Our Vision

Building the infrastructure for independent, efficient, and accessible AI.

The Transformative AI of Tomorrow - Today

In just a handful of years, Large Language Models have improved dramatically and remade tasks such as language translation and writing code. Here at EarthFrame, we believe that the "AI" systems of today are plenty powerful to dramatically improve most workflows. The challenge is doing so sustainably while aligning with the needs of communities and individuals.

EarthFrame delivers these technologies to our customers in a way that centers sustainability, measurement, and optimization. We build the tools that let you see exactly how systems perform, where they waste energy, and how to optimize them. We design hardware that runs efficiently without sacrificing power, and we make it testable so you can verify our claims. We create infrastructure that can be owned, operated, and understood by the people who use it, with the express goal of transferring ownership to our customers. Our end goal is to help create a sustainable data economy.

A Rich and Distributed Data Economy

The future of data is distributed.

We envision a data economy where data can easily stay where it's created and and where value can be distributed along the data supply chain. Individuals, organizations, and nations have the option to own their data infrastructure, run their models, and build their AI systems with full control.

When communities have the option to own their compute and control their data, they can participate in the AI economy as creators, not just consumers. They can build solutions tailored to their needs and aligned with their cultural context while capturing value locally—all while integrating with larger systems when beneficial.

AI Systems That Rebuild People and Planet

We believe technology should regenerate. AI systems should strengthen communities. They should be tools for renewal and growth.

This means building systems that are:

• Energy efficient – maximizing performance per watt and practicing environmentally-aware design to reduce environmental impact
• Locally controlled – keeping data and decision-making close to the communities they affect
• Economically sustainable – affordable to operate across generations
• Culturally respectful – designed to preserve and amplify local knowledge, not extract or replace it

Whether you're running a large-scale data center or a single field-deployed workstation, efficiency matters. Reducing waste is key to a healthy data economy.

Who We Build For

We build AI and data processing infrastructure that expands what's possible. For researchers advancing their fields. For institutions serving their people. For businesses optimizing their operations. For anyone who needs computing power they can trust, measure, and control.

That's the future we're working toward, one system at a time.