Virtus is developing Energy Artificial General Intelligence (AGI) to automate and optimize physical energy logistics, enabling the autonomous distribution of low-carbon energy. By utilizing a proprietary digital twin to forecast global energy supply and demand, the company aims to minimize volatility and ensure stable energy prices.
Funding
Funding not disclosed
Founders
Product
Problem
The energy sector faces challenges in efficiently managing the complex logistics of physical energy distribution, leading to volatility in supply and prices. Traditional methods often rely on manual processes and lack comprehensive forecasting capabilities, hindering the transition to low-carbon energy sources.
Solution
Virtus is developing Energy Artificial General Intelligence (AGI) to automate and optimize the physical energy supply chain, facilitating the distribution of low-carbon energy. Their approach utilizes a proprietary digital twin, the Global Energy Model (GEM), to track and forecast global energy supply and demand. By predicting imbalances in the energy ecosystem, Virtus aims to proactively balance supply and demand, minimizing waste and stabilizing prices. This automation enhances safety, improves operational efficiency, and supports a greener, more reliable energy supply.
Target Audience
Virtus targets participants in the physical energy sector, including suppliers, distributors, and consumers, with a focus on those involved in renewable and low-carbon energy sources.
Features
- Global Energy Model (GEM): A proprietary digital twin that tracks physical energy flows to forecast supply and demand.
- Energy AGI: Automates and optimizes physical energy logistics for autonomous energy distribution.
- Predictive analytics: Enables preemptive balancing of the global energy ecosystem to reduce waste and stabilize prices.
- Automation of energy infrastructure: Minimizes human error, enhances safety, and improves operational efficiency.