Grevi offers a free web‑based Content Screener that lets parents search any show, game, or app and instantly see a digital nutrition label with safety ratings, addiction scores, emotional tone, and age suitability. The platform personalizes these scores to a child’s age, temperament and sensitivity, creating dynamic watchlists and recommendations that evolve as the child grows. Users can also browse curated collections and community‑vetted picks for quick, data‑driven decisions about screen time.
Funding
Funding not disclosed
Founders
Product
Problem
Parents often lack clear information about how the media their children consume—shows, games, and apps—affects development, leading to uncertainty about screen time safety and suitability.
Solution
Grevi provides a free, web‑based Content Screener that lets caregivers search any digital entertainment and receive a “digital nutrition label” with safety ratings, addiction scores, emotional tone, and age appropriateness. The platform personalizes these scores based on a child’s age, temperament, and sensitivity, generating watchlists and recommendations that evolve as the child grows. Users can also browse curated lists and community‑vetted picks to discover content aligned with their family’s values. By presenting concise, data‑driven insights, Grevi helps families make informed decisions about screen consumption without extensive research.
Target Audience
Grevi is aimed at parents, guardians, and caregivers seeking reliable, personalized guidance on children’s media consumption.
Features
- Search any show, game, or app and instantly view a standardized digital nutrition label
- Safety ratings covering addiction potential, emotional tone, and age suitability
- Personalized scoring that matches content to a child’s age, temperament, and sensitivity profile
- Dynamic watchlists and content recommendations that adapt as the child develops
- Curated collections (e.g., “Best for 3‑5 yo boys”) and community‑trusted picks for quick discovery
- Free access for all users with optional member‑only deeper personalization