Lightgrid provides AI‑driven software that integrates renewable energy sources with high‑performance computing workloads, enabling data centers to run on low‑cost, reliable, sustainable power. Its platform continuously analyzes real‑time power and workload signals to maximize renewable usage, reduce energy costs, and support grid stability, offering a self‑healing, autonomous solution for enterprise compute.
Funding
Funding not disclosed
Founders
Product
Problem
Data centers require large amounts of reliable power, but renewable sources are intermittent and often more expensive to integrate, leading to high energy costs and limited use of clean energy for compute workloads.
Solution
Lightgrid offers an AI‑driven software platform that continuously ingests real‑time data from data‑center control systems and the electrical grid. The platform applies proprietary AI models to align compute workloads with available renewable generation, automatically dispatching power and adjusting workloads to maximize renewable utilization while minimizing cost. Its autonomous, self‑healing control agent can reconfigure power flows and workload distribution in response to grid conditions, market signals, or sustainability targets, ensuring continuous, reliable operation. By optimizing both power and compute in tandem, Lightgrid enables enterprises to run high‑performance tasks on low‑cost, sustainable energy without sacrificing performance or reliability.
Target Audience
Primary customers are large‑scale data center operators and enterprises running compute‑intensive workloads that need cost‑effective, reliable, and sustainable power.
Features
- Real‑time orchestration of power and compute using AI that fuses data‑center telemetry with grid supply information
- Adaptive control agent that automates dispatch, power management, and workload scheduling without human intervention
- Self‑healing optimization loops that detect and correct imbalances to maintain grid reliability and uptime
- Renewable‑first scheduling engine that prioritizes clean energy sources and reduces overall energy spend
- Continuous learning framework that evolves models based on operational outcomes and market dynamics