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  • Aquaculture-specific SaaS ERP with AI and stochastic modelling capabilities for holistic management and control of operations.
  • Centralised security and encryption ensure data safekeeping and operational control through configurable access.
  • Hardware and data source agnostic, all data is centralised and harmonised for ultimate insights in real-time.
  • Utilise remote and close sensing to provide dynamic, up-to-the-minute data insights.
  • Real-time tracking of biological growth through field observations, Shrimpl modelling, satellite intelligence, and dynamic modelling of both biological and financial performance.
  • Employs scenario modelling to anticipate and analyse potential environmental, disease, or market events and their financial implications.
  • Efficient and detailed asset management, including oversight of hardware assets and farm inventory, suitable for integration with both current and new systems.
  • Precise modelling of operational inputs to optimise resource allocation and maximise return on investment (ROI).
  • Cross-asset management optimisation explicitly designed for vertically integrated enterprises, enhancing overall operational efficiency.
  • Future-proof automation-ready integration platform for all industry hardware, such as IoT devices, drones, and automation platforms, coupled with staff planning, task allocation, tracking, and review systems to streamline farming operations.
  • Enhanced capabilities for daily satellite remote sensing and monitoring, providing vital diagnostics for improved management.
  • Comprehensive climate analysis tools designed to forecast and manage environmental impacts on production, ensuring proactive adaptation and sustainability.
  • Utilises advanced tools for meticulous production cycle planning and scenario modelling to enhance efficiency.
  • Integrates leading biological and economic models for accurate logistics planning, input forecasting, and assessing biological and financial performance.
  • Indentify insights to optimise production schedules and resource use, ensuring maximum productivity.
  • Professional bioeconomic modelling delivers precise insights into growth, environmental conditions, and operational efficiency, supplemented by financial forecasting and detailed operational reporting to guide strategic decisions.
  • Automated reporting and data-driven decision-making tools enable continuous operational optimisation.
  • Advanced PCR and RNA disease warning systems can proactively identify and manage potential disease issues up to 30 days in advance.

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