DataOps Suite
Data Quality and Agentic AI platform that validates, reconciles, scores, monitors and remediates data from ingestion to BI and AI.
Why one platform
DataOps Data Quality
Continuously profiles, validates and scores enterprise data, with Agentic AI that recommends rules and flags anomalies, so analytics and AI run on trusted data.
Capabilities
ETL Validator
Automates ETL/ELT testing, with Agentic AI that builds tests from mapping docs, confirming every record arrives complete, accurate and correctly transformed.
Capabilities
BI Validator
Automates testing and governance for Power BI, Tableau and Oracle Analytics, with Agentic AI that builds tests from plain English and keeps reports accurate and reliable.
Capabilities
Test Data Manager
Uses Agentic AI to detect and mask sensitive data and generate synthetic data that mirrors production, so teams can test without exposing real records.
Capabilities
Data Quality Use Case
Start from the outcome your team needs, with Agentic AI doing the groundwork.
Cloud Platforms Use Case
Validate and monitor data and its quality on the platforms you already run, backed by Agentic AI.
BI and Analytics Use Case
Keep every report accurate across your BI tools, as Agentic AI builds the tests for you.
Banking, Financial Services, and Insurance (BFSI)
Stop reporting errors before examiners find them, with every number traced from core system to board dashboard.
How Datagaps helps
Healthcare
Keep claims and clinical data accurate through every migration, without exposing patient records in testing.
How Datagaps helps
Life Sciences
Catch issues in clinical and real-world data before submission, and keep trial subject data out of test environments.
How Datagaps helps
Manufacturing
Avoid broken ERP cutovers and supplier overpayments, and catch sensor drift before it hits production.
How Datagaps helps
Retail and Utilities
Catch settlement, inventory and pricing errors before your customers or regulators do.
How Datagaps helps
Higher Education & Research
Get enrollment, financial-aid and transcript data right before SIS cutover, before students feel it.
How Datagaps helps
Trusted Data Summit
A practitioner summit focused on the validation, observability, governance, and reconciliation practices that determine whether enterprise data is ready for AI.
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Customers and tools
Support
Automating Financial and Production Data Reconciliation for a U.S. Property Insurer
A major U.S. property insurer managing 600 to 800 data interfaces and pipelines across Oracle, Oracle PeopleSoft, Guidewire, and AWS
Datagaps
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Why teams trust Datagaps
100+ Enterprise Customers
Datagaps partners with Vega IT
Bringing trusted data foundations to digital and AI transformation.
Technology Partners
Datagaps works natively with the cloud, data and BI platforms your teams already run.
Our technology partners
SI Partners
Consulting and integration firms that deliver Datagaps validation for enterprise clients worldwide.
Our SI partners
Platform
Solutions
Use cases
Cloud platforms
BI and analytics
Industries
Trusted Data Summit
A practitioner summit focused on the validation, observability, governance, and reconciliation practices that determine whether enterprise data is ready for AI.
Resources
Learn
Customers and tools
Support
Company
Datagaps
Get in touch
AI-Automated Data Validation for Trusted Business Insights
Data-driven organizations face rising challenges in ensuring data accuracy. Datagapsโ AI-powered DataOps Suite automates ETL testing, migration, and reconciliation- achieving 99.9% data quality, 75% less manual effort, and 30% cost savings. Datagaps delivers end-to-end validation and observability, empowering enterprises to make reliable, data-driven decisions with a competitive edge.
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