators.

Focus Areas

AI-powered nutrition diabetes management food recognition carbohydrate counting glucose monitoring metabolic health digital health

Business Intelligence

Key InvestorsMarcaro, Serpentine Ventures, Venture Kick
PartnershipsAscensia Diabetes Care, Dexcom, CarbVis, Innovation Zed, Cigna
AcquisitionsCarbVis AG (integrated into SNAQ AG)
TechnologyAI-powered meal recognition (computer vision, 3D models), cloud-native, integrates with CGMs (Dexcom, FreeStyle Libre, Eversense) and health platforms (Apple Health, Google Health Connect)

What Physicians Need to Know

AI-Powered Food Recognition & Carb Counting
SNAQ utilizes patented AI to analyze meal photos, identifying ingredients, estimating portion sizes, and providing carbohydrate, protein, fat, and calorie counts in seconds. This significantly reduces carb estimation errors compared to manual counting.
Glucose Monitoring & Metabolic Health Integration
The platform integrates with major Continuous Glucose Monitors (CGMs) like Dexcom and FreeStyle Libre, overlaying meal data onto glucose curves. This allows users to visualize the impact of specific meals on their glucose levels and understand personal metabolic patterns. SNAQ also works for individuals without a CGM, tracking meal and nutrition patterns.
Personalized AI Nutritionist Coach
SNAQ offers an AI Nutritionist coach that provides chat-style suggestions and proactive, personalized insights based on recent food logs and glucose responses. It helps users understand patterns and make informed dietary choices.
Clinically Validated Outcomes
SNAQ is the only consumer nutrition app with published clinical evidence, including a randomized controlled trial (RCT) showing a 6.6% improvement in Time in Range and a 38% reduction in carb estimation errors for individuals with Type 1 Diabetes.
Comprehensive Food Logging Options
Beyond photo recognition, SNAQ offers barcode scanning, nutrition label scanning, voice logging, and quick add features for various meal types. All AI estimates are editable, allowing users to maintain control.
Physician Tip

For physicians, SNAQ offers a powerful tool to gain real-time insights into patient nutrition and glucose responses between appointments. The HCP-ready reports, including PDF or spreadsheet exports of meals, glucose, and trends, can facilitate more informed clinical conversations and interventions. The photo-verified meal entries and macro-level breakdowns provide objective data, moving beyond self-reported meal recall. The AI-generated weekly summaries can highlight patient patterns, such as consistent under-protein intake, enabling targeted guidance. SNAQ's clinical validation and integration with popular CGMs make it a reliable adjunct for managing Type 1, Type 2, and pre-diabetes, as well as for patients on GLP-1 medications.

SNAQ integrates seamlessly with a wide range of popular glucose sensors and diabetes apps, including Dexcom (G6, G7, ONE+), FreeStyle Libre (2, 3, 14-day), Abbott LibreView, Medtronic CareLink, mySugr, Sugarmate, Tidepool, and Ascensia Diabetes Care. It also connects with Apple Health and Google Health Connect for reading glucose, insulin, and activity data, and writing carbohydrate, fat, and protein values. The connection typically occurs through each maker's cloud or the phone's health platform, ensuring automatic data synchronization.

Products by SNAQ

1 product in the directory

SNAQ MCP
SNAQ
Developer Tools & APIs
SNAQ MCP Server is a secure connection that lets AI assistants like ChatGPT, Claude, Gemini, Mistral, and Perplexity work with your SNAQ diabetes data. Once connected, you can ask about your glucose curves and patterns, log meals and insulin by chat, and get SNAQ's insights in plain language, all from inside the assistant you already use.

What the Web Says

SNAQ (snaq.io) is a diabetes management app that utilizes AI to estimate carbohydrate, fat, and protein content from food photos, aiming to simplify meal tracking and improve glucose control for individuals with diabetes. The app integrates with Continuous Glucose Monitoring (CGM) and Blood Glucose Monitoring (BGM) devices, providing insights into how meals affect blood sugar levels and offering features like post-meal glucose reports and pattern detection. While some users praise its ability to improve A1c and provide valuable insights, others express significant concerns about the accuracy of its AI-powered carb counting and its high subscription cost.

Overall: Mixed

Strengths

  • AI-powered meal recognition for easier carb counting.
  • Seamless integration with CGM and BGM devices.
  • Provides insights into post-meal glucose responses and Time-in-Range.
  • Helped some users significantly improve their A1c.
  • Offers a dedicated platform for healthcare providers for collaborative care.
  • Excellent customer service.

Limitations

  • AI carb counting can be wildly inaccurate and inconsistent.
  • High annual subscription cost.
  • Struggles with food identification and portion sizes.
  • US-centric food database, leading to unrecognised foods in other regions (e.g., UK).
  • Barcode recognition feature is not easily accessible or consistently functional.
  • App explicitly states it should not be used for insulin dosing or clinical decisions.

Based on reviews from: Reddit, Diabettech, Apple App Store, Secret Design, LLC, SNAQ Website

Last updated: 2026-08-07

Videos

News, demos, and interviews about SNAQ.

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Press & Coverage

Diabetes Center Berne
SNAQ Launches the First AI Nutritionist for CGM Users Managing Diabetes
SNAQ has launched its AI Nutritionist, a digital companion providing personalized, real-time nutrition guidance for people with diabetes, integrating meal analysis, glucose data, insulin, and activity tracking. The platform is built on clinically validated meal recognition technology and supported by randomized-controlled evidence showing improved glycemic outcomes.
2026-03
Trending Now Biotech
SNAQ Launches Groundbreaking AI-Powered Meal Glucose Prediction Feature & Closes Financing Round Led by the Diabetes Venture Fund
SNAQ announced the launch of its AI-powered meal glucose prediction feature, which provides personalized glucose response predictions for CGM users before meals. The company also closed a financing round led by the Diabetes Venture Fund at Serpentine Ventures, securing resources to scale innovations in diabetes management.
2025-03
eClinicalMedicine (via PMC)
App-based automated meal analysis in adults with type 1 diabetes using automated insulin delivery: a randomized controlled trial
A randomized controlled trial found that short-term use of the SNAQ app improved glucose control in adults with type 1 diabetes using automated insulin delivery systems. SNAQ, an image-based automated meal analysis app, improved Time in Range by 6.6 percentage points over three weeks.
2025-10
Journal of Diabetes Science and Technology
Carbohydrate Estimation Accuracy of Two Commercially Available Smartphone Applications vs Estimation by Individuals With Type 1 Diabetes: A Comparative Study
This study compared carbohydrate estimation accuracy of SNAQ and Calorie Mama apps against estimates by individuals with Type 1 Diabetes, concluding that SNAQ provided more accurate meal carbohydrate content estimations. SNAQ's volumetric technology was validated with a mean absolute carb error of 5.5g.
2024-07
T1D Exchange
SNAQ App Uses AI to Simplify Meals With Type 1 Diabetes
The SNAQ app helps users with Type 1 Diabetes estimate macronutrients from meal photos and connects this data with CGMs and insulin pumps, offering insights into how meals affect glucose levels. The company has conducted peer-reviewed accuracy studies and randomized controlled trials, with approximately 250,000 users since its US launch in 2022.
2026-03
Diabetes Technology Report (Podcast)
Diabetes Technology Starts: Aurelian Briner from SNAQ on AI-Powered Food Logging for Diabetes
SNAQ founder Aurelian Briner discusses the use of AI meal photos, CGM integrations, and targeted insights to simplify mealtime decisions for people with diabetes. The podcast highlights how SNAQ's technology helps users understand the impact of food on their glucose levels.
2026-01
SNAQ Press Release
Swiss Diabetes Platforms SNAQ and CarbVis Join Forces to Better Estimate Carbohydrates in Meals
SNAQ and CarbVis AG announced their merger, combining CarbVis's MDD-certified medical device technology with SNAQ's market presence to accelerate the delivery of an insulin dosing solution to European and US markets.
2023-10
PRNewswire (via SNAQ)
Ascensia Diabetes Care Collaborates with SNAQ to Support Mealtime Decision-Making for People with Diabetes
Ascensia Diabetes Care and SNAQ formed a global collaboration to integrate SNAQ with Ascensia's CONTOUR BGM portfolio. This partnership enables users of the blood glucose monitoring system to make data-driven decisions about food and nutrition using SNAQ's photo-based meal analysis.
2023-02

Frequently Asked Questions

SNAQ's AI-powered platform provides continuous, AI-guided nutrition support for patients between appointments, offering real-time visibility into their nutrition for endocrinologists, dietitians, and diabetes educators. It uses photo recognition to identify food, estimate macronutrients (carbs, protein, fat, fiber, calories), and then overlays this with glucose data from connected Continuous Glucose Monitors (CGMs) or blood glucose meters to show how meals affect blood sugar.
SNAQ's core product is an AI nutritionist app that uses photo recognition to estimate carbohydrates, protein, fat, fiber, and calories from a meal in seconds. It integrates with various CGMs like Dexcom and FreeStyle Libre, as well as blood glucose meters and insulin data sources, to link meal logs directly with glucose responses. The app also features an AI Coach that provides personalized insights and meal suggestions based on individual metabolic patterns and historical data.
SNAQ is backed by published clinical evidence, including peer-reviewed accuracy studies on portion estimation and randomized controlled trials (RCTs) demonstrating improved glycemic outcomes. One RCT showed a 6.6% improvement in Time in Range and a 38% reduction in carbohydrate estimation errors compared to self-estimates.
SNAQ is a health and wellness app, not a regulated medical device or clinical decision-support tool, and should not be used to calculate insulin doses. The carb estimates can inform mealtime decisions, but insulin dosing should follow a healthcare provider's plan. SNAQ's exportable reports are designed for review with a doctor, diabetes educator, or dietitian.
SNAQ offers a 'SNAQ Care' provider account that is free to set up with no patient minimum. For patients, SNAQ Premium is available through auto-renewing subscriptions, with pricing scaling based on commitment (e.g., $2.66/month on a 3-year plan). SNAQ Premium is HSA/FSA eligible for qualifying customers, with a Letter of Medical Necessity available through their partner Flex after a brief telehealth consultation.
SNAQ Care provides clinical nutrition intelligence for healthcare teams, offering actionable summaries and continuous AI-guided nutrition support for patients between appointments. Healthcare professionals can create a free provider account or request a demo. Patients can access an 'AI Nutritionist' chat for personalized coaching and support.
SNAQ has established partnerships with key players in the diabetes care industry, including integrations with Dexcom and FreeStyle Libre, and collaborations with Ascensia Diabetes Care (makers of CONTOUR BGM and Eversense CGM systems). The company has also secured funding rounds, including one led by Serpentine Ventures' Diabetes Venture Fund, which helps secure its path to breakeven. These partnerships and funding indicate a growing presence and confidence in SNAQ's solutions within the digital health and diabetes management landscape.

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