Tibo Energy provides AI-powered software that creates a Digital Twin of energy networks to optimize asset management and prevent congestion within grid connections. This technology enables businesses to maximize renewable energy usage, reduce operational costs, and align with sustainability goals by analyzing peak demand patterns and load balancing.
Funding
$3.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many businesses struggle to optimize their energy consumption, leading to increased operational costs, grid congestion, and difficulty integrating renewable energy sources. Existing energy management systems often lack the sophistication to handle complex energy networks and dynamic pricing, hindering sustainability efforts.
Solution
Tibo Energy offers an AI-powered Energy Management System (EMS) that creates a Digital Twin of a company's energy network to optimize energy flows, prevent grid congestion, and maximize the use of renewable energy. The platform uses advanced AI, named Alice, to continuously monitor energy flows, identify inefficiencies, and adjust consumption patterns in real-time based on factors like weather forecasts and energy prices. By simulating various scenarios and controlling assets like heat pumps, charging stations, and battery storage, Tibo Energy enables businesses to stay within grid connection limits, reduce energy costs by up to 30%, and achieve their sustainability goals. The EMS provides actionable insights through a virtual power plant interface, allowing users to make data-driven decisions and optimize their energy network.
Target Audience
Tibo Energy's primary customers are businesses, energy consultants, installers, and EaaS (Energy-as-a-Service) companies seeking to optimize energy usage, reduce costs, and integrate renewable energy sources into their operations.
Features
- Digital Twin creation of energy networks with key asset integration
- Real-time monitoring of energy flows and consumption patterns
- AI-powered optimization using the "Alice" engine, adapting to weather forecasts, energy prices, and imbalance signals
- Scenario planning for potential cost savings based on dynamic energy contracts
- Smart control of assets, including heat pumps, charging stations, and battery storage
- Congestion management through peak demand analysis and load balancing
- Integration of renewable energy sources, such as solar and wind
- Virtual Power Plant as a Service (VPPaaS) for modeling energy networks