Enterprise Neurosystem

Internet of Nature · Planetary AI · Equal Access for All

A global AI architecture for environmental intelligence.

The Enterprise Neurosystem is a non-profit, open source AI research community, founded on the principle that all species and ecosystems on this planet are part of a single system. Given our reliance on it, and the challenges it now faces, humanity requires a real-time architecture that analyzes our environment at planetary scale — integrating satellites and atmospheric, oceanic, seismic and agricultural sensors into one AI network for a highly accurate early warning and course-correction engine.

Participants
190+
Companies & institutions
30+
Active climate/AI projects
9+
Research Community
Open

How it works

From sensor to early warning

One architecture, from the ground to orbit: sensors and satellites feed national AI instances, which cross-correlate in real time to surface patterns no single dataset could reveal alone.

01

Sense

Satellites, atmospheric and oceanic observation, and sensors among species, forests, crops and waterways together monitor soil, pollution, and human impact.

02

Cross-correlate

Sensor data flows to AI instances in each country for real-time pattern analysis, cross-correlated against historical data by area.

03

Warn & advise

Deeper patterns emerge (deforestation, drought, wildfire risk, agricultural stress), driving accurate early warnings and course-correction recommendations.

Why it matters

Parity at planetary scale

A single unified global AI architecture, enabled by satellites, sensors and mobile networks, provides the most accurate early warning capability possible — for every nation.

Equal access for all nations

Developing nations gain access to the same shared AI resources, historical data, and models as every other country.

A Rosetta Stone for nature

Over time, species communications (acoustic, behavioral) are analyzed across thousands of species, in search of patterns.

Bill Wright introduces the Enterprise Neurosystem at COP 27, November 2022.

A consortium, not a company

Governments, research institutions, and industry collaborate in the open — sharing sensor networks, AI models, and infrastructure in a single global architecture.

Working with organizations including

  • JPL / Caltech
  • The Nature Conservancy
  • NCEAS
  • Makerere University
  • Uganda STI Ministry
  • UNFCCC
  • CTCN
  • ITU
  • USDA
  • UAE
  • ECMA
  • UOR Foundation
  • UN University
  • Cisco
  • Hewlett Packard
  • Hitachi
  • IBM
  • Microsoft
  • Red Hat