Hyperscale in Realtime™

a first-principles solution engineered to scale AI compute in months, not years

bare-metal, colocation, or build-to-own hyperscale

Data Leaf AI Inc. corporate logo

The Data Leaf System

Scott Lane, CEO of Data Leaf AI Inc.

1. Renewable EnergyModern utilities weren't designed to handle intermittent electricity from renewables. We built an energy strategy called Baseload as a Service® to solve that.We power data centers with on-site renewables and leverage sustainable cooling practices to keep our compute Earth-friendly, while maximizing performance.

Scott Lane, CEO of Data Leaf AI Inc.

2. Self-ReliantThe days of centralized utility control are over. Data Leaf is leading the charge in the era of distributed infrastructure.Our projects are grid-independent, fully vertically-integrated, and N+1 hardened for reliability you can train your next AI model on.

Scott Lane, CEO of Data Leaf AI Inc.

3. Hyperscale in Realtime™We know you need compute capacity yesterday. That's why we distribute hyperscale projects into lateral execution rather than traditional linear developments which are exposed to bottlenecks at every stage.We build portfolios of distributed infrastructure (we call this a macrogrid) to spec. Tell us what you need and Hyperscale in Realtime™.

Founding Team

with 80+ years of experience

We possess a deep track record of building infrastructure at lightning speed with over 10GW of solar, wind, and battery projects and 1,000+ private & public sector telecommuncations and modular data center sites globally.We are experienced operators, whether its boots on the ground or suits in the board room, having led senior and executive teams at firms like EDF Renewables, American Tower, PG&E and more.

Scott Lane, CEO of Data Leaf AI Inc.

Scott Lane, CEO

Bo Jones, CSO of Data Leaf AI Inc.

Bo Jones, CSO

Jeff Irvine, COO of Data Leaf AI Inc.

Jeff Irvine, COO

Sean Jazayeri, CIO of Data Leaf AI Inc.

Sean Jazayeri, CIO

Reservable Capacity

Scott Lane, CEO of Data Leaf AI Inc.

Q1-2026

Ready to Build

Our initial pipeline of 40MW GPU compute capacity is ready to deploy in Q1 2026.Land control, expedited entitlements, supplier relationships, and project capital is in place.

2026-2027

On-Demand Expansion

We can deliver 1MW, 100MW, or 1GW of bare-metal or colocation capacity. Data Leaf's unique strategy overcomes 90%+ of traditional infrastructure delays, regardless of scope.

Agentic Path

AI's Power Factory

Over time, Data Leaf's biggest customer will be AI agents seeking to scale their training and inference capabilities. We are the first data center developer to systematically autonomize infrastructure development.

Reserve Capacity,
Hyperscale in Realtime™

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