Start with the world.
An observation becomes useful in context: where, when, and how it was made. We’re exploring AI that can follow those connections across a changing landscape.
What changed—and what can the evidence actually tell us?
We’re developing AI that observes, investigates, and learns with the living world.
Explore our researchLiving systems adapt through relationships. We explore what that can teach us about AI—and how AI can become a more careful participant in those systems.
Our work begins with ecological investigation: observing change, testing explanations, and keeping conclusions accountable to the world they describe.
Observe with care.
Question what follows.
Learn in relation.
Follow a rain pulse through an illustrative watershed, from observation to competing explanations and a revised estimate.
An illustrative watershed
A rain pulse travels downstream. Sampling points register its passage.
An observation becomes useful in context: where, when, and how it was made. We’re exploring AI that can follow those connections across a changing landscape.
What changed—and what can the evidence actually tell us?
Change can have more than one explanation. Our research asks how AI can compare alternatives against observations and choose what evidence to seek next.
How can AI investigate without outrunning its evidence?
New evidence should change a model’s understanding. We’re exploring how AI can revise its picture of a living system while keeping uncertainty visible.
What might intelligence learn by staying in relationship?
Gaia brings together our work in ecological knowledge, material flows and environmental assessment. This body of work informs Symbiocene’s independent research into intelligence that works in concert with life.
Explore GaiaOvershoot is a public atlas for exploring materials, places, facilities, trade, waste and their documented connections. It makes the physical systems behind everyday life available to investigate.
Queries retain their sources, so records and observations can be checked. Documented connections offer a starting point for tracing material flows and asking what the evidence reveals.
Earlier work on semantic knowledge graphs and Knowledge Organization Infrastructure (KOI) explored how AI can connect ecological context while preserving where information came from.
Registry-related tools and demonstrations formed part of this groundwork. These earlier collaborations and prototypes inform our thinking about an ecological intelligence layer that other AIs can use.
Read Gaia’s historyThe Ecosystem Integrity Index (EII) explores how observations, provenance and change over time could support environmental assessment. Work includes a v0.2 research paper, competitive research and prototype groundwork.
EII remains research and prototype development.
This is one step toward intelligence that can test explanations, surface uncertainty and decide what evidence to seek next.
Gaia’s public record also spans grant work, Planetary Return on Investment, the Gaia Greenpaper and publishing experiments—including The Gaian Times, Encyclopedia of Regeneration and Regen Digest.
Futures and cultural work explore how ecological intelligence can enter public life. These investigations sit alongside our technical work, opening different ways to think about the relationship between AI and the living world.
Explore Gaia’s public recordEarlier project demonstrations explored ecological questions involving SeaTrees, Kellanova/Mars and Conservation International. These explorations inform Symbiocene’s independent research agenda.
That history also includes publishing, grant work and talks. Gaia’s public record gives the wider context behind the work we are carrying forward.
We welcome conversations with researchers and builders exploring intelligence, ecology, and their shared future.
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