Unlocking more AI compute from the power data centers already have.

Data centers are the new industrial plants of the AI era—and they are hitting a wall. The bottleneck is not capital, but power: utility interconnection queues now stretch 5–8 years, far too slow to meet exploding AI demand. Yet most data centers operate at only 40–50% of their power budget, a consequence of static, worst-case planning assumptions that leave massive compute capacity stranded. Hammerhead solves this by dynamically orchestrating compute, cooling, and battery systems to safely extract 20–30% more compute from existing infrastructure. For the first time, data center operators can turn underused power into real AI workloads—and meaningful revenue.

The founding team previously built and sold AutoGrid to Schneider Electric, bringing over a decade of experience optimizing complex, mission-critical energy systems. Now they are applying that same orchestration expertise to unlock stranded capacity at scale. Schneider Electric is both an investor and strategic distribution partner, providing access to thousands of global data center relationships. Early momentum is already strong, with pilot commitments from large operators and more than 50MW of contracted pipeline. Hammerhead is positioned to define a new category of infrastructure optimization for the AI era.