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The end-to-end
agentic data trust
platform for the AI era

Trusted, AI-ready data at the speed your business
demands so your agents, models, and decisions
are grounded in reality.

Trusted globally by leading enterprises

Everything you need for trusted data, in one unified
platform powered by agentic AI.

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quality

Data quality

Monitor, cleanse, and standardize across every system. Write rules once, apply anywhere.

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catalog

Data catalog

Find, understand, and govern data assets across structured and unstructured sources.

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observability

Data observability

Detect pipeline anomalies early. Resolve them before they impact downstream systems.

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lineage

Data lineage

Trace data source to consumption. Drill from anomaly to impacted business unit.

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reference

Reference data

Standardize codes and hierarchies with agentic RDM. Audit-ready by default.

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master

Master data

One trusted view of customers, products, and entities. AI-powered matching and provisioning.

Gartner Magic Quadrant

5-time Leader, with the furthest vision

Ataccama positioned as a Leader in the 2026 Gartner® Magic Quadrant™
for Augmented Data Quality Solutions for 5th consecutive time.

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Meet ONE AI Agent.
Your digital data steward.

Autonomous, end-to-end data management. Generates rules, detects anomalies, resolves issues at the source.

AI-ready data 83% faster, with full reasoning transparency.

Don't take our word for it.
Hear how we help our customers
build data trust.

  • One solution with one interface for 3 interoperable modules for reference data management, master data manatement and for data quality.

    John Reimers
    John Reimers Master data program manager, Marti Group
  • 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
  • Bringing business and IT teams together to create a digital factory of trusted data.

    Piotr Pietrzyk
    Piotr Pietrzyk Head of Data Governance, Avon
  • Scaling data management initiatives across the organization, unlocking further growth and innovation.

    Michelle Sklar
    Michelle Sklar IT Governance Principal, Fifth Third Bank

Only Ataccama ONE can give you this

Data quality at scale

High-quality data isn’t optional — it’s the foundation. Ataccama ONE continuously profiles, monitors, and fixes data across every system, so you can trust every decision, report, and model with confidence.

Unified platform

ONE platform, built in-house, bringing together data quality, catalog, lineage, observability, and reference & master data. No stitching, no vendor sprawl. Just ONE consistent experience that reduces cost and complexity.

Automated intelligence

AI embedded in the platform does the heavy lifting — generating rules, test data, and metadata automatically. Less manual effort, faster rollouts, and teams free to focus on real business impact.

Stay ahead of regulation Accelerate AI adoption Boost efficiency and reduce cost
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Delivering data trust for
multi-agent systems

Ataccama ONE provides the trusted backbone for AI
ecosystems, ensuring every agent works with consistent,
high-quality data.

Platform in the cloud,
data processed locally

Ataccama cloud diagram
Ataccama cloud diagram
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See the platform
in action
Get a personalized demo from our experts and see how
Ataccama ONE is redefining enterprise data standards
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FAQ

It is a platform that brings data quality, catalog, observability, lineage, and data management together. It helps teams keep data accurate, consistent, and compliant.

It includes an AI Agent that can plan and run tasks end-to-end. It can take action and show you the reasoning behind what it does.

It monitors and cleans data, applies rules, and detects issues early. This helps teams keep data accurate across systems.

Yes. Lineage shows where data came from and where it goes. Observability helps detect issues like anomalies and freshness problems.

Yes. It connects with modern data ecosystems and supports cloud and on-prem environments.

Master data covers core entities like customers and products. Reference data covers shared codes and lists, like regions, categories, and statuses.