Blog

Thoughts on enterprise modeling, knowledge graphs, and digital twins.

Literate Graphs: How metapad Runs Our workOS

2026-06-02
Dr. Oliver GraslDr. Oliver Grasl

transentis runs its own business on metapad. This post opens up two of our working models — a marketing model that holds our strategy, brands and content as a queryable graph, and a masterdata model that acts as a digital twin of the practice, with a real-time view of our sales, project and financial KPIs. A worked example of the workOS pattern, from the inside.

Read more →

A Second Brain on Metapad: A Zettelkasten TemplateYou Can Fork

2026-05-26
Dr. Oliver GraslDr. Oliver Grasl

Your notes are everywhere and nowhere — scattered across apps, folders and half-finished systems. We show why a knowledge graph makes a better second brain than a pile of documents, walk through metapad's features for personal knowledge management, and give you a Zettelkasten-style template you can fork and make your own.

Read more →

A Computational Knowledge Graph of Your Enterprise

2026-05-19
Dr. Oliver GraslDr. Oliver Grasl

Prospects keep trying to fit Metapad into a category it doesn't belong to. The clearest definition is sometimes the negation: Metapad is not a wiki, not a spreadsheet, not a whiteboard, not a static diagramming tool. What it is is a tool for building computational knowledge graphs — connected, living, queryable, conversable maps of an enterprise that you can talk to and watch grow as the conversation unfolds. The graph doesn't just describe your business — it runs it: at transentis we use these graphs for marketing, masterdata (our internal digital twin), CVs and project references, systems documentation, and — with our clients — their operating models. Websites, manuals, RFPs, and dashboards are projections of the same graph.

Read more →

How We Build Metapad with Metapad: Conversational Modelling as a Way of Working

2026-05-12
Dr. Oliver GraslDr. Oliver Grasl

Most conversations with an LLM end when the tab closes — and most of the thinking that happened in them goes with the tab. We use Metapad to fix this: every conversation becomes a typed graph the next conversation can read. This post walks through the loop we've settled into — conversation, metamodel, graph — and why it changes how the team thinks together.

Read more →

Transparency in Supply Chains Through AI

2026-04-27
Dr. Oliver GraslDr. Oliver Grasl

What if you could track every step of your supply chain—from ingredient to finished product? What if you could instantly understand how changes at one supplier affect your entire production line?

Read more →

Meet Our Enterprise Knowledge Graph Demonstration

2026-04-17
Dr. Oliver GraslDr. Oliver Grasl

What if you could have a conversation with your entire business? What if every strategy session started with perfect knowledge of how every piece of your organization connects, competes, and creates value? We've built an enterprise ontology of a carsharing business and transformed it into an intelligent knowledge graph that you can actually talk to.

Read more →

Building Metapad: An AI-First Engineering Story

2026-02-15
Dr. Oliver GraslDr. Oliver Grasl

We haven't written a single line of Metapad's code by hand. Every component, algorithm, WebSocket handler — generated by AI, guided by humans. Here's how the process actually works, and what it taught us about where engineering is going.

Read more →

Metamodels vs. Ontologies: Two Paths to Structured Knowledge

2026-02-15
Dr. Oliver GraslDr. Oliver Grasl

Are metamodels and ontologies different disciplines or the same idea in different vocabularies? More overlap than most people realize — but the differences matter. Metapad's choice: metamodeling as the interface, with ontology-grade expressiveness underneath.

Read more →

Model Before You Change: Why Enterprise Transformation Needs Digital Twins

2026-02-15
Dr. Oliver GraslDr. Oliver Grasl

60–70% of enterprise transformations fail to hit their objectives — not because the vision was wrong, but because no one truly understood the starting point. The fix: build a model first, then explore, design, and transform with confidence.

Read more →

Why Knowledge Graphs?

2026-02-15
Dr. Oliver GraslDr. Oliver Grasl

Spreadsheets flatten relationships, documents bury them, relational schemas freeze them. Knowledge graphs make connection itself first-class — and that's why they matter for AI, for complex enterprises, and for the questions strategy actually has to answer.

Read more →

Metapad Newsletter

Occasional email on digital twins, computational knowledge graphs and what is new in Metapad. A few times a year, never more than once a month.

We send a confirmation email first — you are only subscribed once you click the link in it. Unsubscribe any time. See our privacy policy.

This content was written collaboratively with AI.