Kikleo utilizes AI-powered cameras and connected scales to analyze food waste in restaurants, identifying and quantifying uneaten food on plates and in kitchens. This technology enables establishments to reduce food waste by up to 20%, resulting in significant cost savings and a lower environmental impact.
Funding
$1.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AGOFounders
Product
Problem
Restaurants and institutional food service providers often lack detailed, real-time data on food waste, making it difficult to identify specific areas for improvement and implement effective waste reduction strategies. Manual waste tracking methods are labor-intensive, prone to inaccuracies, and fail to provide actionable insights into consumption patterns.
Solution
Kikleo offers an AI-powered food waste analysis system that automatically identifies, quantifies, and tracks discarded food in both dining areas and kitchens. The system uses a camera-based solution to analyze food left on plates and connected scales to monitor kitchen waste. Data is aggregated on a centralized platform, providing restaurants with real-time insights into waste trends, cost implications, and environmental impact. This enables targeted interventions to reduce waste, optimize purchasing, and improve menu planning.
Target Audience
Kikleo targets restaurants, school and university cafeterias, corporate dining facilities, hospitals, and hotels seeking to reduce food waste and improve sustainability.
Features
- AI-powered camera system that detects, identifies, and estimates the quantity of food waste on plates and trays.
- Connected scales that automate and digitize the weighing process in the kitchen, differentiating between food types.
- Plug-and-play installation for easy setup on conveyor belts or sorting tables.
- Centralized platform providing real-time monitoring of food waste, cost analysis, and environmental impact tracking.
- Customizable dashboards with actionable insights for waste reduction strategies.
- Automated data collection and analysis, eliminating the need for manual tracking.
- Integration of camera and scale data for a comprehensive view of food waste across the entire operation.