Built for Speed
Designed for Trust
Agentic AI-Powered Data Observability
and Data Quality Platform.
Why DQLabs?
One Unified Platform. No More Data Issues.
Data Observability
Ensure continuous data trust and actionable insights with instant issue detection, root cause analysis, and proactive alerts.
- Real-time monitoring of data, pipelines, usage, and cost.
- Automated anomaly detection with reduced false positives.
- Unified end-to-end pipeline observability.
Data Quality
Enable trusted data for AI initiatives with AI-driven rule automation, OOB checks, and complete lineage assurance.
- Out-of-the-box and custom no-code rules for instant setup.
- AI-driven rule generation and attribute-specific recommendations.
- End-to-end data lineage and impact analysis for trust and compliance.
Auto Semantics
Operationalize business and domain context via automated discovery, classification, and tagging—powered by DQLabs’ semantic layer.
- Auto-discover and classify business context—no manual mapping.
- Instantly tag data assets with business terms and domains.
- Rapid rule inheritance and deployment accelerate onboarding.
Agentic AI
Transform data management with autonomous AI agents for quality, observability, and efficiency at enterprise scale.
- Achieve faster MTTD with real-time anomaly and drift detection.
- Reduce dependence on SMEs with automated, repetitive task handling.
- AI-driven recommendations deliver smart rules and impactful quality insights.
DQLabs Is a Visionary in the
2025 Gartner® Magic
Quadrant™ for Augmented
Data Quality Solutions
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
DQLabs Platform
Unified Data Observability & Data Quality
Powered by Semantics & Agentic AI
Trusted Data for Every Role, Every Decision
Data Engineers
Smoother Pipeline Reliability
Quickly detect schema changes and anomalies, identify root causes, and maintain reliable data pipelines for consistent, trusted data delivery.
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Data Leaders
Drive Confident Business Outcomes
Gain real-time, organization-wide visibility into data health to power strategic decisions and drive measurable results.
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Data Scientists
Ensure Model Reliability
Detect schema changes and data inconsistencies, monitor data drift, and maintain trustworthy inputs for robust AI/ML models.
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Data Architects
Resilient Data Architectures
Ensure data integrity across complex systems with automated quality checks and seamless integration to 50+ data management tools.
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Data Stewards
Trusted Stewardship at Scale
Maintain data integrity, enforce governance policies, and ensure compliance with automated monitoring and end-to-end lineage tracking.
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