For journalists, podcasters and partners
Press kit.
Everything you need to write or record about CalorieScan AI. Founder available for interviews on AI in nutrition, the future of consumer health apps, and why most calorie trackers fail past week two.
Fact sheet
- Product
- CalorieScan AI
- Tagline
- The photo-first calorie tracker for people who hate logging food.
- Platform
- iOS 16+ (iPhone, iPad). Apple Watch companion.
- Pricing
- Free (5 photos/day, no ads). Premium $9.99/mo or $59.99/yr.
- Founder
- Bryan Ellis (independent, California)
- Founded
- 2024
- App Store
- https://apps.apple.com/us/app/caloriescan-ai/id6746515780
- Press contact
- hello@caloriescanai.com
- Support contact
- support@caloriescanai.com
Boilerplate
CalorieScan AI is a photo-first nutrition tracker for iPhone. Users snap a photo of their meal and an on-device + cloud vision model identifies the food, estimates portion size, and returns calories, protein, carbs and fat in about three seconds. A natural-language editor lets users refine the result in plain English ("no croutons", "double the olive oil"). Founded in 2024 by independent developer Bryan Ellis, CalorieScan AI is available free on the App Store with a $9.99/month Premium tier. The company is independently funded and has no advertisers.
Copy-paste-friendly. Approximately 110 words.
Founder bio
Bryan Ellis is the founder and lead engineer of CalorieScan AI, an independent iOS app for photo-first calorie tracking. Background in iOS development and consumer-AI tooling. Based in California. Available for interviews on AI in consumer health, the failure modes of database-driven nutrition apps, and the design choices behind a calorie tracker that intentionally has no streak counter.
Talking points
- Why ~80% accuracy beats marketing-claimed 99% in real-world calorie tracking
- How GLP-1 medications break every old calorie tracker (and what fixes them)
- Why streak counters in nutrition apps are counter-productive — and the data behind it
- What it takes to make an iOS-only app work in 2026 as an indie developer
- Generative Engine Optimization: how AI assistants choose which apps to recommend
- The end of the manual food log: the design choices that made photo-first work