Ecolibrium
Ecolibrium provides SmartSense, an AI-driven platform that collects and analyzes energy, water, and asset performance data across an organization's entire portfolio. The platform delivers real-time actionable insights, predictive analytics, and automated reporting to help enterprises in real estate, manufacturing, and data centers achieve net-zero goals and reduce operational costs. Its proprietary machine-learning algorithms cover over 90% of industrial equipment types and deliver measurable results within 60 days of deployment.
- Clean Technology
- Artificial Intelligence
- Data & Analytics
- Internet of Things
- Software Only
- Manufacturing / Industry 4.0
- Energy
- Enterprise Software
- Industrial Automation
Funding
Founders
Founder details are not available yet.
Product
Problem
Many enterprises struggle to track and reduce their energy consumption, carbon emissions, and operational inefficiencies across complex, multi-site portfolios. Traditional monitoring approaches lack real-time visibility, predictive capabilities, and the ability to connect asset-level performance to broader sustainability goals, making net-zero targets difficult to achieve.
Solution
Ecolibrium offers SmartSense, an AI-driven platform that collects, visualizes, and analyzes energy, water, and asset performance data from across an organization's entire portfolio. Proprietary machine-learning algorithms generate real-time actionable insights, predictive analytics, and automated reporting, enabling businesses to identify inefficiencies and optimize performance. The platform provides a unified view of all buildings, plants, and data centers, allowing users to drill down from portfolio-level trends to individual asset health. With a goal-oriented partnership approach, Ecolibrium helps clients achieve measurable results such as reduced carbon footprints, lower operating costs, and improved equipment uptime.
Target Audience
Primary customers are enterprises in real estate, manufacturing, and data center industries seeking to achieve net-zero goals, reduce operational costs, and improve productivity through AI-driven sustainability management.
Features
- Proprietary AI/ML algorithms that deliver deep, actionable insights within 60 days of deployment
- Application library covering over 90% of all industrial equipment types
- Unified dashboard for monitoring global portfolios with drill-down capability to individual assets
- Real-time energy, carbon, and asset performance analytics with automated reporting
- Predictive maintenance capabilities enabling shift from scheduled to condition-based maintenance
- Industry-specific solutions for real estate, manufacturing, and data centers
- Integration with smart meter data services for automated data collection
- Octopus intelligence emulation providing contextual, macro-to-micro level insights
- 112 proprietary, equipment-specific machine-learning algorithms
- Processes 25 million data points every day across 500+ sites globally