Kerith provides a cloud-based energy decision management tool that utilizes artificial intelligence algorithms to optimize energy system components, including generation, storage, and efficiency measures. The platform enables companies to identify cost-saving opportunities, manage risks, and develop clear decarbonization strategies, ultimately enhancing their energy resilience and sustainability goals.
Funding
Funding not disclosed
Founders
Product
Problem
Many companies struggle to effectively manage their energy consumption across various systems, including generation, storage, and efficiency measures, leading to increased costs, supply risks, and difficulty in achieving sustainability goals. They lack a holistic view of their energy infrastructure and the ability to make informed decisions about optimizing their energy strategy.
Solution
Kerith provides a cloud-based Energy Decision Manager that uses artificial intelligence to provide companies with a comprehensive command center for their energy strategy. The platform identifies energy cost-saving opportunities, assesses risk-bearing capacity, and maps a clear decarbonization path, including component-specific measures to realize carbon neutrality. Kerith's software evaluates infrastructure expansion and retirement on a system component level, considering every kind of energy generation and conversion possible, including electricity, heating, cooling, compressed air, and even chemicals. The algorithms forecast the operation, including ramping, operating times and more.
Target Audience
Kerith targets CFOs, CEOs, and CSOs seeking to optimize energy costs, achieve resilience goals, and realize emission goals across one or multiple facilities.
Features
- AI-driven identification of energy cost-saving potentials and suggested measures
- Risk management tools to determine a company's risk-bearing capacity and necessary risk mitigation
- Decarbonization path planning with cost analysis and component-specific measures
- Assessment of energy generation, storage, and efficiency measures across electricity, heat, cooling, and more
- Evaluation of Power Purchase Agreements (PPAs) and market trading opportunities
- Peak-shaving optimization to reduce energy tariffs
- Forecasting of short-term and seasonal storage, considering physical and cyclic aging processes
- Modeling of heat integration and other efficiency measures