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.
Start clean. Stay trusted.
Migration is your chance to fix data problems, not carry them forward. Ataccama validates
data efore it lands in Snowflake, then keeps it trusted with continuous quality monitoring,
observability, lineage, and governance. Explore how each module works.
The trust layer for Snowflake and beyond
AI and analytics are only as reliable as the data underneath them. Ataccama enforces quality, governance and observability at every layer of your architecture, inside and outside Snowflake, so only trusted data flows forward. At the gold layer, the Data Trust Index certifies datasets as production-ready. Ataccama exposes all trust signals via MCP, so Cortex agents and other AI tools act on certified data.
Data quality executed natively on Snowflake
Ataccama lets business teams define governed DQ rules once and execute them everywhere - at the core data systems, before data enters Snowflake, and natively inside Snowflake. Data Quality Gates enforce validation in pipelines, isolating bad records before they reach bronze, silver and gold layers. Continuous monitoring catches issues early, stewardship workflows route them to the right people to remediate.
Data observability
Ataccama proactively monitors data flowing into Snowflake, across ingestion pipelines and within the platform itself, so teams catch and resolve issues before they reach downstream consumers. Anomaly detection (volume, freshness, schema drift, data distribution), alerting, and integrated lineage provide full context from root cause to business impact, reducing MTTR and keeping data reliable at scale.
Augmented data lineage from source to consumption
Ataccama delivers end-to-end visibility into data flows across and beyond Snowflake, from source to consumption. Built-in data quality insights, anomaly alerts, and business context let teams instantly see where and why issues occur, so they can resolve them faster. The result: faster troubleshooting and a trustworthy audit trail.
Enterprise data governance
Ataccama ONE documents data assets inside and outside Snowflake. The ONE AI agent, your digital data steward, enriches them with governance and business context, validates quality, and certifies them using the Data Trust Index. A built-in business glossary links technical metadata, business terms, and data quality rules, keeping definitions and quality standards consistent across the data estate. Stewardship workflows help you route issues and track resolutions.
Reference data management
Source systems are full of inconsistencies in how they record the same things: country codes, currency codes, product categories, and others. Migrating to Snowflake carries those inconsistencies forward. Reference data management gives you a governed set of data values to validate against, and harmonizes those values across Snowflake and source systems, so reports, analytics, and AI agents all operate on the trusted data.
Get more value from Snowflake
with Ataccama
Faster Snowflake migrations
Prepare and validate data before it lands in Snowflake so teams modernize faster and avoid costly rework.
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.
More confident decisions
Continuous quality checks and pipeline observability keep Snowflake data reliable — so business teams and AI systems act on trusted data.
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.
The essential data trust layer
for Snowflake and beyond
See how Ataccama ONE makes Snowflake data validated,
governed, and AI-ready from day one.
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.
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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.
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Data Quality Gates
Validate data quality at ingestion layer, so only validated data lands in Snowflake.
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Quarantine bad data automatically
Data Quality Gates redirect failing records into a review table so teams resolve issues without disrupting production workloads.
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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.
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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.
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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.
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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
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Invoke Cortex Analyst directly from any AI assistant
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Ground every output in Data Trust Index-validated data
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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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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.
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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
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.
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.
Hundreds of customers trust
their data with Ataccama
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Unifying data with master data management for 360-degree customer view.
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 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 Director, Industrial Alliance -
An enterprise-wide data transformation to secure data, maintain regulatory compliance, save time, reduce costs and more.
Daniel West Data Management Lead, T-Mobile -
Scaling data management initiatives across the organization, unlocking further growth and innovation.
Michelle Sklar IT Governance Principal, Fifth Third Bank
