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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Our Customers

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

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…

The Role of Data Quality Management in Healthcare Innovation
The Role of Data Quality Management in Healthcare Innovation
The Role of Data Quality Management in Healthcare Innovation 1024 575 DQLabs

Data quality management is essential in any field, but in healthcare, it is critical. In an industry where patient information is both highly sensitive and critical to care delivery, maintaining accurate and reliable data is important. If medical records are incomplete or inaccurate, it can lead to misdiagnosis, incorrect treatments, and in some cases, life-threatening…

Integrating Data Quality Checks in Data Pipelines
Integrating Data Quality Checks in Data Pipelines
Integrating Data Quality Checks in Data Pipelines 1024 575 DQLabs

Data is increasingly becoming the driving force of every organization in the modern world. Organizations want to leverage their data landscape to ensure that data-driven decision-making is a core part of their business operations.  However, bad quality data is one of the biggest challenges in implementing robust data-driven decision-making. Data, right from its source, and…

The High Cost of Data Preparation in Healthcare
The High Cost of Data Preparation in Healthcare: A Case for Improvement, Lower Cost, Faster Time to Market and Precision Insights
The High Cost of Data Preparation in Healthcare: A Case for Improvement, Lower Cost, Faster Time to Market and Precision Insights 1024 575 DQLabs

Healthcare has seen explosive growth in Data Science, Actuarial Science and AI over the past decade, but may see a point of diminishing returns if these practices were not built on a solid foundation. In recent years, Healthcare companies are finding the need to not only improve their data quality, but to reduce the time…

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``