Intelligence for planetary resilience

Computation for a Living Planet.

We are building the architectural framework for AI that respects biological limits and advances global cooperation through rigorous peer-reviewed research.

Green leaves forming an organic computational pattern

Our mission

“To decouple technological progress from environmental degradation by engineering AI systems that are as efficient as they are intelligent.”

Global Sustainable AI

Why sustainable AI

Progress requires new measures.

Model capability cannot be separated from energy, materials, governance, or the communities affected by deployment.

Environmental Imperative

Reducing the carbon footprint of large-scale models without constraining responsible innovation.

Social Responsibility

Making AI benefits and decision-making power accessible across regions and institutions.

Economic Resilience

Developing cost-effective systems that preserve capability with fewer resources.

Our framework

Foundational Principles

Absolute Transparency

Open sourcing datasets, weights, and energy metrics for every publication.

Energy Efficiency

Treating useful work per watt as a primary measure of progress.

Ethical Accountability

Rigorous governance frameworks for long-term social and ecological impact.

Radical Inclusion

Making tools accessible across geographies, institutions, and disciplines.

A diverse research team collaborating at a table

Global research community

Join a Network of Contributors

Our network connects independent researchers, policy makers, engineers, and students across more than 45 countries.