AI Agents for Data Management
Our specialized AI agents work together to automate and optimize every aspect of your data management workflow.
Our Specialized AI Agents
Each AI agent is designed to excel at specific aspects of data management, working together to deliver comprehensive solutions.
Profile AI
Automatically analyzes and profiles your data to identify patterns, anomalies, and quality issues.
Key Capabilities
Statistical analysis of data distributions
Anomaly detection and highlighting
Data quality assessment reports
Pattern recognition across datasets
Benefits
Identify data quality issues before they impact your business
Gain insights into your data structure and content
Establish data quality baselines for ongoing monitoring
Reduce time spent on manual data profiling by 80%
CleanseAI
Intelligently detects and fixes data quality issues, duplicates, and inconsistencies across your datasets.
Key Capabilities
Automated duplicate detection and resolution
Missing value imputation with AI
Format standardization across sources
Data validation against business rules
Benefits
Reduce manual data cleansing effort by up to 90%
Improve data quality scores by an average of 75%
Ensure consistent data formats across systems
Minimize data-related errors in downstream processes
TransformAI
Converts data between formats and structures with smart transformation rules that adapt to your needs.
Key Capabilities
Schema transformation and mapping
Format conversion between systems
Complex data restructuring
Adaptive transformation rules
Benefits
Reduce transformation development time by 70%
Automatically adapt to the schema changes
Ensure consistent data transformation across projects
Minimize data loss in and during the transformations
ValidateAI
Ensures data meets schema requirements, referential integrity, and custom business rules before onward processing.
Key Capabilities
Schema validation (data types, formats, nullability)
Referential integrity checks across tables
Custom rule execution (regex patterns, range checks)
Batch and real‑time validation options
Benefits
Catch errors early to prevent downstream failures
Maintain consistent validation standards across teams
Reduce manual QA effort by up to 75%
Support compliance with out‑of‑the‑box rule enforcement
ReconcileAI
Compares source and target datasets to detect mismatches, duplicates, and completeness gaps—automating exception reporting and reconciliation.
Key Capabilities
Row‑level reconciliation with tolerance thresholds
Batch and incremental comparison modes
Automated exception reports with drill‑down
Support for summary‑level and aggregation checks
Benefits
Identify data drift and discrepancies faster
Reduce reconciliation cycle times by 50%
Streamline month‑end and batch processes
Empower teams with clear, actionable exception lists
QualityAI
Runs end‑to‑end data quality assessments, aggregates metrics, and surfaces exceptions for rapid remediation and continuous monitoring.
Key Capabilities
Multi‑dimensional quality checks (completeness, accuracy, consistency)
Quality dashboards with historical trend analyses
Automated alerts on threshold breaches
Integration with workflows to halt on failures
Benefits
Maintain high data quality standards with continuous oversight
Detect quality issues 30% faster than manual reviews
Facilitate root‑cause analysis through detailed exception data
Drive accountability with SLAs and quality scorecards
MetadataAI
Automatically captures data lineage, catalogs transformation logic, and maintains a living metadata repository for governance and impact analysis.
Key Capabilities
Automated lineage capture from all pipeline steps
Centralized metadata repository with search and discovery
Version control and audit trails of transformations
Business glossary with tagging and classification
Benefits
Achieve full traceability for audits and compliance
Accelerate impact analysis when changing data structures
Empower data stewards with a searchable, up‑to‑date catalog
Improve trust and collaboration across data teams
MapAI
Defines, manages, and visualizes field‑to‑field mappings between disparate schemas, with AI‑driven suggestions to speed setup.
Key Capabilities
Visual mapping interface with drag‑and‑drop support
AI‑assisted mapping recommendations based on metadata
Support for complex lookup and transformation rules
Exportable, version‑controlled mapping configurations
Benefits
Cut mapping project time by 60% with AI suggestions
Ensure accuracy and consistency across schema changes
Enable rapid onboarding of new data sources
Eliminate manual errors in mapping spreadsheets
DiscoveryAI
Automatically scans and catalogs all your data sources—databases, file systems, data lakes—building a searchable inventory of schemas, sample values, and metadata.
Key Capabilities
Automated discovery of on‑prem and cloud data assets
Schema extraction for tables, files, and streams
Metadata harvesting (field types, record counts, sample data)
Tagging and classification of sensitive data
Benefits
Gain an instant, comprehensive view of your data landscape
Eliminate manual asset inventories and blind spots
Accelerate initial data assessments by up to 80%
Lay the foundation for governed, compliant pipelines
Seamless Integrations
Our platform connects with your existing data ecosystem, providing a unified experience across all your data sources and destinations.
