RIZM provides an algorithmic platform that integrates production, energy procurement, and infrastructure data to optimize energy systems. This enables businesses to make holistic decisions regarding energy procurement, operations, and production, leading to synergistic efficiencies.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial companies often make isolated energy decisions, overlooking potential synergies between production, energy procurement, and infrastructure. This leads to missed opportunities for significant budget and emission savings.
Solution
RIZM provides an algorithmic platform that integrates data from production, energy procurement, and infrastructure to optimize energy systems holistically. The platform enables businesses to make synergistic decisions regarding energy procurement, operations, and production. RIZM's AI-powered agents, including the Energy System Designer, Energy Operator, and Energy Portfolio Manager, help companies identify and implement cost-effective strategies for energy management, flexibility, and decarbonization. By creating a digital twin of the energy system, RIZM provides transparency and facilitates the application of both human and artificial intelligence to energy-related decisions. The platform supports the design of new flexibility options, optimizes the operation of energy assets, and facilitates cross-market flexibility trading.
Target Audience
RIZM targets industrial companies, including those in the automotive, chemical, steel, and paper industries, seeking to optimize their energy systems, reduce costs, and achieve sustainability goals.
Features
- Digital Energy Twin: Creates a centralized, standardized data foundation for energy consumption, assets, and procurement.
- AI-Agent Energy Operator: Optimizes energy procurement by adapting to energy market prices and grid fees without reducing production.
- AI-Agent Energy System Designer: Designs and models energy systems to identify cost-effective ways to build flexibility and achieve climate goals.
- AI-Agent Energy Portfolio Manager: Builds a portfolio that aligns with risk tolerance and hedging objectives.
- Integrates energy procurement, component, and consumption data.
- Provides a scalable solution that complements existing IT systems.
- Offers a step-by-step introduction with scalable granularity.
- Stochastically maps the volatility of energy markets and the availability of renewable energies.