DQLabs

DATA OBSERVABILITY AND QUALITY

Industry's first Al Native platform where Data Observability, Data Quality, and context work as one system-turning trust from a manual, reactive process into autonomous operations governed by the enterprise.

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Trusted By Enterprises Worldwide

What is AI Native?

Product Architecture

What is AI Native?

Many platforms are adding Al features: summarizing incidents, generating rules, or answering questions in chat. Helpful-but often bolted onto an operating model that hasn't changed. Alerts still arrive unprioritized. Ownership is still ambiguous. Remediation is still manual. Teams still spend time interpreting what the system already knows.

Prizm is built differently. It is Al native because Al is embedded in the core control plane-how context is gathered, how signals are interpreted, how priorities are set, and how action is orchestrated.

Why Choose PRIZM?

Industry's First Al Native Platform, PRIZM is Designed to

Learn continuously
from metadata,
lineage, usage, and
outcomes

Connect observability
signals to quality
signals and business meaning (context)

Reduce noise by
clustering and
prioritizing what's
truly impactful

Drive resolution - not
just detection -
through controlled
automation

PRIZM's Autonomous Capabilities

Specialized
Role-Driven Agents

Dedicated AI agents for quality, observability, cataloging, and governance, collaborating to manage diverse data challenges.

Intelligent
Cataloging & Criticality

Automates data discovery and classification while enriching data with business context for better usability.

AI Assisted
Stewardship

Sorts actions into "Autonomous" (fully automated), "Human / AI Assisted" (partial automation), and "Action Needed" (manual).

Semantic
Intelligence

Identify meaningful connections between data entities across sources, add business context to technical data elements.

Alert Clustering
Analysis

Automate determine optimal order based on data lineage and dependencies, data rate changes and business criticality.

Automated
Profiling

Automated profiling frequency with continuous scan data to identify patterns, anomalies, and statistical properties autonomously.

Autonomous
Issue Resolution

Enables quick issue fixes with one-click remediation, tested safely in staging and overseen by humans when needed.

Interactive
Lineage Explorer

An animated, interactive graph for exploring schema, volume, and freshness changes while auto-tracing data flows and dependencies.

Business Impact
Visualizer

Maps data issues directly to business KPIs and visualizes their propagation for faster, precise remediation with resolution/fixes.

Industry Recognitions

2026-gartner-magic-quadrant-for-augmented-data-quality-solutions
DQLabs Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions

Recognized as a Visionary for the
second consecutive year

Magic Quadrant industry recognition
DQLabs Included in The Forrester's Wave™: Data Quality Solutions, Q1 2026
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See PRIZM in Action

Consult with a DQLabs specialist about your enterprise Data Observability & Quality needs as well as AI-readiness.

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