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Trusted AI Starts with Trusted Data

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Built for Speed
Designed for Trust

Prizm by DQLabs is the AI-native enterprise platform that unifies data observability, data quality, and context into one continuously validated system, so enterprises and their AI agents can trust the data they act on.

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Why Visit Booth #1469

AI needs AI-ready data. We'll show you how enterprise context, data quality and data observability get your data AI-ready.

Get a context completeness assessment in two minutes

Step up to the booth, scan the QR, take a two-minute assessment, and see what context your AI agents are missing.

Context-Driven
Criticality

PRIZM knows which tables and fields actually matter to the business and prioritizes accordingly, instead of treating every anomaly as equally urgent.

Data Quality for
RAG and AI Pipelines

See how PRIZM evaluates and enforces the fitness of the data feeding retrieval pipelines and models, not just dashboards.

Alert Clustering
and Root Cause

Watch thousands of raw alerts collapse into a handful of prioritized, context-rich issues. One upstream failure produces one alert, not fifteen separate tickets.

Autonomous
Issue Resolution

From detection to decision to action to validation, PRIZM closes the loop without waiting on a ticket queue.

Venkatesh Perumal

Venkatesh Perumal

Field-CTO and Strategy
DQLabs, Inc.

Trusted AI Starts with Trusted Data

An Exclusive Sneak Peek of PRIZM

A VISIONARY
2026 Gartner® Magic Quadrant™

for Augmented Data Quality Solutions

RECOGNIZED VENDOR
2026 Gartner® Market Guide

for Data Observability

STRONG PERFORMER
The Forrester's Wave™

For Data Quality Solutions, Q1 2026

LEADER & STAR PERFORMER
Everest Group's PEAK Matrix®

2025 for Data Observability

Data Observability

End-to-end visibility into pipeline health, schema changes, data drift, lineage, and anomalies.


Data Quality

250+ automated quality rules, AI-driven rule generation, and autonomous remediation.


Data Context

Semantic discovery, automated classification, and business-level lineage.


Agentic Remediation

Multi-agent AI that detects, explains, and resolves data issues autonomously.


Cross-Cloud Native

Operates natively on Snowflake, Databricks, BigQuery, and Azure Synapse.


Business Lineage

Product-to-product lineage that maps business ownership and downstream impact.


Trusted By Enterprises Worldwide

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Who Should Visit

Whether you’re building pipelines, governing data, or leading the AI strategy — PRIZM is designed to support each of those workflows.

  • Chief AI Officers, CIOs, and CDOs
  • Heads of AI and ML platform leaders
  • Data Engineering and Data Platform leaders
  • Enterprise Architects and Infrastructure leaders
  • Data Governance and Risk leaders