Entropy Data
Entropy Data GmbH is a German data product marketplace platform built on open data contract standards (ODCS, ODPS) and a semantic layer, serving enterprise data, AI/ML, and data engineering teams with self-serve discovery, governance, and natural-language querying for humans and AI agents.
- Company typePrivate
- Founded2025
- HeadquartersMonheim, Germany
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Entropy Data does
Entropy Data GmbH is a German software company founded in 2025 as a spin-off from INNOQ consulting by Dr. Simon Harrer (CEO) and Jochen Christ (CTO), the original authors of the Open Data Contract Standard (ODCS), the Open Data Product Standard (ODPS), datacontract.com, and datamesh-architecture.com. The company operates from Monheim am Rhein, Germany, with a headcount in the 1-10 range, and is privately held with no disclosed external funding rounds.
The company builds Entropy Data, a data product marketplace platform that combines Marketplace (self-service discovery and access), Studio (contract authoring and data product development), Governance (policy and compliance), and Semantics (a shared ontology layer with pre-built ontologies for eight verticals). The platform is built on open standards (ODCS, ODPS, and the Open Semantic Interchange specification), exposed via REST API and an MCP server that lets external AI clients (Claude, ChatGPT, Copilot) discover and query data products. Entropy Intelligence provides a conversational natural-language interface for SQL generation, and the open-source Data Contract CLI enforces contracts in CI/CD pipelines. The platform ships as cloud SaaS hosted in the EU on Microsoft Azure, as a self-hosted deployment (with a free Community Edition on GitHub), and as a single-tenant Enterprise edition.
The business model is primarily per-editor annual SaaS subscription across Starter (free), Team (minimum 10 editors), Business (minimum 25 editors), and Enterprise (minimum 50 editors) tiers, supplemented by self-hosted subscriptions, single-tenant and managed-in-customer-cloud add-ons, and hourly professional services. Go-to-market combines product-led growth through a free tier and 1-click demo with enterprise field sales for the Business and Enterprise tiers. Customers are horizontal enterprise data teams, AI/ML teams building agents that need governed data access, and data engineering teams implementing data contracts. The company is ISO 27001 certified, a member of the Open Semantic Interchange initiative alongside Snowflake, dbt Labs, and 60+ partners, and a participant in Deutsche Telekom's TechBoost startup program.
Entropy Data firmographics
Firmographics- Name
- Entropy Data
- Legal name
- Entropy Data GmbH
- Website
- https://entropy-data.com
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Entropy Data GmbH is a German data product marketplace platform built on open data contract standards (ODCS, ODPS) and a semantic layer, serving enterprise data, AI/ML, and data engineering teams with self-serve discovery, governance, and natural-language querying for humans and AI agents.
- Ownership category
- akta.pro rank
Entropy Data industry classification
Industry- Product category
- Data Product Marketplace Platform
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB)
- akta.pro secondary industries
- Data Sharing & Data Marketplace Governance (HDAEADAK), Data Security & Access Governance for Data (Entitlements/Policy Enforcement) (HDAEADAH), Data Discovery, Classification & Labeling (HDADAFAF)
Keywords
Where Entropy Data is headquartered
LocationHeadquarters
- HQ city
- Monheim
- HQ country
- Germany
- HQ region
- Europe
Offices1 record
Markets served
Entropy Data business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS/Cloud Subscription: Per-editor monthly subscription billed annually. Cloud-hosted version with managed AI options. Tiers: Starter (free), Team, Business, and Enterprise with increasing editor minimums and features.
- Self-Hosted Subscription: On-premise deployment with Team and Business tiers. Bring-your-own-model AI requirement for self-hosted deployments.
- Enterprise Add-ons: Single-tenant hosting, managed in customer cloud, and professional services for individual customization at hourly rates.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Annual | Free tier with full permissions for unlimited data products and contracts |
| Subscription | Annual | Per editor monthly pricing for small teams with advanced management |
| Subscription | Annual | Per editor monthly pricing with customization options |
| Subscription | Multi-year contract | Custom enterprise pricing with dedicated support and deployment options |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels4 records
Entropy Data product offering
Product offeringCore offering
Entropy Data is a data product marketplace platform built on data contracts and semantics that makes high-quality data available for humans and AI agents across an organization. The platform combines a self-service Marketplace for data discovery and access, a Studio for designing and managing data products and contracts, and a Governance module for automated policy compliance. It is delivered as cloud SaaS, self-hosted software, or a free Community Edition, with native support for the Bitol Open Data Contract Standard (ODCS) and Open Data Product Standard (ODPS).
Product overview
Entropy Data is a data product marketplace platform built on data contracts and semantics to make high-quality data available for humans and AI agents. The platform comprises several integrated modules: the core Entropy Data platform with Marketplace (self-service discovery and access), Studio (workspace for data product and contract management), and Governance (policy and compliance management). Supporting capabilities include Semantics (ontological layer for business concepts), Entropy Intelligence (conversational AI interface), and MCP Server (for AI agent connectivity). The platform supports multiple deployment options including Cloud (SaaS), Self-hosted (Community Edition), and Enterprise with advanced features including SCIM, custom roles, test/staging environments, and single-tenant hosting. The open-source Data Contract CLI and Entropy Data SDK enable extensibility. The platform was formerly known as Data Mesh Manager and Data Contract Manager.
Differentiator
Problem solved
Functional benefit
Products and services
- Entropy Data Platform A cloud SaaS and self-hosted data product marketplace platform that uses data contracts and semantics to make high-quality data available for humans and AI agents across an organization. Provides Marketplace for self-service discovery and access, Studio for designing and managing data products and contracts, and Governance for AI-driven policy compliance. Sold to enterprise data teams via per-editor subscriptions with a free Starter tier and Enterprise tier minimum of 50 editors.
- Entropy Data Community Edition A free, self-hosted edition of the Entropy Data platform for organizations that want to run the data product marketplace on their own infrastructure. Includes core features with community support and is downloadable from GitHub. Targeted at developers, evaluators, and small teams.
- Data Contract CLI An open-source command-line tool that allows data engineers to test and enforce ODCS-compliant data contracts in CI/CD pipelines. Sends test results back to Entropy Data and is used to validate data quality before production deployment.
- Entropy Data SDK A Java SDK for building custom integrations and event handlers on top of the Entropy Data platform, enabling developers to react to events and trigger actions in downstream data platforms.
Companies that use Entropy Data
Customer profileSegments3 records
Ideal customer profiles3 records
Entropy Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration24 records
AI capability9 records
Feature7 records
Entropy Data partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core and minor.
- Open Semantic Interchange (OSI)coreEntropy Data has joined the Open Semantic Interchange initiative - a vendor-neutral standard for expressing and sharing business semantics across data and AI platforms. The company is a member of the OSI Ontology Representation Working Group and supports the OSI 0.2.0-draft. OSI was launched by Snowflake, dbt, and has grown to 60+ industry partners.
- INNOQminorFounders Simon Harrer and Jochen Christ worked as consultants at INNOQ before spinning off Entropy Data in 2025. INNOQ remains a partner in terms of ongoing consulting relationships and data mesh methodology.
- SnowflakecoreSnowflake is a co-founder of the Open Semantic Interchange initiative alongside dbt. Entropy Data integrates with Snowflake as a data platform and both are OSI initiative partners working toward semantic interoperability standards.
- dbt Labscoredbt Labs co-founded the Open Semantic Interchange initiative with Snowflake. Both companies are working toward standardized business semantics. Entropy Data uses dbt for data products integration.
Scale indicators2 records
Recent moves8 records
Expansion highlights6 records
Entropy Data competitors and assessment
Company assessmentDirect peers
- DataHub: DataHub is an open-source metadata platform originally built at LinkedIn for data discovery, governance, and data mesh use cases. It is highly comparable to Entropy Data on the data product and metadata layer, though it lacks Entropy Data's native MCP server and ODCS-first contract tooling.
- CastorDoc: CastorDoc is a data discovery and catalog platform with strong emphasis on data contracts, lineage, and self-service analytics. It competes directly with Entropy Data in the data contracts and AI-context space, particularly for modern data stack teams.
- Atlan: Atlan is a modern data catalog and marketplace with strong governance and collaboration features. It is the most direct competitor to Entropy Data's data product marketplace, serving similar enterprise data teams with discovery, access workflows, and AI integrations.
Broad incumbents
- Informatica: Informatica is a large data integration and governance vendor with a catalog and marketplace offering (Informatica Data Marketplace, CLAIRE). It addresses similar use cases as Entropy Data but as part of a much wider data management portfolio spanning integration, quality, and MDM.
- Collibra: Collibra is the established leader in enterprise data governance and cataloging with a broad platform covering stewardship, lineage, and policy. It competes with Entropy Data's governance module but as part of a much larger suite aimed at Fortune 500 data offices.
- Unity Catalog (Databricks): Unity Catalog is Databricks' unified governance solution for data and AI assets, offering discovery, access control, and lineage integrated with the Databricks Lakehouse. It overlaps Entropy Data's marketplace/governance scope for Databricks-native shops, but is bundled with the Databricks platform rather than offered as a standalone product.
- Alation: Alation is a long-standing data catalog and intelligence platform used by large enterprises for data discovery, governance, and analytics. It overlaps with Entropy Data's marketplace and governance capabilities, but offers a broader portfolio without specializing in data contracts or AI-agent connectivity.
Emerging players
- Soda: Soda is a data quality and observability platform that integrates with dbt and modern data warehouses to test and monitor data products. It is adjacent to Entropy Data's data contract testing and quality check capabilities via the Data Contract CLI partnership angle.
- Monte Carlo: Monte Carlo is a data observability platform focused on data reliability, freshness, and quality monitoring. It is adjacent to Entropy Data's data quality and contract-testing capabilities, addressing data trust from a monitoring angle rather than a marketplace/contract angle.
- data.world: data.world is a data catalog and collaboration platform with a marketplace concept for sharing and discovering datasets. It is comparable to Entropy Data's marketplace module, with partial overlap on governance and AI-readiness, though it focuses more on dataset sharing than contract-driven data products.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks3 records
Key highlights7 records
Customer concentration
Entropy Data social profiles
Digital presenceEntropy Data compliance and trust
Trust signalCompliance2 records
Entropy Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
Entropy Data leadership team
Management profileNumber of profiles
Profiles2 records
Entropy Data funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Entropy Data M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Entropy Data
What does Entropy Data do?
Entropy Data is a data product marketplace platform built on data contracts and semantics that makes high-quality data available for humans and AI agents across an organization. The platform combines a self-service Marketplace for data discovery and access, a Studio for designing and managing data products and contracts, and a Governance module for automated policy compliance. It is delivered as cloud SaaS, self-hosted software, or a free Community Edition, with native support for the Bitol Open Data Contract Standard (ODCS) and Open Data Product Standard (ODPS).
Is Entropy Data a public or private company?
Entropy Data is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Entropy Data founded?
Entropy Data was founded in 2025. It employs 1 to 10 people.
Where is Entropy Data based?
Entropy Data is headquartered in Monheim, Germany, in the Europe region.
How does Entropy Data make money?
Three revenue lines are on record. SaaS/Cloud Subscription is the primary driver. The others are self-Hosted Subscription and enterprise Add-ons.
Who are Entropy Data's main competitors?
Direct peers on record are DataHub, CastorDoc and Atlan. Broad incumbents are Informatica, Collibra, Unity Catalog (Databricks) and Alation. Emerging players are Soda, Monte Carlo and data.world.
Does Entropy Data have an API?
Yes. Entropy Data provides a REST API for integrating with other applications and data platforms. The API supports programmatic access to data products, data contracts, access management, business definitions, assets, domains and teams, source systems, integrations, events, and example data. The API documentation is available at api.entropy-data.com/swagger/index.html. Authentication is via API keys (x-api-key header). Enterprise Edition includes SCIM 2.0 for user provisioning via POST /api/scim/v2. Events are published via HTTP Feed endpoint in CloudEvents format. Developer documentation is at api.entropy-data.com/swagger/index.html.
What industry is Entropy Data in?
Entropy Data's product category is Data Product Marketplace Platform. Its primary akta.pro industry code is HDAEADAB, Data Governance Platforms (Policies, Stewardship, Workflows), with a secondary code of HDAEADAK, Data Sharing & Data Marketplace Governance. Its NAICS code is 513210 and its SIC code is 7372.