Ataccama Launches Data Products and Joins Open Semantic Interchange

Ataccama announced new data product capabilities in Ataccama ONE and joined the Open Semantic Interchange (OSI) consortium, per a GlobeNewswire press release on June 2, 2026, timed to Snowflake's annual user conference, Snowflake Summit 26. The release says core business concepts, such as Customer, Transaction, Supplier, and Asset, become governed data products with a named owner, a verified definition, and an Ataccama Data Trust Index score, described as a weighted score from 0 to 100 spanning data quality, ownership completeness, and business context. Per GlobeNewswire, 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. Ataccama said it is joining OSI as a collaborator and acting as a launch partner for Snowflake's Agentic Data Sharing program.
What happened
Ataccama announced new data product capabilities in Ataccama ONE and its membership in the Open Semantic Interchange (OSI) consortium, per a GlobeNewswire press release dated June 2, 2026, timed to Snowflake's annual user conference, Snowflake Summit 26. The release states that organizations can define core business concepts, such as Customer, Transaction, Supplier, and Asset, as governed data products, each with a named owner, a verified definition, and an Ataccama Data Trust Index score. Per the release, 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 release, the Ataccama Data Trust Index is a weighted score from 0 to 100 that continuously measures each data product across data quality, ownership completeness, and business context. The release describes Ataccama ONE organizing data around business meaning and mapping each data product to all datasets that hold that information across systems, applying governance and authoritative-source metadata at the concept level. The MCP Server acts as the runtime conduit so tools such as CoCo can consume Data Trust Index scores and ground AI work in governed, verified data without moving it outside Snowflake. The release adds that Ataccama is joining OSI as a collaborator and acting as a launch partner for Snowflake's Agentic Data Sharing program.
Editorial analysis - technical context
Exposing semantic metadata and evidence-based trust signals alongside data reduces ambiguity for downstream AI processes such as retrieval-augmented generation and agent workflows. As a general pattern, attaching provenance, quality metrics, and ownership metadata to business concepts helps automated systems make more defensible decisions and simplifies policy enforcement when models access enterprise data.
Industry context
The announcement sits within a broader trend where data-governance vendors and platform providers integrate to supply trust layers for enterprise AI. Snowflake-centric deployment paths, including CoCo and Cortex CoWork, reflect rising demand for runtime access to governed semantics rather than raw tables, and OSI is positioned as a way to move shared semantics across platforms without vendor lock-in.
What to watch
- •Adoption signals for these data-product APIs within Snowflake-driven stacks, such as connector listings or case studies.
- •Whether third-party tools actually consume the Data Trust Index signals, and how the index maps to enterprise SLAs.
- •OSI specification uptake and practical interoperability between vendors sharing semantic metadata.
Key Points
- 1Ataccama turned core business concepts into governed data products with owners, definitions, and a 0-to-100 Data Trust Index, surfaced into Snowflake via its MCP Server.
- 2Attaching provenance, quality, and ownership metadata to business concepts reduces downstream AI ambiguity and signals fitness for use to agents and retrieval pipelines.
- 3Watch OSI specification uptake, whether third-party tools consume the trust signals, and how the index maps to enterprise SLAs as adoption proceeds.
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.
Sources
Public references used for this report.
Practice interview problems based on real data
1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems

