Hammerhead AI

About Hammerhead AI

Hammerhead AI focuses on transforming stranded power into AI-ready capacity for data centers. Their mission is to address the power constraints in AI infrastructure by orchestrating power, cooling, and compute in real-time, enabling faster AI deployment without reliance on grid expansion.

Products & Services

ORCA (Orchestrated RL Control Agents):A solution leveraging reinforcement learning to orchestrate power, cooling, and compute in real-time, scaling AI capacity within existing power limits.

Specialties

AI-driven power orchestration Data center power efficiency Reinforcement learning for compute scaling Sustainable AI workload deployment

Funding History

Debug: View Raw Funding Data

#	Type	Amount Fields	Date Fields	Investors
1	RT: Seed T: - FT: Seed	A: 10000000 MR: - FA: 10 million FAN: 10000000	D: 2025-11-18 FD: 2025-11-18	10 investors

Seed Latest

2025-11-18

$10.0M

10 investors (Pro only)

Growth Metrics

+45%

Employee Growth

YoY

3.2x

Funding Growth

Last Round

12

Markets

Operating

10K+

Customers

Active

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Mock Up

Team & Leadership

J

Jack Cogen

Board Director

J

Jensen Huang

Founder and CEO

S

Satya Nadella

Chairman and Chief Executive Officer

L

Laura Katzman

Partner, Buoyant Ventures

A

Aaron Binkley

VP of Sustainability

A

Amit Chaturvedy

Global Head & Managing Partner, SE Ventures

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Recent News

Hammerhead AI Announces New Product Launch

2 days ago

Company unveils innovative solution to transform the industry, expanding market reach and capabilities...

Leadership Team Expands with Industry Veteran

1 week ago

New executive brings 20+ years of experience to accelerate growth and strategic initiatives...

Company Recognized as Industry Leader

2 weeks ago

Receives prestigious award for innovation and customer satisfaction in competitive market...

Key Competitors

C1

Competitor Alpha

Series B · $50M raised

C2

Competitor Beta

Series C · $120M raised

C3

Competitor Gamma

Series A · $25M raised

C4

Competitor Delta

Seed · $10M raised