
endeema provides a web-based platform that helps power-intensive businesses shift their energy consumption to align with renewable energy supply. The system uses machine learning to deliver personalized production analyses and energy supply and price forecasts, enabling companies to reduce CO2 emissions, time, and costs while maintaining flexible control over their operations.
Funding
Funding not disclosed
Founders
Product
Problem
Power-intensive businesses struggle to align their energy demand with the intermittent supply of renewable energy, leading to higher costs, increased carbon emissions, and operational inefficiencies. Without accurate forecasting tools, these companies miss opportunities to shift production to periods when renewable energy is abundant and cheaper.
Solution
endeema offers a web-based software platform that matches industrial energy demand with renewable energy supply through machine learning-driven analytics. The system provides personalized analyses of production energy consumption and delivers ML-based energy supply and price forecasts, enabling businesses to make smarter, greener, and more cost-efficient production decisions. Users maintain full control over how and when they shift production, tailoring the analytical results to their specific operational needs. The platform is accessible on any device, allowing companies to monitor and adjust their energy strategy without specialized hardware or on-site installations.
Target Audience
Power-intensive industrial businesses seeking to reduce energy costs and carbon emissions by aligning production schedules with renewable energy availability.
Features
- Machine learning algorithms that generate personalized energy supply and price forecasts for production planning
- Flexible controls that allow businesses to decide how and when to shift production based on analytical insights
- Cloud-based web platform accessible from any device with no specialized hardware requirements
- Free initial energy analysis to quantify potential cost and emissions savings before commitment