Condor Energy Helps Large Electricity Buyers Stop Overpaying for Power

The Macro: Data Centers Are Eating the Grid and Nobody Knows How to Buy Power Efficiently

Electricity demand from data centers, manufacturing facilities, and large commercial operations is growing faster than at any point in decades. AI training and inference alone are projected to consume as much electricity as entire small countries within the next few years. These large consumers spend millions on electricity annually, but most of them have surprisingly little visibility into their consumption patterns, price risk, or optimization opportunities.

Energy procurement for large consumers is complex. You negotiate power purchase agreements, manage hedging strategies to protect against price volatility, evaluate on-site generation options like solar and batteries, and try to balance cost against reliability against sustainability commitments. Most companies handle this with a small energy team, external consultants, and spreadsheets.

The tools available are inadequate. Traditional energy management systems track consumption but do not optimize procurement. Energy brokers handle purchasing but lack analytical depth. The result is that large electricity buyers make multi-million dollar decisions with insufficient data and analysis.

The Micro: Former Power Traders Building the Energy OS

Jean Costa de Beauregard, Clement Grivel, and Florian Perocheau founded Condor Energy. Jean is CEO. Clement is CTO. Florian is CPO and is a former equity quant and power trader. The team met in France and brings expertise in power trading and hydropower operations. They have a three-person team from YC Winter 2026 with Jared Friedman.

The product is an AI-powered energy management operating system for industrials, retailers, and data centers. Real-time dashboards aggregate consumption data, PPA performance, solar PV generation, battery storage status, and market pricing. Price risk modeling executes data-backed hedging strategies. Asset screening analyzes load data to recommend and quantify ROI for solar, batteries, and EV chargers. Board-ready reporting packages everything for executive decision-making.

The demo dashboard on their site shows the level of detail: a fictional ACME Energy with 930K in YTD spend, 12,847 MWh consumption, and 68% hedging coverage. That level of visibility is exactly what most large consumers lack.

The Verdict

Condor Energy is well-positioned for the energy explosion driven by AI and data center growth. Large electricity consumers need better tools to manage their energy costs, and the founding team has the trading and energy market expertise to build them.

The competitive risk comes from established energy management companies like Enel X, Schneider Electric, and Stem. These incumbents have existing customer relationships and broader product suites. But they are also large, slow-moving organizations, and the AI-native approach Condor is taking could deliver faster iteration and better insights.

In 30 days, I want to see the number of facilities under management. In 60 days, the question is measurable cost savings. Has any customer reduced their energy costs by a quantifiable percentage? In 90 days, I want to know about the hedging strategy performance. If Condor’s recommendations outperform what customers were doing before, the product essentially pays for itself.