GEOT.Ai designs and deploys behind‑the‑meter, decentralized AI factories that deliver high‑performance GPU compute powered by sovereign, net‑zero geothermal energy. Their modular infrastructure provides data and energy sovereignty, enabling rapid, scalable deployment of AI workloads while minimizing water use and carbon emissions. By integrating geothermal power with agile compute nodes, GEOT.Ai offers a sustainable alternative to traditional, centralized AI data centers.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that require large-scale GPU compute for AI workloads face limited access to sustainable, low‑latency power sources and must often rely on centralized data centers that increase latency, reduce data sovereignty, and contribute significantly to carbon emissions.
Solution
GEOT.Ai constructs decentralized, behind‑the‑meter AI factories that integrate high‑performance GPU clusters with sovereign, net‑zero energy supplies such as geothermal power. By deploying modular infrastructure directly at the edge, the company delivers gigawatt‑scale compute capacity with minimal transmission losses and full control over both data and energy sources. Rapid‑deployment modules enable enterprises to scale compute resources in line with the exponential growth of AI demand while maintaining a carbon‑neutral footprint. The solution combines energy‑as‑a‑service with compute‑as‑a‑service, allowing customers to locate AI workloads close to their data sources and operational sites.
Target Audience
Primary customers are large enterprises, cloud providers, and AI‑intensive organizations that need scalable, low‑latency GPU compute while maintaining control over data and energy footprints.
Features
- Modular AI factory units that can be installed within weeks at customer sites or strategic locations
- Integration with geothermal and other renewable energy sources to provide net‑zero power for GPU clusters
- High‑density GPU compute racks optimized for AI training and inference workloads
- Built‑in data‑energy sovereignty controls, giving enterprises full ownership of both compute results and the energy supply chain
- Scalable architecture that supports gigawatt‑level capacity expansion without centralized data‑center dependencies
- Edge‑focused design reduces latency and bandwidth costs for data‑intensive AI applications