Ataccama, the data trust company, announced it will launch an open-source converter that carries governed business definitions and current data quality signals into Apache Ossie (Incubating).
Apache Ossie is the open semantic specification originally introduced by Snowflake as Open Semantic Interchange (OSI) and now an Apache Software Foundation incubating project. The converter lets AI agents and analytics tools read what enterprise data means and whether it is currently reliable enough to use, according to Ataccama.
Because Ataccama evaluates quality in the source systems where data originates as well as across cloud data platforms, those trust signals travel across AI and analytics environments without requiring the underlying data to live on a single platform.
“An open semantic standard promises that enterprises can define their business once and carry that understanding across the tools that use it,” said Josh Klahr, head of product management at Snowflake. “Ataccama is extending that portability to data quality, giving organizations a consistent way to make those signals available across platforms rather than rebuilding them for each environment. That is an important contribution as enterprises connect more of their data to AI.”
Ataccama combines the two capabilities this architecture requires: governed business context that establishes what data means and continuously evaluated data quality that shows whether it is fit to use.
The converter brings both from Ataccama ONE into Apache Ossie, and Ataccama's MCP Server gives agents access to deeper evidence when they need to reason about a quality issue, the company said.
Those signals show whether data is currently meeting its quality threshold and whether Ataccama has identified active quality issues, eliminating the need for quality indicators to live in separate dashboards waiting for someone to spot a problem.
An agent can use those signals at the point of use, factoring data quality into its reasoning before producing an answer or acting. The signals travel with the semantic definition, making the same view of data quality available wherever that definition is used.
“AI exacerbates the impact of incorrect data,” said Jessica Smith, chief product officer at Ataccama. “In the BI era, bad data typically got caught because it conflicted with something already known—another report, a trusted baseline, someone's memory of the last board deck. AI agents need that same level of operational perspective. An agent may know what revenue means, but not whether the revenue data it's reading is complete or current, and it will still produce a convincing answer. Opening our converter to Apache Ossie will help agents inherit the context that people used to supply, and the critical ability to know whether data should be trusted, thanks to Ataccama's data quality signals now available in the semantic layer itself.”
Ataccama will open-source the converter so quality context can move with a semantic definition wherever it goes, rather than becoming another proprietary layer that organizations have to rebuild for every platform.
The converter will join contributions to Apache Ossie from across the data ecosystem, including Snowflake, Databricks, and dbt.
The converter is the latest step in Ataccama’s work to make trusted enterprise data accessible and actionable for AI, extending how agents can access, understand, and assess enterprise data through capabilities including its MCP Server and ONE AI Agent, the company said.
For more information about this news, visit www.ataccama.com.