Shrimpl offers a data platform for aquaculture that optimizes production and manages risk through integrated analytics and a proprietary resiliency score. The platform provides real-time farm monitoring, scenario modeling, and ESG reporting, empowering producers, feed mills, and lenders with actionable insights for improved operations and financial inclusion.
Funding
Funding not disclosed
Founders
Product
Problem
The aquaculture industry faces challenges in optimizing production, managing risks, and securing financial backing due to fragmented data and a lack of standardized risk assessment tools. This leads to inefficiencies, increased operational costs, and limited access to capital for producers, feed mills, and lenders.
Solution
Shrimpl provides a comprehensive data platform designed to address these challenges within the aquaculture sector. The platform integrates diverse data streams to offer actionable insights for production optimization and robust risk management solutions. By leveraging advanced analytics and proprietary scoring systems, Shrimpl empowers producers to enhance operational control and sustainability. It also facilitates financial inclusion by providing lenders with reliable data for risk assessment and enabling feed mills to improve client performance and access sustainable finance.
Target Audience
Shrimpl serves producers, feed mills, banks, private lenders, and insurance companies operating within the global aquaculture industry.
Features
- **Shrimpl Resiliency Score (SRS):** A proprietary rating system analyzing over 400 data points to assess risk and resilience for shrimp producers, going beyond traditional credit scoring.
- **Shrimpl SatEye:** Utilizes high-resolution satellite imagery and AI to provide real-time monitoring of shrimp farms, enabling analysis of water quality, biomass, operational intelligence, carbon footprint, and asset tracking.
- **Integrated ERP Solution:** A SaaS platform tailored for aquaculture, incorporating AI and stochastic modeling for holistic management of operations, including genetics, feed, water quality, and financial data.
- **Automated Data Collection & Analysis:** Gathers data from various sources (sensors, hardware, manual input, financial records) and processes it through optimization models and analytics for real-time insights.
- **Scenario Modeling & Planning:** Tools to simulate future cycles, cash flows, and the impact of events like disease or price changes on financial performance.
- **Cross-Industry Connectivity:** Facilitates data sharing and collaboration with stakeholders including feed mills, lenders, insurance companies, buyers, and processors.
- **ESG Reporting Capabilities:** Models carbon footprint to support investors in making informed Environmental, Social, and Governance (ESG) calculations.