Dr. Kai Stalmann · qantr GmbH · Berlin

I architect systems that automate expert knowledge work.

And I design them to be deterministic, traceable and explainable: the reasoning lives in formal ontologies and rules, language models are confined to language, and people make the decisions.

Substrate
Formal ontology, rules, graph queries, deterministic ordering. This is where the reasoning happens, and it runs without a language model.
Deterministic
Language
The model phrases prose. Nothing else. Every call is recorded in a trace store.
Traceable
People
A review gate before any output is used. The expert decides, the system explains.
Explainable
01 — What I build

Axibra, a Methodology Operating System for strategy consulting.

Axibra delivers the UNITE Body-of-Knowledge, more than two hundred strategy frameworks, methodology modules and pattern libraries over a formal ontology, as a runtime for consultants. I own its architecture as Founding CTO, and I do the product development, the ontology engineering and the Go development that goes with it.

Single Go binary with embedded UI at the client One process per user Central services assist, never gate EU-only data residency Project state versioned on disk with embedded git Framework selection runs LLM-free by default
Deterministic

Graph queries over the ontology, a rule-based term index, an algorithmic DAG orderer and byte-deterministic catalog vectors. The guarantee does not depend on a model returning the same answer twice.

Traceable

Every AI call lands in a trace store. Every model output passes a consultant review gate before it is used.

Explainable

Because the reasoning is a graph and a set of rules, every result can be walked back to the frameworks and relations that produced it.

Designed for a ladder of regulatory regimes
Tier 0
Banking, unclassified · DORA, MaRisk, BAIT, EBA Outsourcing, GDPR, ISO 27001
Tier 1
Insurance · VAIT, Solvency II ICT outsourcing, DORA, EU AI Act, GDPR
Tier 2
Public sector · BSI IT-Grundschutz, NIS2, eIDAS 2.0, EU AI Act
Tier 3
Banking, classified · DORA Art. 9, BAIT, MaRisk, customer-managed deployment
Tier 4
Public procurement, strict C5 · BSI C5:2020 Type 2, NIS2, eIDAS 2.0, EVB-IT
Tier 5
Defence, VS-NfD · BSI VSA, TR-03145
Tier 6
VS-Vertraulich and above · out of scope for v1 and v2
Designed to pass at v1Forward-compatibleOut of scope
02 — How I build

fusion. Agentic development as an engineering discipline, not a demo.

fusion is the harness I built to develop software with coordinated AI agents and human developers in one team. It is the method behind Axibra, and it is separate from it. The articles trace how it came about.

≈ 20 developers per projectPer repository, by our own measurement of commits and lines of code, fusion delivers what a team of about twenty developers would. Across all projects that is around 900 commits and more than 100,000 lines of code a month, on roughly 20 billion tokens. The measurement method is documented, and a person decides at every gate.
  • Specialised rolesRequirements design, planning, implementation, review, state audit, analysis, policy curation, orchestration. Each role has one prompt and one job.
  • Shared conventionsEvery agent and every developer works to the same rules, recorded in an append-only event log that is never rewritten.
  • Human gatesNothing lands without a decision by a person. Agents prepare; people rule.
  • Team coordination via gitfusion splits work so that dependencies between work items are respected and merge conflicts are reduced, for humans and agents alike.
  • Two adaptersOne for Claude Code. One for model APIs: Anthropic, OpenAI, and locally running models. No vendor lock-in, and local models for environments that require them.
03 — Who I am

Three decades of software, AI and semantics.

I have built software since the early days of the web, from startups to government projects. A postgraduate degree in computational linguistics and a PhD in the humanities are the reason semantics and ontology engineering run through all of it as one continuous thread.

I am a single father. I care about human values and stand for democracy, human dignity, freedom and equality.

One thread, sixteen years
2010
Deutsche Digitale Bibliothek

Lead developer and technical project lead at Fraunhofer IAIS. Metadata of 300 million cultural-heritage objects integrated over CIDOC CRM. The platform is still in operation and became the technical basis of the ARD Mediathek.

2018
Allianz SE

An event-centric model of my own design, as the ontology that harmonises globally distributed databases into one data warehouse.

2026
Axibra

UEOF and UIF, the formal ontology under a Methodology Operating System. Same approach, now as the substrate of an AI product.

Selected positions
2026 Founding CTO, Axibra
2025 Platform engineer, streaming data mesh, Siemens Smart Infrastructure
2024 Principal AI consulting partner, Reeeliance, for Allianz
2021–23 CTO and co-founder, L1R1 Technologies
2019 Interim CTO, group-wide SSO for 20M+ customers, Deutsche Bahn
2018 Ontology engineer, Allianz SE · KYC onboarding, Julius Bär
2016 Technical architect, Digital Humanities infrastructure, Max Planck
2013 CTO and Co-CEO, Optile, later acquired by Payoneer
2012 Managing director, group-wide paywall and identity, Axel Springer
2010 Technical lead, Deutsche Digitale Bibliothek, Fraunhofer IAIS
2008 Head of engineering, ISR Information Products
1999 Senior engineer, POET Software
04 — Writing

Seven pieces on building with AI, written while building fusion.

They read best in order: how Claude Code works and how to extend it, why agile breaks when AI writes the code, the model that replaces it, its foundation, an essay on what the tools do to their makers, and a report from the implementation.

  1. Understanding Claude CodeJanuary 2026
  2. Extending Claude CodeJanuary 2026
  3. Beyond Agile: Project Management for AI-Driven DevelopmentFebruary 2026
  4. Foundation: Konzeptionelle Grundlage für AI-gestützte ProjektarbeitFebruary 2026 · German
  5. Fusion: A Process Model for AI-Driven Software DevelopmentFebruary 2026
  6. The Maker's ParadoxFebruary 2026 · also in German
  7. Implementing Fusion: A Process Layer for AI-Driven DevelopmentMarch 2026

All writing

05 — Open source

Tooling I use myself, published as tenzoki.

Claude Code plugins
  • fusionThe agentic development harness.
  • flightOne calm agent for non-technical users: documents, discussion, precise written output.
  • scoutCited multi-source web research, one report per run.
  • stilwerkStylometry, authorship attribution, style transformation.
  • callscopeCompiler-grounded change impact for Rust workspaces.
Libraries and tools
  • gooidcOIDC and JWT utilities for Keycloak and Entra ID.
  • godastKey-value, graph, content-addressable storage and search on BadgerDB.
  • gblobsDeduplicated, optionally encrypted blob store.
  • cuecastStateless BPMN-subset process engine.
  • krkTwo-pane file manager with editor for macOS, Norton-Commander style, with git view.
06 — Contact

If your organisation needs AI that can pass an audit, let's talk.