TeleSense offers an IoT-based platform for continuous, real-time monitoring of grain and potato storage conditions. Its sensors track temperature, humidity, and CO2, providing data-driven insights to minimize spoilage and optimize storage management.
Funding
$10.2M 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.
FVFounders
Product
Problem
Managing the quality of stored commodities like grain and potatoes is challenging due to factors such as moisture, mold, and insects, which can lead to spoilage and reduced profitability. Traditional methods, including manual inspections and basic temperature cables, are often labor-intensive, time-consuming, and lack the granular data needed for proactive management.
Solution
TeleSense provides an IoT-based monitoring platform that leverages advanced sensors and data science to continuously track critical storage conditions for grains, potatoes, and seeds. Our proprietary sensors collect real-time data on temperature, relative humidity (RH), and carbon dioxide levels, transmitting this information to our cloud-based software. Through sophisticated data analytics, the platform generates actionable insights and predictive recommendations, enabling storage managers to optimize storage life, minimize spoilage, and make informed decisions regarding ventilation and sales timing. This approach reduces manual effort and provides remote access to vital storage metrics via any internet-connected device.
Target Audience
The primary target audience includes farmers, agricultural cooperatives, and commercial grain elevators and storage managers responsible for maintaining the quality and maximizing the profitability of stored commodities.
Features
- Continuous, real-time monitoring of temperature, relative humidity (RH), and carbon dioxide levels within storage facilities.
- IoT sensor network designed for deployment in grain, potato, and seed storage environments.
- Cloud-based data aggregation and analytics engine for generating commodity-specific insights.
- Predictive modeling to forecast spoilage risk and recommend optimal storage management strategies (e.g., fan operation, ventilation timing).
- Remote access to storage data and actionable recommendations via a web-based application accessible on smartphones, tablets, and computers.
- Automated alert system for critical deviations in storage parameters, facilitating proactive issue resolution.
- Support for a wide range of commodities including corn, soybeans, wheat, sorghum, canola, barley, potatoes, and seeds.