Contract-driven development for data products: write what you want as an ODCS data contract, then let Claude Code, OpenAI Codex, or GitHub Copilot CLI implement it in minutes, following your conventions via open-source skill repositories and fully integrated with Entropy Data.
One year ago we spun off from INNOQ to found Entropy Data. A look back at our first year: a rebrand, ISO 27001, open standards leadership, a packed product roadmap, and customers across three continents.
Annotated TDWI München 2026 talk by Dr. Simon Harrer (Entropy Data) on the open standards for data products (ODCS, ODPS, and OSI), the open-source tooling around them, and a live demo of a coding agent building a data product from a contract.
Annotated DATA Festival 2026 talk by Dr. Simon Harrer (Entropy Data) on why AI agents need a data marketplace, to read enterprise data through governed tools and to build new data products, with two live demos.
Annotated slide notes from Jochen Christ's (Entropy Data) talk on two paths to a data product: the traditional data-first route and the contract-first route, with data contracts, ODCS, the Data Contract CLI, and a coding agent that builds the product from the contract.
The Data Contract CLI, the standard open-source tool to test, lint, import, and export data contracts with native ODCS support, reaches its first major version: fewer dependencies, Python 3.13/3.14 support, improved Databricks auth, failed-row samples for debugging, and a hardened Docker image.
Entropy Data has joined the Open Semantic Interchange (OSI), the vendor-neutral standard for business semantics across data and AI platforms. We are contributing to the ontology effort and already support the OSI 0.2.0-draft.
A new BARC Spotlight by analyst Florian Bigelmaier, sponsored by Entropy Data, makes the case that AI agents need the same trustworthy, governed data foundation as humans: a data marketplace built on data products and data contracts.
Our paper “Data Contracts: Structuring Promises and Expectations in Data Exchange” has been accepted for publication in the IEEE ICWS 2026 proceedings, a general concept of data contracts spanning provider and consumer promises and expectations.
Entropy Data now integrates deeply with Microsoft Power BI: business lineage, semantics, ownership and governance extend from your data products all the way into your reports and dashboards.
Entropy Data is one of five finalists for the BARC Start-up Award for Data & AI 2026 and will pitch live at the DATA festival in Munich, June 16–17, 2026.
Annotated JAX 2026 talk by Dr. Gernot Starke (INNOQ) and Dr. Simon Harrer (Entropy Data) on why software engineering forgot data, how data contracts fix it, and a live demo of an AI agent answering business questions on top of contract-backed data products.
A shared ontology of business concepts and relationships, linked to data products and data contracts. Semantics lets teams agree on one definition per term and gives AI agents the context they need to query data correctly.
Annotated talk by Dr. Simon Harrer at the INFOMOTION Data & AI Meetup Cologne on data contracts, covering the Open Data Contract Standard (ODCS), open source tooling, best practices, and why agentic AI will make data contracts ubiquitous.
Annotated talk by Jochen Christ at the TDWI Roundtable Münster on data contracts, covering the Open Data Contract Standard, contract-first design, data quality testing, and governance for AI agents.
Annotated keynote by Dr. Simon Harrer on how AI agents transformed his work, from agentic coding to enterprise data governance. Includes all 47 slides, an English transcript, and the Q&A session.
Annotated guest talk by Dr. Simon Harrer at Purdue University on how AI can chat with enterprise data while enforcing data governance policies, using data products, data contracts, semantics, and access agreements as metadata.