Veos Digital develops artificial intelligence algorithms for energy consumption analysis and management, enabling users to optimize their energy usage and costs. The company's technology facilitates energy disaggregation and anomaly detection, supporting the transition to sustainable energy solutions.
Funding
$590.7K 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 organizations lack the tools to effectively analyze and manage their energy consumption, leading to inefficiencies and increased costs. Traditional methods often fail to provide the granular insights needed to optimize energy usage and identify anomalies. This lack of visibility hinders the transition to sustainable energy solutions.
Solution
Veos Digital offers an AI-powered platform for energy consumption analysis and management, enabling users to gain a deeper understanding of their energy usage patterns. The platform leverages machine learning algorithms to disaggregate energy consumption data, providing detailed insights into where and how energy is being used. By identifying anomalies and predicting future energy needs, Veos Digital empowers organizations to optimize their energy consumption, reduce costs, and improve sustainability. The system also provides energy price forecasting.
Target Audience
The primary target audience includes businesses, renewable energy communities, and organizations seeking to optimize their energy consumption, reduce costs, and transition to sustainable energy solutions.
Features
- AI-driven energy disaggregation for detailed consumption analysis
- Anomaly detection to identify unusual energy usage patterns
- Predictive analytics for forecasting future energy consumption and prices
- Integration with smart meters and other energy data sources
- Customizable dashboards for visualizing energy data and trends
- Reporting tools for tracking energy savings and sustainability metrics