Snowflake Ventures invests in Ataccama to strengthen data trust for AI agents and enterprise AI

Snowflake Ventures invests in data trust startup Ataccama to boost agentic reliability - SiliconANGLE

Snowflake Ventures invests in data trust startup Ataccama to boost agentic reliability 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." 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."

Equity Investment Signals Deeper Snowflake Alliance With 'Data Trust' Provider Ataccama

Snowflake Ventures has made a strategic investment in Ataccama, a data governance and quality management tech developer, with plans to continue to leverage integrations between the two companies' platforms at a time of rising demand for high-quality data for AI applications and agents. AI data platform company Snowflake has made a strategic investment in Ataccama, a leading developer of data quality management and governance technology that's playing an increasingly important role in preparing data for AI systems. The funding, which comes from Snowflake Ventures, the company's investment arm, deepens an existing relationship between Snowflake and Ataccama and signals "a shared commitment to delivering trusted, explainable data that drives enterprise AI, advanced analytics, and regulatory compliance across the Snowflake AI Data Cloud," the companies said in a news release announcing the investment. The dollar value of Snowflake's equity investment was not disclosed. [Related: Meeting The Data Needs Of The AI World: The 2025 CRN Big Data 100] Ataccama, based in Boston, has long focused on providing the data quality and governance capabilities businesses need for regulatory compliance and for improving data quality for business analytics tasks. But with the wave of development and implementation of AI applications and AI agents, the demand for managing data quality has soared, said Ataccama CEO Mike McKee (pictured) in an interview with CRN. "Everything has accelerated because of the fact that business is now so intent on making sure they can trust the data," he said. "Not just for regulatory compliance and not just for making better business decisions and analytics, but for feeding the large language models and driving AI." Ataccama One, the company's flagship platform, provides a range of data management capabilities with an emphasis on data quality and data governance functionality, along with data lineage, data catalog, master data management and data observability tools. The company's product lineup also includes Ataccama One AI and its agentic AI capabilities for data management, Ataccama Cloud, and a portfolio of data connectors. Ataccama already has a significant technology alliance with Snowflake with Ataccama's platform integrated with the Snowflake AI Data Cloud. Ataccama provides a Snowflake-native data quality management application that data engineers use to validate the quality of their data within the Snowflake platform. "We invest in partners where we've already seen clear success and a shared commitment to building deeply on Snowflake. Ataccama has demonstrated strong traction with joint customers, and this investment allows us to build on that momentum with even deeper integrations, unlocking more value for both companies," said Harsha Kapre, director of Snowflake Ventures, in an emailed response to questions from CRN. "In an AI-driven world, trusted, well-governed data is essential. Ataccama enables our customers to work with accurate, explainable data that powers Snowflake Cortex AI and underpins agentic AI experiences like Snowflake Intelligence. A more natively integrated solution means trusted insights, faster time to value, and greater confidence in AI-driven innovation," Kapre said. Ataccama's software is linked to various components of the Snowflake platform, bringing data quality features to Snowflake Cortex AI workflows, for example, and extending the functionality of the Snowflake Horizon Catalog -- such as data health monitoring -- by bringing continuous compliance and automated data quality controls directly into Snowflake AI pipelines. The Ataccama software plays a critical role in Snowflake's Medallion architecture that organizes data into Bronze, Silver and Gold logical layers to progressively improve data quality and reliability as it moves from raw ingestion to a business-ready state, according to the companies. McKee noted that while the volume of data used for AI is growing exponentially, the human resources needed to manage the quality and veracity of that data is not. "It's a business imperative to be competitive in today's world, to leverage data [and] leverage AI. The challenge is there's not enough people to do that, so the data management process has to become more automated," he said. Ataccama, meanwhile, has been building more generative AI and agentic AI capabilities into its own platform to improve its effectiveness and make it easier to use. "We need AI to make AI work," McKee said. Ataccama is privately held with ownership split between its founders, employees, Bain Capital (which invested $150 million in the company in June 2022), and now Snowflake. The funding from Snowflake will provide Ataccama with additional resources to continue its expansion and develop additional integrations between the two companies' platforms. But McKee said the real value of the equity investment is the signal it sends to the market about the two companies' alliance and the value provided to customers through their technical integrations. "Snowflake's primary objective is to get deeper technical integration," McKee said. "It's the strategic relationship behind [the investment] that's significant. It allows us to work more closely to make sure the products that we're delivering help the customers trust their data. ... We're all on that mission together, trying to help customers to be able to trust that data so they can make better decisions faster." "We are focused on backing partners that meaningfully expand what customers can do with Snowflake, and this partnership brings our technologies and teams even closer," Snowflake's Kapre said about the significance of the Snowflake-Ataccama alliance. "With this investment, customers can expect deeper generative AI capabilities running natively on Cortex AI, including natural language experiences for data quality tasks. It builds on Snowflake Horizon Catalog by enabling organizations to monitor data health and quality, while managing logic through Ataccama. Looking ahead, the partnership envisions agentic workflows in which AI agents proactively identify and propose fixes for data quality issues via Model Context Protocol integrations," he said. In the press statement announcing the Snowflake investment, Ataccama said demand for its products amid the wave of AI development has driven the company's growth over the past three years and that it has achieved a 30 percent compound annual growth rate. In the channel, Ataccama works with a range of consulting, service and reseller partners including industry giants such as Accenture, Cognizant, EPAM, Perficient, Slalom and Tiger Analytics. Last week Snowflake unveiled a new multiyear, $200 million partnership with AI research and development company Anthropic through which Snowflake is making Anthropic's Claude AI models available through the Snowflake platform. Snowflake is also using Claude to serve as a key AI model powering Snowflake Intelligence, the company's enterprise intelligence agent.