# Ataccama Launches Data Products and Joins Open Semantic Interchange > Source: > Published: 2026-06-02 20:41:21.964167+00:00 # Ataccama Launches Data Products and Joins Open Semantic Interchange Ataccama announced new data product capabilities in **Ataccama ONE** and joined the **Open Semantic Interchange** consortium, per a GlobeNewswire press release on June 2, 2026. The release describes that core business concepts-Customer, Transaction, Supplier, Asset-become governed data products with a designated owner, verified definition, and an **Ataccama Data Trust Index** score. GlobeNewswire says those trust scores and context are delivered through Ataccama's **MCP Server** into **Snowflake CoCo**, **Cortex CoWork**, and enterprise AI tools to provide a single, AI-ready view of business data. The release states the Data Trust Index scores products across data quality, ownership completeness, and business context to indicate fitness for use. ### What happened Ataccama announced new data product capabilities in **Ataccama ONE** and its membership in the **Open Semantic Interchange** consortium, per a GlobeNewswire press release dated June 2, 2026. The release states that organizations can define core business concepts-Customer, Transaction, Supplier, Asset-as governed data products with a named owner, a verified definition, and an **Ataccama Data Trust Index** score. GlobeNewswire reports those trust scores and business context are delivered via Ataccama's **MCP Server** into **Snowflake CoCo**, **Cortex CoWork**, and enterprise AI tools to expose a single, trusted, AI-ready version of business data. ### Technical details Per the GlobeNewswire press release, the **Ataccama Data Trust Index** continuously scores each data product across **data quality**, **ownership completeness**, and **business context**. The release describes that Ataccama ONE organizes data around business meaning and maps each data product to all datasets that hold that information across systems, applying governance and authoritative-source metadata at the concept level. The release frames the MCP Server as the runtime conduit that surfaces governed business context and Data Trust Index signals to downstream tools. ### Editorial analysis - technical context Companies exposing semantic metadata and evidence-based trust signals alongside data reduce ambiguity for downstream AI processes such as retrieval-augmented generation and agent workflows. Industry-pattern observations show that attaching provenance, quality metrics, and ownership metadata to business concepts helps automated systems make defensible decisions and simplifies policy enforcement when models access enterprise data. ### Industry context Public reporting places this announcement within a broader trend where data-governance vendors and platform providers integrate to supply "trust layers" for enterprise AI. Snowflake-centric deployment paths, including integrations with collaboration and AI workbench features like **Snowflake CoCo** and **Cortex CoWork**, reflect increasing demand for runtime access to governed semantics rather than just raw tables. ### What to watch - •Adoption signals for these data-product APIs within Snowflake-driven stacks, such as connector listings or case studies. - •How the **Ataccama Data Trust Index** maps to enterprise SLAs and whether third-party tools consume the trust signals. - •Open Semantic Interchange specification uptake and practical interoperability between vendors sharing semantic metadata. ## Scoring Rationale This is a notable product integration for enterprise data governance and AI readiness, especially for Snowflake-centered deployments. It is not a frontier-model or platform-shifting release, but it matters for practitioners building auditable, production AI pipelines. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)