Data Sentinel

AI-Powered Enterprise Data Quality Engine

What is Data Sentinel

A Generational Artificial Intelligence (Gen AI) based data quality assessment tool that securely ingests your enterprise data without copying it, analyses your data, generates data quality dashboards and reports, and transforms your bad data.

Traditionally, companies manually identify & build data quality rules and then create dashboards and reports. Data Sentinel has 70+ prebuilt data quality rules & 50+ data transformation rules. This tool substantially reduces the overall effort, time & cost in the data quality process.

Simply Connect your data files, select from the ready to use list of prebuilt data quality rules or import your own rules, Run the tool and view the different dashboards Clean your enterprise databases.

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This reflects who we are at the core, what we stand for, live, and breathe every single day. This powers our brand and inspires every Movator to pursue excellence at work with speed and innovation.

Resource Centre

Faster time to insights

Data Sentinel helps you save time by eliminating the need to create new rules from scratch.
Just connect your source systems, configure the rule suite, and access ready-to-use dashboards.

Improved Accuracy & Trust

Quickly identifies and fixes anomalies, missing values, and structural inconsistencies to ensure data reliability.

Reduced Costs

Eliminates manual rule-building and reduces engineering overhead by leveraging 70+ prebuilt rules and smart transformation logic.

Enterprise-Wide Visibility

Provides a centralized view of data quality metrics and performance across all systems, helping pinpoint sources of bad data.

Flexibility

Data Sentinel helps in effortlessly building your own custom rule suite, without additional time or effort. It enables you to create data transformation rules tailored to your specific business needs.

Key differentiators

Data Sentinel combines GenAI-powered data profiling, 70+ prebuilt rules, and automated cleansing to deliver real-time visibility, accuracy, and transformation without moving your data. This enables end-to-end quality governance across modern enterprise ecosystems.

Connects directly to data sources

No need for data duplication or movement.

Uses 70+ prebuilt rules and 50+ transformations

Ready-to-use logic for faster deployment and improved accuracy.

Persona-based functionality

Tailored interfaces and controls for business users, data stewards, and technical teams.

Automated profiling, cleansing, and reporting

End-to-end automation of the data quality lifecycle.

AI/NLP-driven pattern recognition and masking

Automatically identifies sensitive data and recurring data issues.

Dashboard generation with minimal configuration

Instantly visualize data quality status without manual setup.

Enterprise Scalability & Flexibility

Supports a wide range of connectors—Postgres, MySQL, Redshift, Snowflake, Azure, Databricks, CSV, and more—for seamless, scalable integration.