The startup offers a data analytics platform that aggregates real-time information from multiple sources to enhance resource sharing among aquaculture farms. This enables farmers to make timely, cost-effective decisions that improve operational efficiency and productivity in the aquaculture industry.
Funding
$900K 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
Aquaculture farms often struggle with making informed decisions due to fragmented data sources and a lack of real-time insights into fish health, disease outbreaks, and operational inefficiencies. This can lead to increased costs, higher mortality rates, and difficulty in optimizing product performance.
Solution
Manolin provides an aquaculture data intelligence platform that aggregates and analyzes data from various sources to deliver actionable insights and predictive intelligence for both aquaculture farms and suppliers. The platform uses AI-driven models and population-level data tracing to forecast fish health risks, optimize treatment strategies, and improve overall farm management. For suppliers, Manolin accelerates product validation, streamlines in-field trials, and provides comprehensive market insights to refine product development and improve customer support. By centralizing and cleaning data, Manolin enables users to make data-driven decisions that enhance operational efficiency, reduce risks, and promote sustainable growth in the aquaculture industry.
Target Audience
Manolin's primary customers include aquaculture farms seeking to improve fish health and operational efficiency, as well as aquaculture suppliers aiming to accelerate product validation and gain market insights.
Features
- AI-driven predictive models for forecasting fish health risks, including disease and sea lice outbreaks
- Real-time monitoring of key performance indicators (KPIs) such as growth, mortality, and feed efficiency
- Benchmarking tools to compare performance across different farm sites and regions
- Treatment forecasting and scoring to predict the effectiveness of various treatment options
- Population-level data tracing for granular analysis of fish health and performance
- Automated data cleaning and validation processes to ensure data accuracy and reliability
- Customizable dashboards and reporting tools for visualizing key insights and trends
- API access for seamless integration with existing farm management systems