Terrantic provides an AI-powered operations platform that integrates with existing food processing systems to optimize planning and execution. The platform utilizes specialized AI agents to manage demand sensing, dynamic allocation, production scheduling, and line optimization across produce, dairy, frozen, and protein sectors. This solution aims to increase throughput and generate annual savings by automating complex scheduling decisions and providing real-time operational intelligence.
Funding
$4.5M 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
Food supply chains face challenges in centralizing operational data from disparate sources like ERPs, machines, and sensors. This lack of integration leads to fragmented visibility, hindering real-time decision-making and efficient automation across growing, packing, processing, and distribution stages. The inability to effectively manage input variability, labor costs, and traceability impacts profitability and operational efficiency.
Solution
Terrantic offers a data integration platform designed to centralize operational data from across the food supply chain, providing real-time visibility and automation. The platform connects to ERPs, machines, and sensors, creating a unified data foundation. Leveraging advanced algorithms and AI, Terrantic's intelligence engine optimizes production scheduling, labor allocation, and inventory management. This enables food businesses to tackle challenges related to input variability, labor costs, lot traceability, and accounting, leading to improved efficiency and cost-effectiveness. The platform's open ecosystem allows integration with existing tools through ready-made connectors and partner solutions.
Target Audience
Terrantic primarily serves growers, packhouses, processors, and distributors within the food industry, as well as agricultural investors seeking to optimize their supply chain operations.
Features
- Seamless data connectivity to pull data from ERPs, machines, and sensors
- AI-driven algorithms for intelligent decision-making, considering various operational variables
- Automated workflows for data extraction from legacy systems and generating forecasts
- Dynamic balancing of production lines based on real-time data
- Predictive maintenance to minimize downtime
- AI-driven demand forecasting to optimize stock levels across locations
- Automated HACCP monitoring and documentation for food safety compliance
- End-to-end supply chain tracking for real-time insights on product location and condition