Earthonomy AI

Governed AI, implemented.

Earthonomy AI is the software services business of Earthonomy, LLC. It implements governed AI for organizations inside their own cloud, measured against Earthonomy's Seven Forces Framework before and after, with the data-center crisis as its starting point. The thesis, the services, the standard we are building and the inquiry form live on earthonomy.ai.

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Azure · AWS · Google Cloud, with the governed stack implemented within Databricks•Designed and built by our own staff, certified on Azure, AWS, Google Cloud and Databricks
How it uses the platform

Four things Earthonomy AI takes from Earthonomy

Earthonomy AI implements; the platform measures, records and certifies. That is what makes governance measured rather than asserted.

Measured before and after — RISE™

Every implementation is assessed against the Seven Forces Framework at the start and again at the end, scored to a level per force, with the organization's level its weakest force. The same instrument that leads to RISE™ certification.

The data substrate — Earthonomy RDI™

Regenerative Data Intelligence is the Databricks-native family the implementations are built on: Unity Catalog governance, lineage, audit records and the reference workload, OmniESG™, which is in market today.

Where it runs — the Earthos™ facility register

Earthonomy registers data center facilities and compiles their public record from permits and rate cases. An implementation's regions are read against it, so the place a model runs in is part of its governance.

The standard being built — Earthos™ Certified Governed AI

An AI system is a product, so the Earthos™ product certification extends to it: independent validation of what the system does, whom it affects and what it draws. No system holds it yet. Earthonomy AI will never certify its own work.

Everything else — the four pillars, what you get, the standard, the two paths, and the inquiry form — continues at earthonomy.ai.