Condor provides an AI‑driven platform that aggregates real‑time energy consumption, contract, solar and battery data into a single dashboard and forecasts demand and market prices. The system automatically generates and executes hedging strategies, optimizing procurement and on‑site asset use for industrial, retail and data‑center operators to reduce cost volatility and improve ROI.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial, retail, and data center operators face volatile energy prices and fragmented consumption data across meters, PPAs, solar, and storage assets, making it difficult to predict costs and manage risk. Manual analysis and spreadsheet-based processes are time‑consuming and often lead to suboptimal procurement decisions.
Solution
Condor offers an AI‑driven platform that consolidates real‑time metering, contract, and generation data into a unified dashboard. The system forecasts energy demand and market prices, then automatically generates hedging strategies to lock in favorable rates. By identifying flexible loads and on‑site assets such as BTM batteries, solar PV, and hybrid furnaces, the platform quantifies ROI and recommends optimal procurement and consumption actions for each site and hour. Continuous monitoring and automated execution keep exposure hedged, reducing cost volatility and delivering measurable savings without manual spreadsheet work.
Target Audience
Condor serves large‑scale energy consumers such as industrial manufacturers, retail chains, and data center operators that need to manage procurement risk and optimize on‑site generation and storage assets.
Features
- Real‑time aggregation of consumption, PPAs, solar PV, and battery storage data into a single visual dashboard
- AI‑based demand and price forecasting that updates every few minutes
- Automated hedging recommendation engine with execution support for base and peak contracts
- Flexibility detection that evaluates on‑site assets (e.g., EV chargers, hybrid furnaces, BTM batteries) and calculates ROI
- Site‑ and hour‑level optimization to align procurement with actual usage patterns
- Integrated cost breakdown showing supply, grid fees, and taxes for transparent expense tracking