Snowflake Ventures invests in Ataccama: The trust layer powering the AI Data Cloud
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Run Snowflake Cortex AI
on data you can trust

Data quality separates AI that stalls from AI that
delivers. From ingestion to insight, the Ataccama
agentic data trust platform keeps data in Snowflake
monitored, trusted and ready for AI.

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Data Snowflake customers can trust

Migrating to Snowflake is costly. Migrating bad data to Snowflake is even costlier. Without a trust layer, teams inherit the same quality gaps, governance holes, and compliance risks that plagued their legacy systems. Ataccama ensures every dataset landing in Snowflake is validated, governed, and ready for AI from day one.

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data quality

Get more value from Snowflake
with Ataccama

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Faster Snowflake migrations

Prepare and validate data before it lands in Snowflake so teams modernize faster and avoid costly rework.

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AI outcomes you can trust

The Data Trust Index gives Cortex and Snowflake Intelligence a real-time reliability signal, so models train and run on data you can depend on.

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More confident decisions

Continuous quality checks and pipeline observability keep Snowflake data reliable — so business teams and AI systems act on trusted data.

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Cut the cost of low-quality data

Bad data caught at ingestion stays out of your pipelines. Ataccama fixes quality issues at ingestion, cutting reruns and eliminating costly downstream remediation.

How Ataccama delivers AI-ready data in
Snowflake

From ingestion to insight, our agentic data trust platform validates, governs, and continuously
monitors your data across every stage of the Snowflake lifecycle

Start Snowflake clean

Identify and fix issues at ingestion to minimize rework and maximize ROI from data modernization.

  • Analyze and govern your data

    Automatically profile your data, classify and map business terms to data assets, KPIs, and definitions to create a shared understanding of data across business teams.

  • Data Quality Gates

    Validate data quality at ingestion layer, so only validated data lands in Snowflake.

  • Quarantine bad data automatically

    Data Quality Gates redirect failing records into a review table so teams resolve issues without disrupting production workloads.

  • Pipeline monitoring

    Proactively detect issues upstream in pipelines across Airflow, dbt core, Dagster, ADF, AWS Glue.

Automate data quality natively in Snowflake

Manual data quality management doesn’t scale. Ataccama centralizes rule management, with the ONE AI Agent helping you create governed, business rules at scale, executed natively in Snowflake so only trusted data flows into analytics and AI.

  • Native data quality checks

    Create data quality rules once in Ataccama and run them as native Snowflake DMF functions with pushdown processing, or use them in dbt transformations.

  • Improve quality as data flows

    Validate data in motion across SQL and Python pipelines. The ONE AI Agent finds anomalies and executes fixes at the source.

  • Certify data assets with the Data Trust Index

    The Data Trust Index provides a real-time reliability signal for every dataset, combining data quality and business context so Snowflake intelligence and analytics are built on trusted data.

Bring data trust and Snowflake Cortex
to your AI tools

Ataccama's MCP Server provides simple, open integration between your AI stack and governed Snowflake data. AI assistants like Claude and ChatGPT can call Cortex Analyst directly and return results grounded in data validated by the Data Trust Index.

This unlocks the ability to:
  • Give AI tools secure access to governed Snowflake data

  • Invoke Cortex Analyst directly from any AI assistant

  • Ground every output in Data Trust Index-validated data

  • Connect your AI stack to Snowflake through one open integration

Fifth Third Bank strengthens regulatory reporting and accelerates AI initiatives with trusted data

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fifth third bank
Customer story
  • Challenge

    The bank needed a more reliable way to manage data across complex business lines while modernizing on Snowflake. Inconsistent quality, siloed controls, and rising regulatory pressure made accurate reporting and AI initiatives difficult to scale.

  • Solution

    Using Ataccama and Snowflake together, Fifth Third Bank established a unified approach to data quality and governance. This created trusted data for regulatory reporting, improved visibility across their data supply chain, and enabled teams to use Snowflake with confidence as they launched new data products and prepared for AI-driven use cases.

What our customers say

t-mobile
Jason Wright

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.

Jason Wright T-Mobile’s manager of technical products and solutions
Trusted by leading enterprises

Ataccama is a leading Snowflake
Marketplace partner because we deliver
value inside Snowflake, not just around it.

Customers can procure Ataccama directly through the Snowflake Marketplace using their existing Snowflake capacity commitments.

  • Shortens buying cycles
  • Reduces friction
  • Keeps investments aligned within the Snowflake ecosystem

Teams can activate trusted data capabilities sooner and accelerate analytics, AI, and compliance initiatives with confidence.

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Hundreds of customers trust
their data with Ataccama

  • Unifying data with master data management for 360-degree customer view.

    Raghusai Kuntamukkalau
    Raghusai Kuntamukkalau Director - Data Engineering | MDM, Prudential
  • With Snowflake and Ataccama, Judo Bank can deliver cleaner data faster, with improved visibility into data quality and usage.

    Thomas Janssen
    Thomas Janssen Head of Data Architecture & Governance, Judo Bank
  • If we can’t trust our customer data, we are not able to do any growth initiatives and communicate effectively with our clients.

    Chantale Boulanger
    Chantale Boulanger Director, Industrial Alliance
  • An enterprise-wide data transformation to secure data, maintain regulatory compliance, save time, reduce costs and more.

    Daniel West
    Daniel West Data Management Lead, T-Mobile
  • Scaling data management initiatives across the organization, unlocking further growth and innovation.

    Michelle Sklar
    Michelle Sklar IT Governance Principal, Fifth Third Bank
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Start building trusted,
AI-ready data pipelines
in Snowflake