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
Data Quality Monitor
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.
Learn
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
The Trusted Data Summit is an annual event that brings together industry experts and fellow data champions to explore the latest strategies, tools, and best practices in building and maintaining trust in your data.
The summitโs theme is Empowering Your Data Ecosystem with Trustworthy Data.
Tracks
Speakers
Registrations
Watch on-demand recordings of all sessions and workshops.
David Small - Global VP of Sales at Datagaps Inc.
Rajarajan Sampath โ Principal at PwC
Forrest Swope - Director of Data Operations Mohan Vijay Adusumilli - Quality Assurance and Testing Lead at The University of Virginia
Watch on-demand recordings of all sessions and workshops.
David Small โ VP Sales and Marketing at Datagaps
Rajarajan Sampath โ Principal at PwC
David Small โ VP Sales and Marketing at Datagaps
Thadi Murali โ Capital Markets Company, Managing Principal
Sagar Adhikary โ Freddie Mac, Senior Manager
Evan Levy โ Integral Data LLC, Partner
Naresh Kumar Nunna โ Qualitest, Head of Data CoE
Kasturi Sen โ New York University(NYU), Data Governance Lead
Donald Farmer โ TreeHive Strategy, Principal
Read blog posts on various aspects of data trust, from data governance to data quality.
Save the date and join us for a day of profound insights about data with industry experts and fellow data champions.
Join us at the Trusted Data Summit for deep insights, hands-on workshops, and networking opportunities with industry experts and fellow data champions. Hereโs what you can look forward to:
The Trusted Data Summit welcomes professionals from diverse backgrounds and roles, including: โ Data Stewards โ Chief Data Officers โ Data Governance Specialists โ Data Quality Analysts โ Compliance Officers โ Data Engineers โ Business Intelligence Professionals โ Anyone committed to ensuring data trustworthiness.
Validate uniqueness, completeness, domain accuracy, and detect orphan records.
Identify data drift and outliers using ML-based statistical methods and IQR-based profiling.
Create and deploy validation rules quickly without coding, even across large datasets.
Visualize data quality trends across models, tables, and records with actionable insights.
Enable continuous validation across pipelines using integrated APIs and DevOps compatibility.
Automatically create realistic data based on patterns in production while masking PII/PHI.
Eliminate manual rule-writing and speed up test readiness for complex use cases.
Generate millions of records in JSON, XML, CSV, relational, or hierarchical formats.
Ensure sensitive fields are protected using deterministic, reversible, or random masking.
Deploy within your secure environment and integrate into automated pipelines seamlessly.
Validate billions of records using Spark-powered parallel execution across on-prem and cloud sources.
Reduce migration testing time by up to 60% and QA costs by 30% with automated workflows.
Detect schema mismatches and ensure business rules are correctly applied via AI-assisted validation.
Enable role-based access, ALM integration, and shareable web reports to unify cross-team efforts.
Empower both technical and business users to build, schedule, and execute validations using prompt-based automation.
Detect broken visuals or logic changes post-upgrade and data refreshes.
Compare visuals and data across environments and BI tools with zero manual effort.
Simulate concurrent user access to measure response times and report load failures.
Ensure only authorized groups have access to the correct records and reports.
Identify formatting inconsistencies, filter changes, and layout drift with each release.
Intelligent Data Validation and Analytics Testing Platform with Agentic AI.
Automated Data Validation and ETL Testing with Agentic AI.
Smarter BI Validation For Power BI, Tableau, Oracle Analytics โ Accelerated by AI Agents.
Proactive Data Quality with Agentic AI โ Predict, Prevent, Govern.
Generate compliant and realistic test data for all your testing needs, enabled by Agentic AI.
