Ataccama has launched new data product features in its Ataccama ONE platform and joined the Open Semantic Interchange initiative.
The features are designed to help organisations define core business concepts such as customer, transaction, supplier and account as governed data products, each with an owner, a definition and a trust score.
At the centre of the launch is the Data Trust Index, which Ataccama describes as a weighted score from 0 to 100 measuring data quality, ownership completeness and business context. The score is intended to help both staff and AI systems judge whether a dataset is fit for use at a given moment.
The data products are delivered through Ataccama's MCP Server into Snowflake CoCo, Cortex CoWork and other enterprise AI tools. The setup is designed to carry governance information and trust signals into AI workflows without requiring teams to move data outside their existing environment.
The release comes as companies try to address a longstanding problem in corporate data estates: the same business entity often exists in multiple systems with conflicting definitions and inconsistent governance. A customer record in a CRM system may differ from the version in a data warehouse or billing platform, creating gaps that become harder to manage as businesses roll out AI tools across departments.
Ataccama's approach organises data around business meaning rather than physical storage. Instead of governing each system in isolation, companies can define a business concept once and connect it to the underlying datasets across different platforms.
That means ownership, context and criticality are applied at the data product level, then carried across connected entities. The aim is to give teams a consistent view of important data across the business while showing whether that data can be trusted.
Susan Spence, Senior Data Product Analyst at SSEN Transmission, described the need for that kind of control in regulated settings.
"Knowing which version of a critical asset concept to trust, and being able to prove to our regulator that our answer is right, was the challenge that drove everything," Spence said.
"Being able to define what a critical concept like 'substation' means to the business, connect it to the right data, and see a clear signal of whether that data is fit for use is exactly the capability we needed. What we have built with Ataccama is the audit trail and the quality baseline that any future AI application will require, and that foundation gives us the confidence to move forward," Spence said.
Snowflake tie-up
Alongside the product update, Ataccama is deepening its work with Snowflake through integrations with CoCo and Cortex CoWork, and by acting as a launch partner for Snowflake's Agentic Data Sharing programme.
Snowflake CoCo can consume Ataccama Data Trust Index scores through the MCP Server, grounding AI development in governed data. Users of CoCo and CoWork will also be able to access trusted data products with embedded trust signals inside their workflows.
Ataccama will also surface data quality scores, governance signals and observability findings in Snowflake through Cortex Agents, semantic views and secure data sharing. The goal is to let teams use that information in conversational and agent-based workflows without building separate integration layers.
Josh Klahr, Head of Product Management at Snowflake, said the work is tied to broader efforts to make data more portable and interpretable across enterprise systems.
"Consistent semantics and governance are what make data products truly reusable across enterprise ecosystems," Klahr said.
"Ataccama's data products and OSI alignment ensure data can be understood, exchanged and governed consistently across platforms, giving organizations a stronger foundation for AI at scale. Together, we are helping customers bring trusted, interoperable data directly into Snowflake so AI workflows can operate with the context, consistency and reliability enterprise environments demand," Klahr said.
Semantic layer
Membership of Open Semantic Interchange is another part of the strategy. Ataccama said the alignment gives its data products a shared semantic foundation with other participants, which should make them easier to move across tools and platforms without losing business meaning.
Ataccama framed that as a way to reduce fragmentation in data product programmes, which often improve discoverability and ownership but do not resolve whether the underlying data can be relied on in decision-making or AI systems.
Jay Limburn, Chief Product Officer at Ataccama, said many companies already hold the information they need but struggle to make it usable across AI environments.
"Most enterprises already have the data they need, but they still lack a reliable way to make that data trustworthy, interoperable and usable wherever AI operates," Limburn said.
"Data products create the business-aligned foundation AI depends on, but when that foundation carries a verified trust signal and works natively inside platforms like Snowflake, governance becomes more than oversight. It becomes the infrastructure that allows AI to operate with confidence across the enterprise. That is the shift Ataccama is helping organizations make, because it is ultimately what determines whether AI delivers lasting business value at scale," Limburn said.