LD integrates energy markets into high-performance computing, enabling data centers and compute consumers to manage energy costs and carbon emissions. Their IoT and MLOps platform facilitates the development and execution of energy strategies. This makes compute more affordable for users and more profitable for data centers.
Funding
Funding not disclosed
Founders
Product
Problem
Data centers and other large energy consumers face increasing pressure to manage energy costs, reduce carbon emissions, and participate in grid stabilization programs, while maintaining uptime and compute performance. Existing solutions often lack the real-time visibility and control needed to optimize energy consumption and respond dynamically to grid conditions and energy market fluctuations.
Solution
LōD provides an energy-integrated industrial IoT platform that enables data centers and flexible loads to optimize energy consumption and participate in grid programs. The platform offers real-time energy intelligence and operations management, allowing users to make strategic energy decisions beyond basic price responsiveness. By integrating directly with facility operations, LōD supports day-ahead energy trading and co-optimization strategies. The platform's AI-powered analytics solution helps operators optimize performance, reduce energy costs, ensure compliance, and unlock new revenue streams through demand response and grid balancing programs.
Target Audience
LōD targets data center operators, flexible loads, and other large-scale energy users seeking to optimize energy consumption, reduce costs, and participate in grid reliability programs.
Features
- Real-time workload routing and scheduling based on power price, grid demand, carbon emission, or reliability
- Energy source management between grid, on-site generation, and batteries
- IoT-based insights across power, cooling, and infrastructure performance
- Device-level anomaly detection and troubleshooting with preventive maintenance insights
- Site-level monitoring of temperature and ventilation for proactive operational management
- Automation recommendations using RAILS, LōD’s native no-code language
- Integration with energy markets for day-ahead energy trading and strategy co-optimization