Skonelabs provides an end-to-end quality monitoring service utilizing a smart AI layer to transform sensor data into actionable insights. This platform integrates various IoT sensors to monitor conditions like temperature and humidity, enabling predictive maintenance and risk anomaly detection. The service helps industries protect inventory, assure safety compliance, and optimize operational processes by delivering data-driven decision support.
Funding
$120K 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.

Founders
Product
Problem
The fresh food supply chain faces significant challenges in maintaining quality and preventing spoilage, leading to substantial food loss, reduced profit margins, and negative environmental impacts. Current monitoring methods often lack real-time visibility and predictive capabilities, hindering proactive decision-making.
Solution
SkoneLabs offers an IoT-enabled solution that utilizes smart sensors and an AI-driven analytics engine to provide real-time monitoring of fresh food quality and predict spoilage. The Octagon sensor devices continuously track temperature, humidity, and gas composition, while the Skone AI platform analyzes this data to predict shelf life, ripening, and potential spoilage. This enables stakeholders to make data-driven decisions, optimize inventory management, identify best suppliers, ensure regulatory compliance, and minimize their carbon footprint. The system provides actionable insights to increase margins, comply with regulations, and reduce CO2 emissions.
Target Audience
SkoneLabs targets farmers, wholesale suppliers, storage facilities, ripening centers, logistics and shipping companies, retail stores, and hotels and restaurants involved in the fresh food supply chain.
Features
- Octagon smart sensor devices for 24/7 monitoring of temperature, humidity, and gas composition
- Skone AI platform for predicting life expectancy, ripening, and spoilage of fresh produce
- Cloud-based data storage and secure access
- Intuitive user interface for visualizing data and insights
- Advanced food loss prediction capabilities
- Best supplier identification and compliance checking features
- Inventory management tools
- ESG performance tracking and CO2 emission estimates