Agentic data trust company Ataccama Corp. said today it has closed on a strategic investment of an undisclosed amount from Snowflake Ventures.

The data company said it would help deepen its interaction with Snowflake Inc.’s AI Data Cloud platform and deliver more trusted and explainable data for enterprise’s artificial intelligence projects.

Ataccama is the creator of the namesake Ataccama One platform, which unifies data management with governance to help enterprises ensure they’re using only the most trusted and highest-quality data for their most important business projects. The offering combines data discovery, quality, cataloging, observability, lineage and master data management capabilities into a single platform that automates all preparation and governance-related tasks across cloud, on-premises and hybrid environments.

Snowflake’s customers are looking for ways to leverage AI agents and autonomous systems to support business decision-making and enterprise automation with minimal human oversight. But to do this, they need to ensure the accuracy of the data that feeds into them. Trust in data is rapidly becoming a core operational requirement for businesses working with AI agents. The reliability of upstream data determines whether or not those agents work properly and deliver the intended results.

Ataccama believes it can help to ensure this reliability by validating data early and preserving its context throughout the data delivery pipeline. With today’s investment, Snowflake said, it’s affirming Ataccama’s ability to do this at large scale. It enhances data quality as it’s first ingested by Snowflake’s AI Data Cloud, improving it as it’s transformed and certifying it before it’s fed into AI agents and analytics workloads.

By providing early visibility into, and continuously verifying data quality, Ataccama Chief Executive Mike McKee said, his company’s platform can reduce data reprocessing cycles and optimize compute processes. That can help ensure every AI workload is based on consistent and explainable inputs. “AI delivers value only when the data fueling it can be trusted, and Snowflake’s investment underscores how essential accurate and explainable data has become for running AI in production,” McKee said. “With our Agentic data trust platform, organizations can move from manual oversight to automated reliability, ensuring every model, dashboard, and decision in Snowflake is grounded in data they can understand and depend on.”

Rob Strechay, managing director and principal analyst of theCUBE Research, said Snowflake’s decision to invest in Ataccama underscores a pivotal reality in enterprise AI. “Without trustworthy, explainable data even the most open and innovative ecosystems fail to scale,” he said.

The analyst said trustworthy data is a major element of Snowflake’s Open Semantic Interchange initiative, which is an open standard that’s designed to make AI agents interoperable at the semantic data layer. “Data trust is the non-negotiable foundation that determines whether these agents can reliably reason, share context and execute tasks across systems,” he added.

The investment will support the deeper integration of Ataccama’s platform with Snowflake Cortex AI and ensure richer trust in its outputs, the companies said. In addition, Ataccama will bring continuous compliance and automated data quality controls into Snowflake’s Horizon Catalog and enhance its data health monitoring capabilities to support the safeguards required for governed AI in regulated industries.

According to Strechay, Ataccama’s agentic data trust platform will enhance these offerings with continuous observability, validated reference data and a dynamic trust layer that keeps data explainable from ingestion to inference. “By embedding richer trust signals directly into Snowflake Cortex AI and the broader AI Data Cloud, this partnership strengthens the semantic fabric needed for open agent ecosystems actually to work in production,” the analyst said. “Snowflake is betting on a future where AI is both open and governed, and Ataccama provides the trust architecture that turns that vision into operational reality,”

With the partnership, Snowflake and Ataccama will be able to close the widening “readiness gap” that was highlighted in the startup’s recent 2025 Data Trust Report: Financial Services Edition. It found that only 3% of banks are currently running AI initiatives at any sort of scale. Ataccama Chief Product Officer Jay Limburn told SiliconANGLE’s mobile livestreaming platform theCUBE that the findings highlight the vital importance of data quality. He explained that the startup wants to automate trust in AI agents with its very own agent, called Ataccama ONE.

“If we’re looking at that data, we can actually use our agent and we can say, ‘Hey, describe this table to me, improve its quality and generate a report out of that data,’” Limburn said. “All of that is based on effectively one prompt. That’s where the power of these true agents really comes in, because it truly does automate how you can use that data and automate the tasks associated with it to get you to a higher value outcome.”

Here’s theCUBE’s full interview with Limburn:

Ataccama’s partnership with Snowflake has helped to ignite impressive growth, with the startup’s revenue increasing at a compound annual growth rate of more than 30%. What’s more, it claims, its average customer is now spending more than $500,000 per year on its consumption-based platform.

This growth, coupled with its tight integration with Snowflake’s AI Data Cloud, is what persuaded Snowflake to invest in Ataccama, said Snowflake Ventures’ Harsha Kapre. “Snowflake customers are working with larger volumes of data and more complex ecosystems, making accurate, explainable and well-governed data essential for powering AI applications,” he said. “Ataccama’s agentic platform amplifies the reliability and performance of the AI Data Cloud, helping customers accelerate their AI initiatives with confidence.”

Image: Ataccama