Earthonomy AI implements the governed stack within Databricks on Azure, AWS or Google Cloud, measures it against the Seven Forces Framework before and after, and leaves behind a system you can run without us.
Why governed. Humanity stays in control of AI only when four things hold, in this order: A secure internet; Guardrails, internal and external; Full observability; Democratic choice from the local level up. Read the full case.
Each one has a clock. Each one is answered with evidence you already hold, or with a scramble.
The EU AI Act, ISO/IEC 42001 and NIST AI RMF ask the same thing in different words: show the controls, show the lineage, show who is accountable. Governed AI produces that as a report you already hold, with every control mapped to the clause that asks for it.
A decision a regulator, a customer or a union asks about needs an owner who can explain it and reverse it, and a record of what the model saw. Without lineage, audit logs and inference records retained on your terms, there is no answer.
Every model runs in a data center with neighbors, and across the United States communities are saying no to them: electricity bills, water, grid capacity, secrecy. Earthonomy keeps a public register of facilities compiled from permits and rate cases. Its first dataset covers 40 facilities in Loudoun County, Virginia, and not one discloses its on-site generation.
Before anyone funds a build, you get the evidence to decide. Scored, traceable, and yours to keep whether or not we do the follow-on work.
The engagement follows the methodology of our sister company, Augmentio: evidence before commitment, structurally. No client funds a scaled build on an unproven premise.
The Assessment above. Two to four weeks, fixed fee, useful whether or not we do the follow-on work.
Your choice of proof: a Signal Test on synthetic seed data, or a Prototype on real governed data in your own workspace. Both end in evidence and a production path.
Productionized delivery of the governed stack: the secure workspace, the permissions and guardrails, the lineage and audit records. Spec-first, with the repository as the source of truth.
Your platform and its AI maintained, controlled and continuously improved as ongoing operations, re-measured on a cadence you set. Everything we build is yours to keep and run without us.
Earthonomy AI implements; the Earthonomy platform measures, records and certifies. Everything below runs today. Three more capabilities are specified, with their status on the full list.
Every implementation is assessed against Earthonomy’s Seven Forces Framework at the start and again at the end. Each force is scored to a level from 0 to 12, and the organization’s level is its weakest force. The result is a record, not an opinion.
Validators are drawn at random from a conflict-filtered pool, see only what they are assigned, and vote blind; the review panel must be unanimous. Earthonomy AI never validates its own engagement.
Certifications issue as verifiable credentials with a public verification link that needs no login. A regulator, a customer, a union or a county board checks it themselves.
Earthonomy’s facility register and transparency index cover the data centers behind the regions you deploy to, compiled from permits and rate cases whether or not the operator engages.
The data-center assessment asks about power efficiency, carbon-free supply, water, grid impact, waste heat, noise, local hiring, electricity-rate and tax transparency, tenant emissions, siting and electronic waste.
OmniESG™, Earthonomy’s data-intelligence product, is in market on the Databricks Marketplace, reads and writes your catalog, and ships an audit bundle with every report. It is the first workload we govern in your workspace.
Independent by construction. The platform that measures your implementation is not the team that built it. Validators never see who they are validating, and Earthonomy AI never validates its own engagement. That is the difference between a vendor saying it is governed and a record that says so.
Earthonomy certifies organizations through RISE™ and facilities through Earthos™. The third, Earthos™ Certified Governed AI, is being built for AI systems. No system holds it yet, including ours. Every implementation is built to it, so when the first certificates issue, yours is already measured.
What is never certified: systems whose purpose is watching people, scoring them, or steering them. Purpose is gated before anything is scored. This is what responsible use of AI looks like in practice, written as evidence rather than intent.
Every implementation is designed and built by our own staff, certified in cloud architecture and engineering on Azure, AWS and Google Cloud, and on Databricks. Governance is a practice before it is a platform, and the people who carry it are ours, not subcontracted.
Design the governance: what the internal guardrails permit, which external standards apply, what must be observable and to whom, and how your people exercise choice over the result.
Build and run it: the secure workspace in your cloud, the catalog permissions and gateway guardrails, the lineage and audit pipelines, and the reports that turn observability into something a person can act on.
Thirty minutes. We come back with the shape of an Assessment and a fixed fee. Every inquiry is read by a person.
Partnership, press, investment or training? Use the full inquiry form. Not sure where you fit? Find your path.