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Overview

DQLabs Prizm is a multi-agentic, AI-native data observability and quality platform that transforms how organizations manage, trust, and govern their data. By deploying specialized AI agents that collaborate autonomously, Prizm provides end-to-end visibility, intelligent quality management, and proactive governance across your entire data ecosystem.

Data Quality Management

Continuously monitor, detect, and remediate data quality issues with adaptive AI-driven rules.

Intelligent Data Cataloging

Auto-discover, classify, and enrich data assets with business context and lineage.

Real-Time Observability

End-to-end monitoring of data pipelines with predictive analytics and intelligent alerting.

Multi-Agentic AI

Specialized AI agents that coordinate to handle discovery, quality, governance, and remediation.

Core Capabilities

Intelligent Data Cataloging

Prizm automatically builds and maintains a living data catalog that:
  • Discovers and classifies data assets across your organization without manual effort
  • Creates rich metadata with domain-specific business context and lineage information
  • Enables natural language search and exploration of data assets
  • Facilitates data democratization while maintaining security guardrails

Real-Time Data Observability

Prizm provides continuous visibility into your data ecosystem through:
  • End-to-end monitoring of data pipelines and workflows
  • Real-time alerting on data quality and system performance issues
  • Comprehensive dashboards with actionable insights
  • Predictive analytics to forecast potential data problems before they impact the business

Data Quality Management

Prizm’s intelligent agents continuously monitor and improve data quality by:
  • Automatically detecting anomalies, duplicates, and inconsistencies
  • Implementing smart data validation rules that evolve with your data patterns
  • Providing root cause analysis for quality issues
  • Recommending and executing data cleansing operations

Key Benefits

  • Reduce manual data quality tasks by up to 80%
  • Gain comprehensive visibility into data assets and lineage
  • Proactively address data issues before they impact business operations
  • Scale data governance practices efficiently across the organization

How Prizm Works

Prizm operates through a layered autonomous intelligence architecture:
Data & Analytics Ecosystem


Connectors & Telemetry (JDBC, API, Webhooks, Query Logs)


AI-Native Control Plane (Orchestrator · Policies · Task Queue)


Agent Swarm (Discovery · Profiling · Quality · Observability · Lineage · Remediation)


Knowledge & State (Unified Catalog · Semantic Layer · Knowledge Graph)


Product Surface (Prizm UI · APIs · Alerts · Integrations)
Prizm’s cloud-native, containerized architecture supports deployment in cloud, on-premises, and hybrid environments. See the Deployment Guide for details.

Next Steps

Quick Start

Get up and running with Prizm in minutes.

Key Concepts

Understand the core concepts and terminology.

Architecture

Dive deep into Prizm’s technical architecture.