Executable Organizational Coherence

What if software understood the world it works in?

And every agent, person and system acted on that same understanding.

Ontheia models the reality they work in: what exists, what it means, what is true and what can be done, so none of them has to reinvent it.

Connect your assistant Claude, ChatGPT or any MCP client See how it works

The problem

Three intelligent agents. Three different realities.

Each one is clever on its own. Together, they are a mess.

Three agents work on Project Nova, each with its own notebook saying the launch is on Tuesday; Agent C's notebook is blank. Operations sends a note, to Agent B only, saying Nova won't be ready on Tuesday and recommending Friday. Agent B crosses out Tuesday and writes Friday, confirmed. Agent A, happily, sends the invitations for Tuesday. Agent B, happily, books the venue for Friday. Agent C, confused, scratches its head. The invitations and the venue booking slide together and clash: Tuesday is not Friday. A and B look at each other, surprised; C shrugs. Project Nova LAUNCH Tuesday Project Nova LAUNCH Tuesday Friday! CONFIRMED! Project Nova LAUNCH — Operations · Mon 11:40 Not ready Tuesday. We recommend Friday. Invitations sentLaunch on Tuesday Venue bookedLaunch on Friday ≠ ? ? ? Agent A Agent B Agent C
Each agent keeps its own notes.Each acts, confidently.Nothing fits together.

The Ontheia difference

What if understanding belonged to none of them?

Ontheia keeps one shared understanding of what is true, where each fact came from and what is still in question. Every agent reads the same one.

The agents' private notebooks fade away; Agent B's says Friday, confirmed. One shared card for Project Nova appears, belonging to none of them: the launch is on Tuesday, accepted, from the project plan; the owner is Maya. Operations' note arrives and is clipped to the card as a proposal: Friday, proposed by Operations, with its time; Tuesday stays accepted. The three agents now read the same card: Tuesday accepted, Friday proposed. Tuesday Friday ✓ — ? Project Nova SHARED LAUNCH Tuesday accepted✓ project plan · Mon 09:12 OWNER Maya Operations · Mon 11:40 Not ready Tuesday. Recommend Friday. ≠ Friday? proposed by Operations 11:40 Tuesday ✓Friday proposed Tuesday ✓Friday proposed Tuesday ✓Friday proposed Agent A Agent B Agent C
One shared card, owned by none of them.The recommendation is kept as a proposal, with its source.Everyone reads the same thing.

What if understanding also knew what could be done?

The things Ontheia understands come with the actions they allow. An agent finds the action that already exists, asks for it, and acts only once it is allowed to.

Project Nova's shared card: the launch is on Tuesday, accepted; Friday is proposed by Operations. Agent B asks what it can do with Nova, and one action grows out of the launch row itself: Reschedule launch, already part of Project Nova. Agent C reaches for it and is not allowed. Agent B requests it: the request stops at a padlock, because the project owner must approve, and goes to Maya. Maya approves. The action runs; the launch becomes Friday, accepted, and the history keeps the old date, who proposed it, who asked and who approved. The calendar update has been sent and the venue is still to confirm. Project Nova SHARED LAUNCH Tuesdayaccepted✓ Fridayaccepted✓ OWNER Maya ≠Friday?proposed by Operations11:40 HISTORY Tuesday → Friday · Mon 15:40 proposed by Operations · asked by Agent Bapproved by Maya IN OTHER SYSTEMS Calendar · update sent Venue · awaiting confirmation Reschedule launch + 2 more actions already part of Project Nova needs approval · project owner ? Agent B ? Agent C What can I do with Nova? Launch: Friday ✓ not allowed Maya project owner Reschedule Project Novato Friday? asked by Agent B Approve Decline
The action is already part of the model.Asking is not deciding.Approved, recorded, traceable.

The bigger picture

Project Nova was one thing. Ontheia can understand almost anything.

People, customers, software, devices, rules, research, personal goals: each with its own evidence and actions, in one Semantic Space that keeps changing as the world does, and belongs to no single agent, app or session.

At first only Project Nova is visible. The view pulls back: Project Nova is one small card in a much larger Semantic Space, among independent things from very different domains: Maya, a person; Acme Corp, a customer; the checkout service, software with an open incident; a thermostat in room 4; a research topic on protein folding; a data retention rule; a personal marathon plan; an office lease. Then the space evolves: the thermostat receives a new observation, 21.5 degrees; an alert arrives as evidence for the checkout incident and is reconciled into it; the data retention rule changes to version 2, approved by Maya. ONE SEMANTIC SPACE Maya PERSONowns 2 projects Acme Corp CUSTOMER3 contracts Checkout service SOFTWAREINC-12 · open Thermostat · room 4 DEVICE21.0 °C Protein folding RESEARCH TOPIC12 sources Data retention RULEv1 · keep 2 years Marathon plan PERSONAL GOALweek 6 of 16 Office lease CONTRACTrenews in March Project NovaPROJECT Launch: Friday ✓ observed 21.5 °C · 09:02 21.5 °C · just now + alert 02:14 · monitoring reconciled into INC-12 ✓ INC-12 · 2 signals v2 approved by Maya ✓ v2 · keep 1 year
Project Nova is one thing.One Semantic Space can hold almost anything.And it keeps evolving: observed, reconciled, decided.

GenAI changed who can do the work.

Agents change how much can be automated.

Ontheia changes how fast we can adapt.

Two editions

One foundation. Two ways to organize intelligence.

One person. An organization of agents.

  • You manage several agents, each with its own identity.
  • Each agent has its own roles and governed capabilities.
  • All of them work in one shared Semantic Space, about any domain. No organization to model.

Many people. One coherent organization.

  • People and agents work in one modeled organization.
  • Teams, roles and Domains add shared governance on top of each agent's own.
  • Responsibilities, collaboration and coordinated execution, on the same facts.
What is Ontheia?The film · 5 min · YouTube

What becomes possible

Understand once. Act everywhere.

  • Answers you can checkEvery answer comes with the evidence behind it.
  • Test before you actTry a change on a copy first. The real thing changes only when someone allowed to decides.
  • One rule, consistently appliedA rule holds the same way for every person, agent and application it applies to.
  • Decide onceA decision is recorded once and reaches everyone it concerns.
  • Trace everythingEvery fact and every action keeps its source, its time and who was behind it.
  • Knowledge that evolvesNew evidence is reconciled, never silently written over, and the history stays.

Questions

What people ask first.

Short answers. The film goes deeper.

Which edition do I need?

Ontheia for Agents is for one person and the agents they run: several agents, each with its own identity, working in one shared Semantic Space through MCP or the API. It is free.

Ontheia for Organizations is for teams: people and agents sharing one understanding of the organization, governed across teams, roles and Domains. It is paid. Both run on the same proprietary core.

What is a Semantic Space?

A coherent ontology environment: typed entities, relationships, evidence, rules, Methods and executable Capabilities, shared by every Agent that works in it. It can describe any domain; it does not have to be an Organization.

Definitions persist across sessions and harnesses, and every fact keeps its source and its time.

Is this memory for chatbots?

No. Memory keeps what was said. A Semantic Space keeps typed, reconciled definitions with their evidence, and the Capabilities and Methods through which an Agent may act, under that Agent's own roles and permissions.

How does Ontheia work with ChatGPT, Claude or our own agents?

Ontheia connects through the Model Context Protocol (MCP). ChatGPT and Claude use it today, and any assistant or agent harness that accepts custom MCP connectors can connect the same way.

Each Agent has its own identity, so what it may do depends on its own roles and permissions, not automatically on those of a person.

Where does the data live, and who owns it?

You own your Semantic Space, and an organization owns its model, with everything in it.

Every fact keeps its source, so you always know where a piece of information came from and who can rely on it.

What do I need to get started?

An assistant or agent harness that accepts MCP connectors, and a few minutes. Choose Connect your assistant and follow the steps for Claude, ChatGPT or any other assistant.

The film shows Ontheia for Organizations at work.

Does Ontheia make decisions on its own?

No. Ontheia brings the context, reasons step by step and shows the consequences of the options. An Agent acts only through Methods, under its own roles and permissions.

In an organization, decisions are recorded with who took them and under which authority, and a new rule applies only once someone accepts it.

Start where you are

Connect the agents you run today. Bring your organization when it is ready.

Connecting an assistant starts with Ontheia for Agents, which is free.

  • Claude
  • ChatGPT
  • Any MCP client

What is Ontheia? The film · 5 min