Trusted datafrom sourceto agent
AI agents are already in production, accessing your data across source systems, pipelines, and warehouses. The question isn't whether your AI is running. It's whether you can trust it. Ataccama makes sure you can.
Your AI is only as reliable as your
data can be trusted
Trust in your data used to be a human judgment call. An analyst knew which table was authoritative, when a feed was stale, which figures to double-check. Agents remove that judgment. They act on whatever they're given, at machine speed. Trust, now has to live in the data itself.
This is the reality data leaders face today:
No real-time trust
No visibility into data quality at the moment AI systems query it.
Endless firefighting
Data teams stuck fixing broken pipelines instead of shipping AI releases.
Silent, automated errors
Inconsistent definitions across source systems compounding at machine speed.
Unreliable AI outputs
Models pulling data that was never verified for AI consumption.
“Good quality and trusted data underpins how effective AI will be. We need those foundations to fully harness AI. What we’ve built with Ataccama is the audit trail and the quality baseline that any future AI application will require.”
Susan Spence Senior Data Product Analyst, SSEN TransmissionThe way AI
consumes data has changed.
Your data trust foundation needs to match.
Warehouse →
clean → AI
Specific dataset is cleansed and governed before it reaches AI. Quality is a side process, not a property of the data itself.
- Trust lives in the pipeline
- AI only sees predefined data
- Trust is assumed but not proven
- Breaks when agents bypass the warehouse
Trust at the moment of consumption
Trust at the moment of consumption
Trust signals are embedded in the data itself — queryable, portable, and present wherever AI reaches, in real time.
- Works with any data source
- Trust travels with the data
- Consistent across every system AI touches
The missing piece in your AI stack
Three components. One integrated data trust layer for AI.
Business context
Governed data products
Most tools only catalog what exists. Ataccama governs what data means. Data products are reusable packages built on your data and business context — linking business meaning to the data that supports it, under a clear contract of ownership, quality, and trust. So teams and AI never have to guess which table is the real source of truth.
Trust signals
Data Trust Index & quality scores
The Data Trust Index attaches a quantified trust score to every data product and asset, aggregating quality checks, monitoring, and governance signals -- stewardship, glossary coverage and catalog descriptions. That score is available to AI at the moment of consumption, so agents can proceed with confidence, flag uncertainty, or escalate to a human.
Consumption
MCP server & OSI convertor
Ataccama's MCP Server surfaces both semantic context and live trust scores. Any MCP-compatible AI tool gets definitions, ownership, and lineage insights alongside whether that data is reliable right now, and built on OSI-aligned semantics that carry the same meaning everywhere. All through a single, secure connection, with your data team in control of what gets exposed and to whom.
See how leading enterprises are building their AI stack around trusted data
A practical blueprint for data leaders who are past the AI pilot stage and need to build the foundation that makes agentic AI trustworthy at scale.
Trusted by data-driven enterprises
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One solution with one interface for 3 interoperable modules for reference data management, master data manatement and for data quality.
John Reimers Master data program manager, Marti Group -
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 -
Bringing business and IT teams together to create a digital factory of trusted data.
Piotr Pietrzyk Head of Data Governance, Avon -
Scaling data management initiatives across the organization, unlocking further growth and innovation.
Michelle Sklar IT Governance Principal, Fifth Third Bank
data it can trust Get a personalised demo of the data foundations your AI
agents need.
