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Data Quality and Data Observability for AI, Powered by AI
Get enterprise-wide Data Quality and Data Observability coverage for AI and analytics applications, products, and services — 10x faster than legacy solutions.
Lightup Customer Success
See How Enterprises Succeed with Lightup Data Quality and Data Observability
Fortune 500 Companies Trust Lightup
Focused on helping large enterprises with their data transformation and Data Quality journeys, Lightup eliminates the typical challenges and limitations of outdated legacy solutions, driven by our proven success framework:
- Scalability: Lightup’s signature pushdown architecture enables massive scalability, supporting deep Data Quality checks across large data volumes in warehouses and lakehouses — without degrading system performance like legacy tools.
- Democratization: While legacy solutions require specialized technical skills to manually code Data Quality rules, Lightup’s inclusive approach is accessible to non-technical business users and engineers alike, democratizing Data Quality for broader participation, rapid coverage, and enterprise-wide adoption.
- Structured to Unstructured Data: From Data Quality for structured to unstructured data, Lightup monitors the quality of tabular data for traditional BI and analytics applications, plus the quality of unstructured data, such as documents, feeding new GenAI and LLM applications.
Customer Testimonial
At Skechers, one of our top priorities is to deliver reliable data and insights to our business users and decision-makers promptly.
Thanks to Lightup’s AI-based data observability and monitoring, we successfully streamlined our data quality and availability checks at scale … while simultaneously freeing up valuable resources and boosting the team’s productivity.
Vice President of Data, Analytics, and Insights
Skechers
Customer Testimonial
Lightup has been a boon for us, enabling high-quality data monitoring while being performant in a cloud-native ecosystem.
Senior Director of Data and Analytics
McDonald’s
On-demand Webinar: "What's New in Lightup?"
From BI to AI, Lightup Expands Support for Unstructured Data
While Data Quality and Observability solutions have traditionally focused on structured data for business intelligence (BI) and analytics applications, they aren’t designed to monitor the unstructured data feeding Large Language Models (LLM) for AI applications.
That’s where Lightup helps bridge the gap by applying similar principles to both data types: Just as SQL query engines power the structured datasets and observability metrics for BI and analytics applications, LLMs function as the “query engines” for unstructured data — essentially powering both AI applications and observability metrics in Lightup.
From BI to AI, Lightup is expanding to support Data Quality and Observability for unstructured data.*
*Beta preview for Unstructured Data Quality coming soon.
Empower Business Users with Democratized Data Quality
We believe in democratizing Data Quality, making it accessible to all — without relying on specialized data engineers to code every rule by hand.
Business-Friendly for Non-Technical Teams
- Eliminate traditional barriers, allowing business users to write checks without coding or learning a proprietary rule engine.
- Enable hundreds of users to write their own checks, not just a centralized data team.
- Customize business-specific checks with full SQL interface.
By using Lightup, data stewards and engineers become facilitators, fostering data literacy while guiding and supporting others in the Data Quality management cycle. Managing and maintaining Data Quality is no longer confined to a select group — it’s a shared responsibility, part of a company’s data-driven culture.
Extreme Scalability with Data Quality and Data Observability Automation
Lightup integrates automation in all the right places to help enterprise organizations scale checks quickly and easily, eliminating the time-consuming drudgery of manually defining thousands of Data Quality rules and anomaly thresholds.
AI-Powered Anomaly Detection, with Copilot Supervision
Powered by AI and developed with advanced algorithms, Lightup’s Anomaly Detection offers copilot supervision for the right level of control and feedback to support business-specific DQ use cases.
Why? Generic Anomaly Detection methods with unsupervised learning are ineffective, unreliable, and too noisy when it comes to DQ applications.
With Lightup, AI drives precision at scale for unrivaled Anomaly Detection capabilities, built to find outliers, sharp deviations, nuanced seasonality, hidden trends, and more.
Unique backtesting and review workflows to confirm requirements and expected behavior before deployment.
Battle-tested to ensure accuracy and reliability, especially in complex data environments.
Deep insights to understand outliers, trends, seasonality, and obscure discrepancies at enterprise scale.
Extreme Scalability with Data Quality and Data Observability Automation
Lightup integrates automation in all the right places to help enterprise organizations scale checks quickly and easily, eliminating the time-consuming drudgery of manually defining thousands of Data Quality rules and anomaly thresholds.
AI-Powered Anomaly Detection, with Copilot Supervision
Powered by AI and developed with advanced algorithms, Lightup’s Anomaly Detection offers copilot supervision for the right level of control and feedback to support business-specific DQ use cases.
Why? Generic Anomaly Detection methods with unsupervised learning are ineffective, unreliable, and too noisy when it comes to DQ applications.
With Lightup, AI drives precision at scale for unrivaled Anomaly Detection capabilities, built to find outliers, sharp deviations, nuanced seasonality, hidden trends, and more.
Unique backtesting and review workflows to confirm requirements and expected behavior before deployment.
Battle-tested to ensure accuracy and reliability, especially in complex data environments.
Deep insights to understand outliers, trends, seasonality, and obscure discrepancies at enterprise scale.
Automatically Fix Bad Data, at Enterprise Scale
Monitoring and observing the quality of data is just one part of the Lightup solution. What happens when bad data is detected? How do you fix issues automatically, at enterprise scale?
Fixing data issues at scale requires an automated approach to apply programmatic changes and integrate remediation workflows.
Lightup’s API enables customized design patterns that trigger corrective actions to fix incidents automatically — saving time and eliminating manual remediation steps.
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