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Early access to a governed master data platform for data stewards.

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Proven at Scale

  • 2T+

    Transformations

  • 200B+

    Transactions

  • 7K+

    Users

Continuously Unified. AI-Ready.

Modern & Distributed

Data Unification

Agentic master data management

Adaptive, multi-domain data management with real-time cleansing and patented multi-sync
Eliminate silos, drift, and dirty data with a resilient, hub-and-spoke architecture
Governance & Compliance

Policy & Access Control

Secure and govern with confidence

Automate policy enforcement & bias detection
Ensure secure, attribute and role-based access, including agents
Monitoring & Observability

Data Trust & Health

Ensure transparency and control

Track changes, detect anomalies, and maintain lineage
Advanced auditability for AI-driven systems
MultiSync™ Orchestration

Composable & Reliable

Enterprise-ready

Adapt with resilient pipelines and semantic schema evolution
Sync trusted, contextual data enterprise-wide

Blogs

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The End of the Informatica Era: Why Chief Data Officers Are Replacing Legacy MDM with Agentic Architecture

A strategic analysis for CDOs and CIOs evaluating master data management in the post-acquisition, AI-native landscape of 2026. Executive Summary: The 90-Second Version If your MDM contract renewal is approaching, or your team is still managing data quality manually while your board asks about AI readiness, this analysis is for you. Three forces are converging…
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The Infrastructure AI Needs: Why MDM Must Become a System of Trust

TL;DR Enterprise AI is failing not because of bad models, but because of bad data infrastructure. Most data architectures are still fragmented and reconciled after the fact. AI requires a continuously mastered, real-time control layer. Agentic MDM replaces point-to-point integrations with a governed, policy-aware data model that enforces trust before autonomous action occurs. The organizations…
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Adapting or Falling Behind: What Will Truly Distinguish Agentic AI Leaders

TL;DR Agentic AI success isn’t just about data quality—it’s about data control. Organizations that modernize access controls and govern unstructured data will lead, while those relying on legacy systems risk exposure, security gaps, and unreliable AI outcomes. As organizations transition from basic AI tools to agentic systems capable of autonomous action, a clear divide is…
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Resources

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