Dyneo provides AI and data solutions to optimize the operation and performance of thermal networks, including district heating systems. Their platform integrates with existing infrastructure to offer real-time monitoring, fault detection, and predictive optimization of energy sources. This results in reduced operating costs, improved energy efficiency, and support for decarbonization goals.
Funding
$115.5K 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
Thermal networks often lack real-time data processing and analysis capabilities, hindering the ability to promptly detect faults and optimize energy distribution. Inefficient monitoring leads to energy losses, increased operational costs, and difficulty in achieving optimal performance in district heating and cooling systems.
Solution
Dyneo offers an AI-powered platform designed to enhance the processing and analysis of thermal network data, providing operators with real-time monitoring and automated fault detection. By integrating with existing infrastructure, Dyneo enables the identification of performance anomalies and facilitates optimized energy consumption across production, distribution, and building levels. The platform leverages machine learning models to improve energy efficiency, limit heat loss, and support remote monitoring and operation of thermal networks. Dyneo's solution facilitates interconnection between network optimization and heating controllers, demand management, and cost-effective substation data management for analysis and billing.
Target Audience
Dyneo's primary customers are thermal network operators seeking to improve energy efficiency, reduce losses, and optimize the performance of their district heating and cooling systems.
Features
- Integration with existing thermal network systems using standardized protocols
- Real-time anomaly detection and recommendation of mitigating actions
- AI-driven optimization of production and substations
- Integration of production control systems for enhanced analysis and operator support
- Automatic fault detection for remote monitoring and operation
- Interconnection between network optimization and heating controllers
- Cloud infrastructure hosted in Switzerland with ISO27001, Cloud Security Alliance, and ISO27018 certifications