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Poesis

Define the world in software; generate it.

Harnessing generative AI for an age of governed synthetic autopoiesis.

Every organization runs on definitions — architectures, obligations, processes, constraints — scattered across documents that drift from reality the day they are written. Poesis turns them into one governed, machine-readable source of truth that generative AI can safely act on: continuously evaluated, automatically realized, always under human oversight.

That is what makes synthetic autopoiesis realizable: for the first time, systems can continuously regenerate their own organization through generative AI while staying grounded in explicit definitions of the world, systemic governance, and human disposition.

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Portfolio

An innovative solutions stack for the challenges of the new automation era — challenges every domain is only beginning to face.

Each layer feeds the next, closing the Think → Build → Run loop — systematically, autonomously, and always with humans in the loop.

Domain Intelligence Platform · Solution

ITIP

The IT Intelligence Platform — for IT organizations to define, govern, regulate, supervise their IT landscape as a single source of truth, and generate automatically any sort of IT artifacts from, simulate various types of impacts, and evaluate IT compliance to any governance and regulation.

Products

Web Application v0.1

The application every IT profile works in — for defining, governing, regulating, and supervising their IT landscape.

current v0.1
  1. v0.1
  2. v1.0
  3. v1.1
  4. v1.2
  5. v1.3
  6. v1.4
  7. v1.5
Features

Definition Blackboard Code Sourcer v0.0

Automatic truth sourcing — GSM Definitions authored from your real IT artifacts, continuously, instead of by hand.

current v0.0
  1. v0.0
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Features
Engine · Solution

SIE

The Systemic Intelligence Engine — reference implementation of GSM. What Kubernetes is to software infrastructures, the Systemic Intelligence Engine is to the world. Both are declarative reconciliation engines: you define the desired state as typed, versioned, API-managed objects, and the engine continuously evaluates the real world against that definition and acts to close the gap. From virtualized and managed computing resources to virtualized and managed world resources. This is the logical and natural evolution path as we enter the generative AI era. The key to this evolution path is the systemics model: GSM. This evolution enables generative AI to operate a capable and trustworthy synthetic autopoiesis.

Products

Definition Manager v1.0

The authoritative API, lifecycle enforcer, and store of every governed GSM Definition — the heart of the engine.

current v1.0
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Features

Operator v0.1

The GSM Definition runtime — for evaluating and executing GSM Definitions such as Norms and Mechanisms.

current v0.1
  1. v0.1
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Features

Definition Blackboard Manager v1.0

The shared board where humans, AI, and tools think together about what your systems are — partial views composed into definition proposals.

current v1.0
  1. v1.0
Features
Standard Model · Solution

GSM

The Generative System Model — the vendor-neutral standard for defining systems — being to the world's THINK-BUILD-RUN of itself what OpenTelemetry semantic convention is to IT's systems observability — grounded in systemics, synthesizing Beer’s cybernetics Viable System Model, von Bertalanffy’s General System Theory, Wiener and Ashby’s cybernetic feedback and requisite variety, and Maturana and Varela’s biological theory of autopoiesis into a single generative definition of systems.

Products

Specifications v1.0

The core spec — eight primitives, DNA grammar, Archetyping, and the systemic lifecycle.

current v1.0
  1. v1.0
  2. v1.1
Features

Ontology v0.1

Domain, standard, and legal vocabularies — sourced into GSM, ready to enforce.

current v0.1
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  3. v1.x
Features

Research Lab v1.0.0-beta.1

The non-normative research product — the Generative Governance program, promoted into GSM Change Proposals when it graduates.

current v1.0.0-beta.1
  1. v1.0.0-beta.1
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Features

Domains

One systemic axis, applied domain by domain.

The stack is generalist by design — each domain gets its own application of the same governed definitions. Start from yours.

First domain — shipping

Poesis for IT

Define, govern, and prove your IT landscape — enterprise architecture, continuous compliance, impact simulation — through one governed source of truth, delivered by ITIP.

Enter the IT domain
Emerging domain

Poesis for Research

Constitute open-ended and agentic research as a governed institution — hypotheses with identity and lifecycle, evidence with provenance, obligations with owners, verdicts that are deterministic.

Enter the Research domain

Services

Enter the generative AI era with Poesis experts at your side.

Transformation, managed cloud, sovereign deployment, or certified delivery capability — four ways in, with one constant: an explicit boundary of ownership, risk, and support, agreed before any work begins.

Transformation

Consulting

AI-generative and agentic transformation, grounded in systemic governance and focused first on the organization of IT.

Explore Consulting
Managed cloud

SaaS

A managed cloud path for owning the Poesis stack without operating its underlying platform engineering.

Explore SaaS
Capability building

Certification

A Poesis-owned certification path for practitioners and partners delivering systemic, governed AI transformation.

Explore Certification

Talk to us

Partnership proposals

Build the future of generative AI together.

We partner with model providers, systems integrators, and research groups to ground generative capabilities in systemic governance.

LLM vendors

LLM Vendor Partnership

What the Poesis stack brings to LLM capabilities — and what LLMs bring to Poesis. Models propose; humans dispose through ITIP; SIE evaluates constraints and executes governed Mechanisms.

Read the value proposal

Insights

How Poesis is applied, argued, and advanced.

Case studies and research notes on governed synthetic autopoiesis, systemic IT governance, and agentic delivery.

Research

Agentic AI governance that executes

Regulators, consultancies, and research journals converged this year on the same conclusion: as AI agents gain authority, governance becomes the primary constraint. We think that consensus is right, and this note develops the question it opens — how governance can operate at the tempo of what it governs — through an old cybernetic principle and the four design commitments we arrived at when we tried to honor it.

Read Agentic AI governance that executes
Research

Agentic SAFe: running the Scaled Agile Framework with AI agents

Of everything the agentic era is reaching for, a method may matter most. SAFe already solved the problem agent builders are rediscovering — how to get reliable delivery out of many bounded, fallible workers — which is why we chose to run it with agents rather than invent a new coordination scheme. This note develops the reasoning and shares what running SAFe agentically actually looks like.

Read Agentic SAFe
Research

The digital twin of an organization starts with its IT landscape

The digital twin is one of engineering's most trusted patterns: a live model, continuously fed from the real asset, that you act on before touching reality. Extending it to the organization itself is the right ambition — and it inherits a hard question the physical version never had to ask: what are the sensors, and what is the physics? We share what we learned building one, and why the answer begins in IT.

Read The digital twin of an organization starts with its IT landscape
Research

The autonomous enterprise runs on a definition of itself

The autonomous enterprise is becoming a serious category, built on a genuinely useful distinction: automation executes procedures, autonomy decides. This note brings a piece of systems theory to the conversation — autonomy has a precise meaning in the biology of cognition, and taking it seriously suggests what the category’s foundation has to be: an explicit, governed definition of the enterprise itself.

Read The autonomous enterprise runs on a definition of itself

Browse all insights

Our first custody

Poesis runs on Poesis.

We are our own first customer. The Poesis stack that will integrate your systems already define, build, and govern ours — Poesis's development power rests on the very stack it ships.

Self-governed stack

Every Poesis repository — engine, applications, these sites — is defined and governed as GSM Definitions on Poesis's own platform.

29 appraisal indicators

Continuous compliance measures and findings, designed across seven governance classes and computed from the model — not reconstructed for audits.

Ontologies sourced

TOGAF, ISO 25000-series, GDPR, NIS2, SCAP, and a growing catalogue of protocol vocabularies — published as composable GSM schemas.

Open & inspectable

The GSM specification is published source-available (BUSL-1.1) and developed in the open as a candidate open standard.

Explore ITIP Explore SIE Explore SAF See it on GitHub