Case Study

PlateMind

AI for everyday diabetes decisions

platemind.app
PlateMind logo
01

The Challenge

The problem worth solving

People living with diabetes make food decisions every day, but conventional diabetes tools often separate food information from glucose information.

  • Can I eat this meal?
  • Why did my glucose change?
  • What should I change next time?

The challenge is therefore not simply tracking glucose, but helping people understand the relationship between what they eat and what happens to their glucose.

02

The Solution

What PlateMind does

PlateMind is an AI-powered nutrition platform that helps people understand how food affects blood glucose and make better everyday decisions.

  • Meal analysis
  • Food and nutrition information
  • Carbohydrate analysis
  • Glycaemic impact information
  • Glucose tracking
  • Personalised insights
  • AI guidance
  • A virtual dietitian, Lana

PlateMind is designed around the foods people actually eat, including culturally diverse meals. The platform connects food choices and glucose patterns rather than simply tracking numbers.

03

TNN Africa's Role

What we brought to it

Clinical Nutrition·Product Strategy·Nutrition Intelligence·AI Product Development·Product Design

The project translates clinical nutrition knowledge into product logic, nutrition data structures, meal analysis and user-facing decision support.

04

What Was Innovative

Why it matters

The key innovation is connecting food intelligence with glucose intelligence. Instead of treating nutrition as a static database or glucose as an isolated number, PlateMind creates a feedback loop:

FoodNutrition AnalysisGlucosePatternInsightBetter Decision

The platform also incorporates culturally relevant food intelligence rather than designing only around generic Western food databases.

05

TNN Africa's Contribution

The capability behind the work

Clinical NutritionProduct StrategyNutrition IntelligenceAI Product DevelopmentUser ExperienceImplementation

This is what we bring to every project: clinical depth, turned into products, experiences and real-world delivery.

06

Evidence

What exists today

  • Live product in market
  • AI-powered meal analysis
  • Glucose tracking
  • Nutrition intelligence sourced from global food composition tables
  • Culturally diverse food support
  • Virtual dietitian experience
  • Product designed by clinical dietitians

Inside the Product

See PlateMind in action

The everyday dashboard: check-ins, plan usage and glucose at a glance
Meal analysis with portion guidance and carbohydrate estimates
Lana, the virtual dietitian, guiding a real meal decision

Explore

Interested in building a similar solution?

The Nutrition Network Africa

Nutrition · Technology · Innovation · Better Health

Est. 2021 · Africa · Europe

Nutritionally yours, with love ❤️