The Modern Data Quality Platform

Deliver reliable and accurate data for better business outcomes.

Modern Data Quality Platform leveraging observability

A Modern Data Quality Platform delivers the data that matters.

A centralized platform that brings both the data minds and business minds together to not only observe, measure but also visualize, remediate and collaborate on Data Quality issues in their own ways with a focus on direct outcomes and measurable business value.

The DQLabs Platform harnesses the combined power of Data Quality and Data Observability to enable data producers, consumers, and leaders to achieve decentralized data ownership and turn data into action faster, easier, and more collaboratively.

Data Observability

Data Observability

Remediation-centric

Data Relevance

Decentralized Data Ownership

Enhanced Data Collaboration

AI/ML-enabled Semantic Data Discovery

Fast, Reliable, and Scalable

Trusted By Modern Data Teams Worldwide

Observe-Measure-Discover-Remediate
the data that matters

The DQLabs platform harnesses the combined power of Data Observability, Data Quality and Data Discovery to enable data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively.

Unified Data Quality Approach

Regardless of your role, you need a simple, augmented data quality platform that delivers relevant data that meets your unique needs.

DQLabs, Inc is proud to be a Top 10 Semi-Finalist in the Snowflake Startup Challenge 2023.

``Snowflake Startup Challenge 2023: DQLabs in Top 10 Semi-Finalist``
Data Reliability

Improve data trustworthiness for critical decisions using automated data monitoring and notifying data engineers of reliability issues.

Business Quality

Improve confidence in consumption using business outcome-focused checks across processes, process owners, and data stewards.

Fully Automated

Modernize your data infrastructure in minutes using ML-powered, no-code data quality checks.

Performance Delivered

Deliver millions of checks across petabytes of data across lakes and warehouses in seconds.

Security Compliant

SOC Type 2 compliant platform in a highly secure infrastructure with no customer data retrieval.

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Recognitions & Partnerships

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DQLabs ranks as a Leader in the Everest PEAK Matrix® Assessment for Data Observability.

8 Key Data Quality Elements that Enable Real-Time Data Governance
8 Key Data Quality Elements that Enable Real-Time Data Governance
8 Key Data Quality Elements that Enable Real-Time Data Governance 1024 575 DQLabs

According to Gartner, by 2025, 80% of organizations aiming to scale their digital business will fail due to their inability to adopt a modern approach to data governance. Traditionally, data governance was often viewed as a reactive process, taking place after data was collected, stored, or analyzed. Governance teams would evaluate data quality, enforce rules,…

5 Key Strategies to Foster Data Trust for AI in Life Sciences & Pharma
5 Key Strategies to Foster Data Trust for AI in Life Sciences & Pharma
5 Key Strategies to Foster Data Trust for AI in Life Sciences & Pharma 1024 575 DQLabs

The life sciences and pharmaceutical sectors are evolving with the influence of AI, especially generative AI, which is opening up new approaches to research, clinical trials, and patient engagement. Generative AI promises substantial value in the life sciences and pharmaceutical industries, with McKinsey estimating an annual economic impact of over $60 billion. This largely arises…

What is DataOp
What is DataOps
What is DataOps 1024 575 DQLabs

Data workflows today have grown increasingly intricate, diverse, and interconnected. Leaders in data and analytics (D&A) are looking for tools that streamline operations and minimize the reliance on custom solutions and manual steps in managing data pipelines. DataOps is a framework that brings together data engineering and data science teams to address an organization’s data…

The Need for Data Quality Management in the Life Sciences Industry
The Need for Data Quality Management in the Life Sciences Industry
The Need for Data Quality Management in the Life Sciences Industry 1024 575 DQLabs

Life sciences continue to make quantum leaps into their future with each passing moment. The last pandemic has made it evident that data is a key enabler for swift measures in response to market fluctuations and the stimulation of innovation. Data-driven initiatives have been invaluable in everything from accelerating clinical trials to optimizing manufacturing processes…

DQLabs, Inc is proud to be a Top 10 Semi-Finalist in the Snowflake Startup Challenge 2023.

``Snowflake Startup Challenge 2023: DQLabs in Top 10 Semi-Finalist``