Meet us at
Snowflake Summit 2026
Leading data teams don't monitor their Snowflake data. PRIZM does it for them.
Meet DQLabs at Snowflake Summit 2026 and see PRIZM in action. The AI-native platform that makes Data Quality, Observability, and Context work together as one autonomous system on Snowflake.
Recognized by Leading Analysts
Snowflake pipelines move fast.
Data trust doesn't keep up.
Most Snowflake environments accumulate data faster than teams can govern it. Engineers triage alert storms manually. Stewards write static quality rules that break when schemas change. Analysts validate dashboards by hand before trusting any number. Meanwhile, AI and ML models trained on unvalidated data produce unreliable outputs, and nobody knows until business decisions are already wrong.
Without automated intelligence
Data teams manually curate 10–20% of enterprise data. AI workflows need 60–70% trustworthy data to function. The gap cannot be closed by headcount. It requires a platform that detects, decides, and acts autonomously.
The cost of reactive monitoring
By the time an analyst, executive, or customer catches a data issue, the cost is already compounded. Failed AI outputs. Missed revenue. Regulatory exposure. Trust eroded in data products that took months to build.
Introducing PRIZM by DQLabs
The self-driving platform for AI-ready data on Snowflake
Snowflake data scales automatically. Data governance doesn't. And AI models trained on unvalidated data don't fail quietly.
The Shift Toward
Self-Driving Data
Platform
PRIZM by DQLabs brings autonomous intelligence to data observability, quality and context.
PRIZM doesn't replace your Snowflake stack. PRIZM's Embrace and Enhance architecture layers AI-native intelligence over existing Snowflake pipelines, catalogs, and BI tools without migration risk. It participates in agentic AI workflows via MCP and bridges non-MCP-ready systems via APIs, making it a forward-compatible foundation for enterprise AI operations.
Explore PRIZMTwo ways to connect with the DQLabs team
Booth #2739 — Live PRIZM Demos
See PRIZM's self-driving data operations live on Snowflake. Our team will walk you through anomaly detection, automated remediation, and semantic intelligence tailored to your data stack and use case. No slides. Just the product.
Explore PRIZMSFO World Tour — Invite-Only Evening
Food, drinks, and candid conversation about what it actually takes to make enterprise data trustworthy. An informal setting for data leaders to share what's working, what isn't, and where AI-native operations fit into the roadmap.
Your next data problem is already in the pipeline.
Let's find it before it finds you.
Book time with the DQLabs team at Snowflake Summit 2026 — or explore the Snowflake integration to see how PRIZM fits your existing stack.
Book a MeetingTrusted By Enterprises Worldwide
Experience PRIZM’s Impact Across Data Roles
Register Now
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Data Engineers - Stop firefighting. Start building.
PRIZM eliminates alert noise and automates root-cause analysis so engineers focus on architecture, not triage.
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Data Stewards - Policies that enforce themselves.
AI-assisted stewardship translates business rules into adaptive quality policies that govern Snowflake assets without manual intervention.
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Data Consumers & Analysts - Trust the number before you present it.
Every output carry freshness, lineage, and quality scores, so analysts stop validating and start deciding.
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Data Leaders (CDOs / CDAOs) - Connect data health to business outcomes.
PRIZM links observability and quality signals to revenue, risk, and AI outcomes in one boardroom-ready view.