Energy Language Model

The Largest and Most Capable Energy Domain Language Model

ELM processes and generates all forms of data — text, image, audio, video, and code — specifically for energy markets. Trained on more than 1 billion energy domain-specific data points to revolutionize how energy decisions are made.

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ELM

Energy Today

The energy landscape has never been more complex—or more full of opportunity

Unprecedented Complexity

More than 10,000,000 different tariff combinations across 3,000+ utilities in the US alone.

Growing Energy Demand

More people need more energy than ever before, driven by electrification and digital transformation.

Market Accessibility

Energy markets are more accessible but more complicated than ever before, requiring expert navigation.

Monetization Promise

Monetizing energy opportunities has more promise than ever before, but requires sophisticated analysis.

Enter ELM

The most sophisticated large language model dedicated to processing and generating all forms of energy data

ELM

Data Powering ELM

7 tranches of comprehensive energy data creating unprecedented domain expertise

More Than 6,000 Unique Sources

Over 1,000,000,000 Individual Data Points

More Than 500,000 Question Answer Pairs

Target Users

ELM delivers transformative value across every sector of the energy ecosystem.

Fortune 1000 Company

Saving 3% on a $10m energy budget by verifying proposals.

Electric Utility

Accelerating one 150MW interconnection by three months.

Policy Maker

Targeting just one clean energy incentive to the highest-impact community using data-backed burden analysis.

Energy Development Firm

Catching deal-ending mistakes on one multi-million dollar proposal before it's sent out.

Person at Home

Taking a photo of one electric bill and enrolling in deregulated energy brokerage through ELM's instant supplier matching.

Energy Broker

Converting 15% more prospects to clients by instantly analyzing bills and identifying optimal supplier matches.

Private Equity Firm

Improving due diligence efficiency by 40% when evaluating energy asset acquisitions, saving more than $300,000 per deal.

School District or University

Reducing campus energy spend by 7% through tariff optimization and demand charge avoidance strategies.

City Manager

Recruiting one corporation/enterprise headquarters using data center energy cost competitiveness insights.

Leadership Team

Combining deep energy expertise with cutting-edge AI capabilities

Han Liu

Chief Technology Officer

Director of MAGICS lab at Northwestern University. Former Tencent AI Lab director. PhD from Carnegie Mellon. Multiple prestigious AI awards.

Adam Pleasant

Chief Operating Officer

5 years of energy market strategy expertise. Head of Strategic Initiatives at Truffle Pig. Northwestern University MSES Teaching Team.

Mark Pruitt

Chief Power Officer

25+ years in energy markets. Former Director of Illinois Power Agency. Secured electricity for 4.7M ratepayer accounts. Northwestern Adjunct Professor.

Mark Nakayama

Chief Commercial Officer

15+ years in renewable energy development. Partner at 11 Million Acres. 10,000+ commercial energy accounts managed across 20+ markets.

Dave Pavlik

Executive Chairman

15+ years in energy investment and development. Led $2.8B+ in capital investments. Former Illinois State Budget Manager overseeing $20B+ in funding.