SNAQ AI Nutritionist
AI nutritionist in your pocket for diabetes and metabolic health
Software · Cloud SaaSCompany source
Company profile
About Snaq
SNAQ is a clinical-grade AI nutritionist designed for people managing diabetes, prediabetes, and metabolic health. The company has built a comprehensive nutrition intelligence platform that combines patented AI meal recognition technology with continuous glucose monitor (CGM) integration and proactive coaching. Users simply snap a photo of their meal to receive instant nutritional breakdowns including carbs, calories, protein, fat, and fiber. The platform's AI analyzes personal metabolic patterns to predict glucose responses before eating and provides data-backed recommendations for future meals. SNAQ works with or without a CGM, supporting over 20 devices including Dexcom, FreeStyle Libre, and Eversense. The company serves multiple user segments including Type 1 and Type 2 diabetes patients, prediabetes individuals, GLP-1 medication users, and healthcare providers through SNAQ Care. With over 300,000 members and 500+ clinician partners, SNAQ is the only consumer nutrition app with published clinical evidence, demonstrating a 6.6% improvement in Time in Range and 38% fewer carb estimation errors in peer-reviewed studies. The platform is HSA/FSA eligible and maintains 15x higher retention rates compared to app benchmarks.
Company description Snaq official website
Primary marketMetabolic Health & Nutrition
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint
Where the Company operates
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Clinical focus
- Gestational Diabetes
- GLP-1 medication management
- Metabolic Health
- Prediabetes
- Type 1 Diabetes
- Type 2 Diabetes
Who it serves
- CGM users
- Consumers with diabetes
- Diabetes educators
- Dietitians
- Endocrinologists
- GLP-1 medication users
- Healthcare providers
- Parents and caregivers
Deployment & integration
Cloud Saas deployment with recorded integration context.
Recorded integration context: 20+ CGMs, insulin pumps, and wearables, Apple Health, Contour, Dexcom G6, Dexcom G7, Eversense, FreeStyle Libre 2, FreeStyle Libre 3, Google Health Connect.
Geographic context
MarketsUnited States · Worldwide (300K+ members globally, diabetes application limited to US)
Company sourceOfficial website
Company milestones
Platform expansion
300,000+ members worldwide, 4.6 App Store rating with 3,000+ reviews, 4 published peer-reviewed clinical studies, partnerships with 500+ clinicians
Partnerships
Recorded partners
- 500+ clinicians and healthcare partners
- WHO
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
SNAQ Care
Real-time patient nutrition view for diabetes care teams
Platform · Cloud SaaSCompany source
03 · Research intelligence
Research Intelligence evidence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Evidence position
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Publications & preprints
No linked records are currently available.
Clinical validation
Clinical-trial records
No linked records are currently available.
Regulatory
Regulatory records
No linked records are currently available.
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
6.6% Time in Range improvement
T1D patients on AID systems in 12-week RCT
38% fewer carb estimation errors
vs manual counting in 53 T1D patients
6.3% Time Above Range reduction
Less time above 180 mg/dL
15x retention vs app benchmark
User retention compared to industry average
5.5g mean absolute carb error
Volumetric technology validation across 48 meals and 128 food items
Type 1 Diabetes patients on AID systems
Improving glucose control and Time in Range for T1D patients using automated insulin delivery systems
6.6% improvement in Time in Range over 12-week randomized controlled trial
Type 1 Diabetes patients
Improving carbohydrate estimation accuracy compared to manual self-estimates
38% fewer carbohydrate estimation errors vs. manual counting in 53 T1D patients
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Updates from Snaq
Recent articles published on Snaq's official website.
Perimenopause and Type 2 Diabetes: Why the Same Meal Stops Behaving the Same Way
Read on SnaqAdded Fiber vs Natural Fiber: Does Your Glucose Respond the Same Way?
Read on SnaqHow to Read Your Child's CGM Without Reacting to Every Number
Read on SnaqSoluble vs Insoluble Fiber: What Each Can Change About a Meal
Read on SnaqMy CGM Is Wrong? 6 Common Mismatch Scenarios Explained
Read on Snaq07 · HAIC coverage
Coverage and analysis
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Company sources and channels
Curated official destinations from the active Company record.
09 · Market pathway
Additional Companies in this Market
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Metabolic Health & Nutrition
Companies using AI to optimize metabolic health, provide personalized nutrition recommendations, or analyze metabolic responses to food for generally healthy or non-diabetic populations. Emphasizes wellness, performance optimization, and preventive health rather than management of a diagnosed disease.
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Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.