Meet us at
Ai4
Experience the Future of Data Observability, Quality, and Context
Demo Session
Catch live demos at our Booth 1469 every day at 11 am and 2.30 pm PST
See observability, quality, and enterprise context all on one platform.
Have a chat and find out how we are the best fit for your institution.
Discover how easy it is to use Prizm.
Spotlight Session
AI Readiness starts with AI-Ready Data
Venkatesh Perumal
Field-CTO and Strategy
DQLabs, Inc.
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.
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.
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
Register Now
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