Product

Our Products

Essos

Logistics Management Software for the Offshore Industry

Essos is a comprehensive logistics management platform that streamlines offshore vessel operations. It simplifies vessel scheduling, load optimization, and real-time tracking, ensuring seamless coordination across complex offshore campaigns. With role-based access control and advanced reporting capabilities, Essos enables efficient monitoring and management of resources. Its intuitive dashboards provide stakeholders with a clear view of vessel movements, operational metrics, and material usage.

Essos leverages AI to optimize vessel scheduling by analyzing historical data, operational constraints, and weather forecasts. Machine learning algorithms continuously learn from operational data to predict potential delays, suggest optimal material loading configurations, and enhance fuel efficiency. The platform also uses real-time anomaly detection to identify and address operational risks before they escalate, making offshore logistics smarter and more reliable.

Manins

Supply Chain Management Software for the Offshore Industry

Manins is a robust supply chain management solution designed for the offshore industry. It provides tools to efficiently manage procurement, inventory, and materials, ensuring timely delivery of resources to offshore sites. Its centralized dashboard offers real-time visibility into supply chain operations, while automated workflows streamline procurement processes and reduce administrative overhead.

Powered by AI, Manins uses predictive analytics to anticipate supply chain disruptions, such as material shortages or delivery delays, by analyzing historical and real-time data.

Machine learning algorithms optimize inventory levels by balancing supply and demand, minimizing costs while ensuring operational readiness. The platform also uses NLP to improve supplier communication by extracting actionable insights from unstructured data like email correspondence or contracts. These AI-driven capabilities make Manins a powerful tool for creating agile and resilient supply chains.

SDLR

Scheduler for Managing Offshore Operations

Sdlr is a powerful scheduling tool designed to simplify the planning and execution of offshore operations. It enables seamless coordination of crew shifts, equipment usage, and task timelines. Its intuitive interface allows managers to create and modify schedules effortlessly, while real-time notifications ensure that all stakeholders remain informed about changes and updates.

Sdlr incorporates AI-powered algorithms to predict and resolve scheduling conflicts by analyzing operational dependencies and resource availability. Machine learning continuously improves scheduling accuracy by learning from past operations and adapting to changing conditions. The platform also offers predictive insights into potential delays and provides recommendations to mitigate risks, ensuring smooth execution of offshore campaigns. These advanced features enhance operational efficiency and reduce downtime.

EMITRAC

Emissions Tracking Software Focused on Scope-3 Emissions

EMITRAC is a specialized emissions tracking platform that monitors and quantifies Scope-3 emissions across the lifecycle of offshore operations. It provides comprehensive ESG reporting capabilities and ensures compliance with international sustainability standards. The platform’s user-friendly dashboards and detailed reports offer clear visibility into emissions data, helping organizations align with their sustainability goals.

EMITRAC employs AI and ML models to accurately track and forecast emissions by analyzing operational and supply chain data. Its algorithms provide actionable recommendations for reducing emissions, such as optimizing fuel usage or selecting low-emission suppliers. The platform uses NLP to analyze regulatory documents and ensure compliance with ESG standards. With its AI-enhanced capabilities, Emitrac transforms emissions data into insights, empowering operators to achieve sustainability targets with precision and transparency.

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