Start with the world.
We are exploring how AI can connect observations across a changing landscape, while keeping the limits of those observations visible.
What changed—and what can the evidence actually tell us?
Intelligence,
in concert
with life.
We’re developing AI that observes, investigates, and learns with the living world.
Explore our researchIntelligence takes shape through relationships.
Living 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.
From observation
to understanding.
Our early research asks how intelligence can investigate a changing world. Choose a question to explore the relationship it opens.
Make explanations testable.
Our aim is to develop intelligence that can examine competing explanations, trace each conclusion to evidence, and identify what to observe next.
How can AI investigate without outrunning its evidence?
Let the relationship change us.
We ask how encounters with living systems can inform the intelligence we build, and how new evidence should revise its understanding.
What might intelligence learn by staying in relationship?
Gaia
A body of work.
A living inquiry.
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 GaiaFollow materials through the world.
Overshoot 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.
Make knowledge available in context.
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 historyAsk what ecological change means.
The 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.
Let ideas travel beyond the lab.
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 explorations
Earlier 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.
A living world.
An open conversation.
We welcome conversations with researchers and builders exploring intelligence, ecology, and their shared future.
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