> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dqlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Platform Overview

> DQLabs Prizm is a multi-agentic, AI-native platform for data quality, cataloging, and observability.

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## Multi-Agentic Native AI Platform

DQLabs Prizm is a comprehensive, AI-native, multi-agentic platform designed to transform how organizations manage data quality, cataloging, and observability. By leveraging a multi-agentic approach, Prizm provides enterprises with powerful tools to continuously understand data, evaluates its trustworthiness, and operates across the enterprise — unifying **data quality**, **observability**, **cataloging**, and **governance** into a single control plane.

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  <img src="https://mintcdn.com/dqlabs/j8SFCGMAHsr1B59l/images/image.png?fit=max&auto=format&n=j8SFCGMAHsr1B59l&q=85&s=44941c4f192b82fa3a306bdb6ff52bc2" alt="Image" width="1472" height="840" data-path="images/image.png" />
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***

## Platform Pillars

<CardGroup cols={3}>
  <Card title="Data Cataloging" color="#3B82F6" icon="book">
    Automatically discover, classify, and enrich data assets with metadata, business context, and lineage across all your sources.
  </Card>

  <Card title="Data Quality" color="#10B981" icon="shield-check">
    Continuously monitor and enforce quality standards using adaptive AI-driven rules, profiling, and anomaly detection.
  </Card>

  <Card title="Data Observability" color="#8B5CF6" icon="activity">
    End-to-end visibility into pipeline health, data freshness, volume, and schema changes with intelligent alerting.
  </Card>
</CardGroup>

***

## Core AI-native functions

<AccordionGroup>
  <Accordion title="1. Multi-Agent Architecture">
    Prizm is built around autonomous, role-driven agents that continuously profile, prioritize, analyze, and remediate data issues — reducing manual intervention and enabling scalable data trust. This is the heart of what makes Prizm truly AI-native rather than just AI-assisted. See [Multi-Agent Architecture](/platform/multi-agent-architecture) for the full technical breakdown.
  </Accordion>

  <Accordion title="2. Unified context across quality, observability & lineage">
    Prizm connects observability signals, data quality metrics, lineage, usage, and business context into a single control plane — ensuring issues are understood in terms of their broader impact, not just as isolated anomalies.
  </Accordion>

  <Accordion title="3. Criticality-driven prioritization">
    Prizm automatically identifies and prioritizes business-critical data assets, focusing monitoring depth and remediation effort where impact is highest — rather than treating all data equally. This is a significant shift from traditional rule-based quality tools.
  </Accordion>

  <Accordion title="4. AI-ready data at scale">
    Prizm continuously evaluates data fitness for analytics, ML, and GenAI use cases — helping organizations scale AI initiatives with confidence, accountability, and reduced operational risk.
  </Accordion>

  <Accordion title="5. Continuous learning from context">
    Built with an agentic core, Prizm learns from metadata, lineage, usage patterns, and outcomes to prioritize what matters, detect issues early, and orchestrate resolution with minimal human intervention — while keeping humans in control through [AI Stewardship](/platform/ai-stewardship).
  </Accordion>
</AccordionGroup>

## AI-native vs. agentic: two complementary layers

Prizm's capabilities split cleanly into two categories that work together:

|                                           | AI-Native (how it's built) | Agentic (what it does) |
| ----------------------------------------- | -------------------------- | ---------------------- |
| Semantic layer & auto-tagging             | ✅                          |                        |
| AI-driven rule generation                 | ✅                          |                        |
| Automated anomaly detection               | ✅                          |                        |
| Self-learning from patterns               | ✅                          |                        |
| Multi-agent architecture                  |                            | ✅                      |
| Autonomous remediation(**advisory only)** |                            | ✅                      |
| Self-healing pipelines                    |                            | ✅                      |
| Human-in-the-loop stewardship             |                            | ✅                      |
| Criticality-driven prioritization         | ✅                          | ✅                      |

**AI-native is the foundation** — how the platform is built and what it understands. **Agentic is the execution layer** — what it does on its own. Prizm is one of the few platforms that genuinely combines both, rather than layering AI features on top of a legacy rules engine.

## Core capabilities

### Intelligent data cataloging

* Automatically discovers and classifies data assets across your organization
* 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

### Real-time data observability

* 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

### Data quality management

* Automatically detects anomalies, duplicates, and inconsistencies
* Implements smart data validation rules that evolve with your data
* Provides root cause analysis for quality issues
* Recommends and executes data cleansing operations

## Architecture at a glance

Prizm is a cloud-native, containerized platform designed to integrate with existing enterprise data ecosystems, supporting deployment in public cloud, private cloud, on-premises, or hybrid environments.

| Layer                              | Role                                                                                                    |
| ---------------------------------- | ------------------------------------------------------------------------------------------------------- |
| **User experience (UI)**           | Web application for configuration, monitoring, triage, and administration                               |
| **API layer**                      | Authenticated REST/GraphQL APIs used by the UI and external integrations                                |
| **Control plane**                  | Orchestrates configuration, scheduling, policies, metadata management, and access control               |
| **Execution plane**                | Workers that run scans, validations, profiling, lineage capture, and other compute tasks                |
| **Metadata & configuration store** | Stores system configuration, policies, RBAC assignments, and operational metadata                       |
| **Telemetry pipeline**             | Centralized collection for logs, metrics, traces, and audit events                                      |
| **Connectors**                     | Secure, least-privilege connectivity to customer data platforms (warehouses, lakes, catalogs, BI tools) |

### Deployment models

* [**SaaS (Prizm-managed)**](/deployment/cloud) — runs in Prizm-controlled cloud accounts, with secure networking options for customer connectivity
* [**Customer-managed (VPC/VNet/on-prem)**](/deployment/on-premises) — runs entirely within the customer's environment for maximum control
* [**Hybrid**](/deployment/hybrid) — control plane and UI centralized, while the execution plane runs closer to customer data

### Security foundations

Prizm follows defense-in-depth principles: least privilege for human and machine identities, separation of duties for administrative actions, and continuous verification (zero trust) for every request.

* **Identity & access**: SAML 2.0 / OpenID Connect SSO, optional LDAP, RBAC with optional ABAC tag-based constraints
* **Data protection**: TLS 1.2+ in transit, AES-256 at rest, vault/KMS-backed secrets management
* **Auditing**: authentication events, authorization decisions, administrative and configuration changes, and data access actions are all logged with actor, action, target, and outcome
* **Compliance mapping**: supports SOC 2 / ISO 27001 and GDPR/CCPA evidence requirements through access control, change management, and audit logging

## Key benefits

<CardGroup cols={3}>
  <Card title="For Data Teams" icon="database">
    Reduce manual data observability and quality tasks by up to 80%, gain end-to-end visibility into assets and lineage, and scale governance practices efficiently
  </Card>

  <Card title="For Business Users" icon="magnifying-glass">
    Access trusted, high-quality data for decision-making and find relevant assets quickly through natural language search
  </Card>

  <Card title="For Organizations" icon="chart-line">
    Increase ROI from data investments, reduce risk from poor data quality, and accelerate time-to-insight across data initiatives
  </Card>
</CardGroup>

## Explore the platform

<CardGroup cols={2}>
  <Card title="Multi-Agent Architecture" icon="robot" href="/platform/multi-agent-architecture">
    How Prizm's specialized agents collaborate to manage data quality and observability
  </Card>

  <Card title="AI Stewardship" icon="shield-check" href="/platform/ai-stewardship">
    How Prizm keeps humans in control of autonomous AI actions
  </Card>

  <Card title="Autonomous Intelligence" icon="brain" href="/platform/autonomous-intelligence">
    The five-layer architecture behind Prizm's self-driving data management
  </Card>

  <Card title="Converse — AI Chat Interface" icon="messages" href="/platform/converse">
    Prizm's natural-language interface for querying, configuring, and acting on your data
  </Card>
</CardGroup>