Maximize data quality.
Build trust in every data decision.
Validatum continuously monitors, validates, and governs data integrity across systems, so you can trust the data powering operations, analytics, compliance, and AI.
By the Time a Data Quality Problem Is Visible, It Has Already Cost You.
Orphaned records. Constraint violations. Cross-system discrepancies. Structural anomalies.
In complex data environments, these are not edge cases. They are operational realities that accumulate quietly and surface as processing errors, audit findings, and downstream system failures.
"Most organizations discover data quality problems reactively. Validatum finds them proactively before they become consequences."
Three Modes. One Platform. Complete Data Observability.
One platform to monitor data quality and integrity within your data warehouse, data lake, OLAP environment, or operational systems, identifying drift, anomalies, and distribution changes before they impact decisions or models.
Accelerate observability and governance with AI-powered monitoring agents that automatically recommend and deploy validation rules, eliminating manual effort and hidden monitoring gaps.
The Validatum Workflow
Six steps from data source configuration to actionable dashboard results.
Set up and integrate databases and file formats as the foundation for quality assessment.
Map source and target for cross-system comparison. Define connections, tables, and columns.
Establish validation rules. AI-powered generation recommends rules based on data structure analysis.
Automate validation rule execution on any schedule. Runs consistently without manual intervention.
Run configured rules to validate integrity, detect anomalies, and verify compliance across all sources.
Real-time insights on an interactive dashboard. Track trends, identify recurring issues, take action.
Built to Scale with Your Data.
Whether you're managing millions or billions of records, Validatum provides enterprise-grade observability, validation, and governance across operational, analytical, and streaming data platforms.
Data Integrity Monitoring
Proactively detects data integrity issues before they create major operational impact. Scans for inconsistencies, orphaned records, business constraint violations, and structural anomalies. Monitors both technical constraints and business rules continuously.
Cross-Database Data Comparison and Discrepancy Detection
Compares data across multiple sources to detect discrepancies during transformation or transfer. Continuous monitoring provides a comprehensive view of data consistency across all distributed systems.
Advanced Validation: Scalar, Set-Based, and Statistical Comparators
Three layers of validation working simultaneously. Scalar checks verify compliance with thresholds. Set-based validation ensures referential integrity. Statistical comparators detect anomalies and outliers that signal potential data corruption.
AI-enabled Rules
Reduces the manual effort of building governance frameworks and accelerates implementation without sacrificing coverage.
Scheduled Validation Execution
Validation rules execute on any desired schedule without manual triggers. Data quality checks run consistently as data changes, as systems update, and as new data sources are added.
Interactive Dashboard and Reporting
Real-time data quality insights on an interactive dashboard. Track trends, identify recurring issues, monitor remediation progress, and generate reports for audit and compliance requirements.
Database Agnostic. Connects to Your Existing Data Infrastructure.
Validatum connects to a wide range of data repositories without requiring changes to your existing environment. Broad compatibility ensures data quality enforcement across all platforms without blind spots.
All leading RDBMS
Native connectivity for Microsoft SQL Server, MySQL, Oracle, PostgreSQL. Full support for within-database monitoring and cross-database comparison.
NoSQL Databases
Integration with MongoDB for data quality monitoring and cross-system validation.
OLAP Databases
Connectivity for Databricks, Snowflake and other OLAP database environments, supporting enterprise-wide data warehouse integrity governance.
File Formats
Support for various file formats for organizations where data quality governance extends beyond structured database environments.
Built for the Teams Responsible for Data Integrity and Governance.
VP of Data / CDO / CTO
Continuous monitoring replaces reactive investigation. Regulatory compliance and statutory data quality requirements met through a system that maintains an auditable record, not one that reconstructs it after a finding.
DBAs and Data Engineers
Data quality issues surfaced at the technical layer with enough specificity to act on. Orphaned records, constraint violations, and cross-system discrepancies identified with the detail needed to remediate, not just flagged for review.
IT Managers
Scheduled execution and dashboard reporting provide continuous visibility into data integrity across all connected systems. No manual investigation required to maintain an auditable record of data quality status.
Chief Operations Officer
Process accuracy relies on data quality. Validatum validates data before execution, preventing upstream failures from affecting downstream processing.
LOB and Operations Managers
LOB heads and operations managers ensure compliance reporting. Scheduled execution and dashboards provide visibility into data integrity across systems.
Hear What Our Customers
Say About Us
I have worked with Key Software, Inc. since 2018 and value their deep understanding of our business needs. Their support is excellent, responsiveness unmatched, and results consistently delivered on time."
Key Software, Inc. has enhanced our claims and utilization platform efficiency by understanding our workflows and business needs. Their team, led by Karthik, is innovative and solution-focused, working seamlessly with both technical and business teams.
I have worked with Key Software since 2018 and value their deep understanding of our business needs. Responsiveness unmatched, results consistently delivered on time
Key Software's DOFR solution gave us visibility into our contract performance that we simply did not have before. What used to take weeks of manual effort now runs automatically.
Frequently Asked Questions.
Everything you need to know before evaluating Validatum for your organization.
Yes. Validatum connects to your existing databases and systems without requiring structural changes. It monitors and validates data within your current environment, not a parallel one.
Rules can be configured manually based on defined business logic, or generated automatically using Validatum's AI-powered rule generation capability.
Validatum identifies and assists in resolving data quality issues. It surfaces the specific records, fields, and discrepancies that require remediation and provides the context needed to act.
By configuring source and target data environments within the platform, Validatum compares data as it moves through transformations and transfers, detecting discrepancies before they propagate to downstream systems.
SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, Snowflake, Databricks databases and various file formats. Additional database compatibility details are available on request.
Month-to-month licensing. No upfront capital expenditure. No multi-year contract required to begin.