Snowflake backs Ataccama to boost AI data quality

Ataccama has secured a strategic investment from Snowflake Ventures in a deal that deepens the alignment between the two companies around data quality and trust for artificial intelligence workloads on the Snowflake AI Data Cloud.

The funding expands an existing partnership that focuses on the reliability and governance of data used in enterprise AI models, analytics projects and regulatory processes on Snowflake. Both companies are targeting organisations that are increasing their use of autonomous and agent-based systems.

Deeper integration

The investment will support tighter integration between Ataccama's data quality tools and Snowflake-native services, including Snowflake Cortex AI and Snowflake Horizon. Ataccama will embed data quality checks and trust indicators within Snowflake workflows so customers can assess the condition of data as it moves through AI pipelines.

Snowflake Cortex AI is a managed service inside the Snowflake platform. It lets businesses run machine learning and AI directly on data stored in Snowflake. Ataccama will feed richer data trust signals into Cortex AI workflows. Customers will gain more visibility into the provenance and condition of data that underpins models and applications.

Ataccama also extends Snowflake Horizon, which includes data catalogue and governance features. The company will bring continuous compliance monitoring and automated data quality controls into Snowflake AI pipelines. The aim is to give regulated industries additional safeguards for governed AI and reporting workloads.

Focus on data trust

Both firms are responding to concerns that AI systems are taking decisions with limited human oversight and depend on accurate upstream data. Ataccama's platform checks data at multiple stages of the pipeline. It validates information at ingestion, applies quality improvements during transformation, and certifies data before it supports analytics or AI.

The company describes this process in terms of the medallion architecture that many Snowflake customers use. Data passes through Bronze, Silver and Gold tiers. Ataccama aims to maintain reliable and explainable inputs at each stage so that downstream workloads experience fewer errors and require less reprocessing.

Ataccama said this approach reduces repeated data processing and helps customers optimise the compute resources they consume on Snowflake. The company said that consistent data quality forms a foundation for AI experiments, production systems and regulated processes that depend on precise reporting.

Joint customer base

The partnership already serves joint customers such as T-Mobile, Prudential, Progressive, iA and Fifth Third. These organisations use Snowflake for data storage and processing and deploy Ataccama for governance and quality controls.

T-Mobile has adopted the combined stack for customer and operational data. The company works with large data volumes and faces stringent cybersecurity and compliance requirements.

"Data is at the core of how we grow and serve our customers, and at our scale, trust in that data is paramount. Ataccama provides us with a foundation our teams can depend on, with governed, curated data flowing through Snowflake to support our critical processes. This consistency allows us to move faster, deliver insights with greater confidence, and meet stringent cybersecurity and compliance requirements without slowing the business. The result is sharper decisions, stronger operations, and measurable impact across the enterprise," said Jason Wright, Manager of Technical Products and Solutions, T-Mobile.

Executives' views

Ataccama positions itself as an "agentic data trust" company and has built its platform around data quality, lineage, observability, cataloguing and reference data management. The firm said this unified structure keeps data consistent and explainable as AI adoption grows and regulatory pressure increases.

Mike McKee, Chief Executive of Ataccama, linked the Snowflake investment to demand from organisations that are running AI in production and require guarantees about the data behind those systems. He said the company's platform is shifting customers from manual controls to automated reliability.

"AI delivers value only when the data fuelling it can be trusted. Snowflake sees this across their customers every day, and their investment underscores how essential accurate and explainable data has become to running AI in production," said Mike McKee, CEO of Ataccama. "With our Agentic data trust platform, organisations 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. We're building the data foundation that makes real-world AI possible."

Snowflake Ventures views Ataccama as a way to reinforce governance across the AI Data Cloud. The venture arm is investing as Snowflake customers expand their AI workloads and handle more complex data estates.

"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," added Harsha Kapre, Head of Snowflake Ventures. "Ataccama empowers enterprises to automate quality, add context, and resolve issues before they reach downstream workloads. Their agentic platform amplifies the reliability and performance of the AI Data Cloud, helping customers accelerate their AI initiatives with confidence."

Growth trajectory

Ataccama has received earlier backing from Bain Capital Tech Opportunities, which invested USD $150 million. The company employs about 500 people worldwide and has reported compound annual revenue growth of 30 per cent over the past three years.

Fortune 500 companies spend an average of more than USD $500,000 per year on Ataccama's platform, according to the firm. It said this level of annual contract value reflects demand from large organisations that need consistent, audit-ready data across business systems.

The company has gained industry recognition for its focus on data quality and governance. It appears as a Leader in Gartner's Magic Quadrant for Augmented Data Quality and in the Magic Quadrant for Data and Analytics Governance.

Ataccama plans to use the closer relationship with Snowflake to expand its presence inside the AI Data Cloud and to add more automated data trust features for joint customers rolling out new AI and analytics workloads.