Ataccama, the data trust company, will open-source a converter that carries governed business definitions and current data quality signals into Apache Ossie Incubating. Apache Ossie is open semantic specification originally introduced by Snowflake as Open Semantic Interchange OSI and now Apache Software Foundation incubating project. Converter lets AI agents and analytics tools read what enterprise data means and whether it is currently reliable enough to use. Because Ataccama evaluates quality in source systems where data originates as well as across cloud data platforms, those trust signals travel across AI and analytics environments without requiring underlying data to live on single platform. Announcement was made from Boston on September 9, 2026.
Distinction between data meaning and reliability becoming critical as AI takes on more consequential work. Semantic layers give agents consistent understanding of business data so they know, for example, what revenue means, which records represent customer, and how to calculate metric. However perfectly defined metric can still produce wrong answer if underlying data incomplete, late, or failing critical quality check. As AI moves from helping people interpret information to recommending decisions and taking action with less human review, quality of underlying data has to become part of context AI uses to reason.
"An open semantic standard promises that enterprises can define their business once and carry that understanding across tools that use it," said Josh Klahr, Head of Product Management at Snowflake. "Ataccama is extending that portability to data quality, giving organizations consistent way to make those signals available across platforms rather than rebuilding them for each environment. That is important contribution as enterprises connect more of their data to AI."
Ataccama combines two capabilities architecture requires: governed business context that establishes what data means, and continuously evaluated data quality that shows whether it is fit to use. Converter brings both from Ataccama ONE into Apache Ossie, and Ataccama MCP Server gives agents access to deeper evidence when they need to reason about quality issue.
Signals show whether data currently meeting quality threshold and whether Ataccama identified active quality issues, eliminating need for quality indicators to live in separate dashboards waiting for someone to spot problem. Agent can use those signals at point of use, factoring data quality into reasoning before producing answer or taking action. Signals travel with semantic definition, making same view of data quality available wherever definition is used.
"AI exacerbates impact of incorrect data," said Jessica Smith, Chief Product Officer at Ataccama. "In BI era, bad data typically got caught because it conflicted with something already known. AI agents need same level of operational perspective. An agent may know what revenue means, but not whether revenue data its reading is complete or current, and it will still produce convincing answer. Opening converter to Apache Ossie will help agents inherit context that people used to supply, and critical ability to know whether data should be trusted, thanks to Ataccama data quality signals now available in semantic layer itself."
Ataccama will open-source converter so quality context can move with semantic definition wherever it goes, rather than becoming another proprietary layer. Converter will join contributions to Apache Ossie from across data ecosystem, including Snowflake, Databricks, and dbt.
Converter will enable data trust through AI-readable quality warnings, continuously updated trust signals fresh from Ataccama checks, trust evidence on demand through MCP retrieving details such as which quality checks failed and records affected, and portable trust from source to AI evaluating quality in source systems and across cloud platforms then carrying signals into AI through Ossie-compliant YAML.
About Ataccama
Ataccama provides only end-to-end agentic data trust platform that helps organizations accelerate AI, reduce risk, and modernize data at enterprise scale. Ataccama ONE sits between enterprise data and AI orchestration, ensuring trusted data powers every model, agent, and business decision. Platform unifies data quality, observability, catalog, lineage, reference data management, and master data management in single solution, while embedded ONE AI Agent acts as digital data steward. Recognized as Leader in 2026 Gartner Magic Quadrant for Augmented Data Quality, 2026 Forrester Wave for Data Quality Solutions, and 2025 Gartner Magic Quadrant for Data and Analytics Governance.
