# Duodata

> Business-approved metrics for AI, semantic layers, and data platforms.

Duodata is the business-approved metrics layer where business and data teams agree on what a metric means, then push that definition into AI assistants, Snowflake, Databricks, Microsoft Fabric, and BI tools.

Pricing: Free ($0, 1 Metric Steward), Teams ($80 / Metric Steward / month, billed annually), Enterprise (from $50,000 / year). Viewers are unlimited and free on every plan. Details: https://duodata.ai/pricing

- [Full content (all pages and blog posts)](https://duodata.ai/llms-full.txt)

## Pages

- [Home](https://duodata.ai/) ([Markdown](https://duodata.ai/content/index.md)): Business-approved metrics layer for data and business teams.
- [Pricing](https://duodata.ai/pricing) ([Markdown](https://duodata.ai/content/pricing.md)): Plans: Free ($0, 1 Metric Steward), Teams ($80 / Metric Steward / month, billed annually), Enterprise (from $50,000 / year).
- [About](https://duodata.ai/about) ([Markdown](https://duodata.ai/content/about.md)): The team and mission behind Duodata.
- [Resources](https://duodata.ai/resources) ([Markdown](https://duodata.ai/content/resources.md)): Articles, team news, and product updates.
- [Glossary](https://duodata.ai/glossary) ([Markdown](https://duodata.ai/content/glossary.md)): Metrics glossary: Metrics Ontology, metrics layer, semantic layer, context layer, MCP and more.
- [Metrics layer vs. semantic layer](https://duodata.ai/metrics-layer-vs-semantic-layer) ([Markdown](https://duodata.ai/content/metrics-layer-vs-semantic-layer.md)): Why the metric estate, calculation lineage and value driver lineage belong above the data model, and how Duodata links both into semantic layers.
- [FAQ](https://duodata.ai/faq) ([Markdown](https://duodata.ai/content/faq.md)): What Duodata is, how it differs from semantic layers, catalogs and data governance, which platforms it supports, and what it costs.
- [Partners](https://duodata.ai/partners) ([Markdown](https://duodata.ai/content/partners.md)): Implementation and technology partners.
- [Security](https://duodata.ai/security) ([Markdown](https://duodata.ai/content/security.md)): Security posture and vulnerability disclosure.
- [Trust](https://duodata.ai/trust) ([Markdown](https://duodata.ai/content/trust.md)): Trust center: architecture, encryption, access control, compliance.
- [Licensing FAQ](https://duodata.ai/licensing) ([Markdown](https://duodata.ai/content/licensing.md)): Licensing FAQ: Metric Stewards, free Viewers, pricing examples.
- [Demo](https://duodata.ai/demo): Book a guided walkthrough of Duodata.
- [Get started](https://duodata.ai/start): Create a free workspace and define your first metric.
- [Blog](https://duodata.ai/blog): Articles on the metrics layer, governance, and AI.

## Blog posts

- [Why a data catalog isn’t enough for AI to talk to your data](https://duodata.ai/blog/why-a-data-catalog-isnt-enough-for-ai): Five things AI needs to talk to your data platforms — and that a data catalog does not deliver.
- [The Great Spreadsheet Wars: Why Your Modern Data Stack Still Needs a Translator](https://duodata.ai/blog/the-great-spreadsheet-wars-why-your-modern-data-stack-still-needs-a-translator): In this post, Shawn Johnson explains why analytics problems are really semantic problems. Different teams define the same metrics differently, dashboards drift, and trust erodes. He shows how a business-approved metrics layer brings shared meaning back to data, reduces governance friction, and gives AI the context it needs to produce reliable answers. The takeaway: speed without shared meaning is expensive chaos. Fix the context, not the pipes.
- [Creating a New Category: The Hardened Conceptual Metrics Layer](https://duodata.ai/blog/creating-a-new-category-the-hardened-conceptual-metrics-layer): Metric chaos isn’t a dashboard problem; it’s a meaning problem. Learn why semantic drift happens, why AI amplifies it, and how a hardened conceptual metrics layer creates business-approved metrics everyone trusts.

## Product updates

- [How to enable self-service data analytics with AI](https://duodata.ai/product-updates/self-service-analytics-with-ai)
- [July 2026 Product Update](https://duodata.ai/product-updates/2026-07)
- [June 2026 Product Update](https://duodata.ai/product-updates/2026-06)

## Optional

- [Privacy Policy](https://duodata.ai/privacy) ([Markdown](https://duodata.ai/content/privacy.md)): Privacy policy.
- [Terms of Services](https://duodata.ai/terms) ([Markdown](https://duodata.ai/content/terms.md)): Terms of service.
- [California Privacy Notice](https://duodata.ai/california-privacy) ([Markdown](https://duodata.ai/content/california-privacy.md)): California privacy notice.

## Contact

- Email: contact@duodata.ai
- Security: security@duodata.ai