Eaos builds and operates EAOS, hosted AI infrastructure for the built world, under the control of the people who run it.
Eddy is the agent and its workbench. Wave watches. Etak simulates. Soma keeps the map underneath. The memory keeps what the facility teaches it, and the software factory builds what the facility needs next, so the whole of it keeps learning.
One agent, and one place the whole team works in.
Operators have the board, the conversation, cases, the radio and the phone. Engineers have projects, runs and the workbench. It is the same agent on the same record, so the case an operator opens is the project an engineer picks up.
The web, the desktop app, tablets, and Teams.
The Eddy Mobile app, email and text messages.
Your two-way radios, push to talk, and a phone call.
Eddy CLI, for engineers who work at the command line. Coming soon
Data, documents, calendar, reports, tools, notes, studies, projects, Wave and Etak.
The same agent, the same record and the same bounds, wherever someone reaches it.
An author, a diff, a review, a release, and a way back, on the record.
Nobody prompts it. The facility does.
A protocol says what to watch, what opens a case, whom to ask and where the result lands. When the condition arrives, Eddy works the case, and stops to ask where the data cannot settle it.
It recommends first. Where the team grants a bounded authority, it acts inside it, logged and reversible.
Chemical ordering at two facilities, filtrate events at a third, wet weather at a fourth.
What it recommended, what happened, and what it would do differently, under the same review.
The first agent-native simulation environment.
Every unit process carries its model, mechanistic where the physics is known and learned where it is not, composed from the map. A run is a call the agent makes, with its inputs frozen and its result on the record.
Run it before you run it.
Everything a result depended on is pinned, so it can be defended months later.
The physics is published and the engine is replaceable.
The same models are where a capital study starts.
Built by agents. Approved by the team. Audited against fact.
Everything above runs on one map of the facility and one memory that grows with use. Agents propose and a person approves, and a lesson enters the memory only after it passes a test.
Agents do the labor of governance. People keep the approval.
Corroborated independently, supported by the data, the documents or the lab, and scoped to the conditions it holds under.
As the facility changes, a lesson is confirmed, narrowed or retired. What the facility is now wins over what it used to be.
Versioned, with its lineage and a way back. Nothing enters the memory any other way.
Self-extending, never self-authorizing.
Your team and Eddy build what the facility needs on the record itself. Applications, workflows, dashboards, detectors, reports and models, drafted by the agent, reviewed by a person, released through the same gate, and reversible. As code gets cheap, the scarce skill is deciding what to build and what to trust.
The first one is authored. Every one after it is configuration.
Readiness checks, tests and a review before a person releases it to operations.
What proves itself graduates to a catalog. A detector built for one basin serves the next facility with its own bindings and limits.
A change to a template reaches everything built from it.
The people who know the process own what the agent knows. Each protocol and dashboard has an owner on the utility’s team.
How an engagement runs.
What gets built, what you own, and what we run.