Meet us at
Big Data & Analytics Summit Canada 2026
Experience the Future of Data Observability, Quality, and Context
Meet the DQLabs team and see PRIZM in action — the industry’s first AI-native platform that unifies data observability, quality, and context into one autonomous system.
The Shift Toward
Self-Driving Data Platform
PRIZM by DQLabs brings autonomous intelligence to data observability, quality and context.
Why Visit Us
Discover how leading data teams are moving from reactive monitoring to AI-driven intelligent data operations with PRIZM by DQLabs.
See PRIZM in Action
Watch how autonomous AI agents detect anomalies, trace root causes across lineage, and resolve issues before they impact analytics or AI systems.
AI-Native Multi-Agent Architecture
Six specialized agents — Discovery, Quality, Catalog, Governance, Observability, and Remediation — operate in coordination, sharing context in real time.
Unified Control Plane
Observability signals, data quality metrics, lineage, usage, and business context — connected in a single operational layer. No tool-switching. No blind spots.
Intelligent Alert Clustering
Turn thousands of raw alerts into prioritized, context-rich issues. One upstream failure = one alert cluster, not fifteen separate investigations.
Criticality-Driven Prioritization
PRIZM identifies business-critical data assets and prioritizes monitoring and remediation based on downstream impact and enterprise risk exposure.
Built for AI-Ready Data
Continuously evaluates data fitness for analytics, ML, and GenAI — rooting trusted, scalable AI initiatives in a secure data foundation.
An Exclusive Sneak Peek of PRIZM
PRIZM brings autonomous intelligence to data observability, quality, and context — recognized as a Visionary in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.
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 was designed for how your role actually works.
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Chief Data Officers (CDOs)
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Data Engineers & Architects
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Data Stewards & Data Quality Practitioners
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Data Governance Teams
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Data Scientists & Analysts
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Analytics & BI Leaders
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Heads of AI
