Automate synthetic test data generation for databases while maintaining referential integrity. Create high-quality datasets in hours instead of weeks, enabling reliable testing without sensitive produ...
DEMO NOWAutomatically detects table relationships and data distributions
Generates realistic synthetic data ensuring referential integrity
Checks and corrects generated code for syntax and integrity issues
Applies custom constraints during data generation automatically
Supports direct schema import and data export to databases
Reduces test data creation from weeks to hours
Increases testing outcome reliability through accurate data
Enables teams to focus on testing instead of data setup
The Anomaly Investigator detects fraud, errors, and unexpected activity across transactions, logs, and customer behavior — in real time. This AI agent leverages machine learning to identify unusual patterns or deviations in data, helping users quickly pinpoint critical issues without the need for manual data sifting. It monitors streams and batches, enriches alerts with context, and prioritizes cases for review. Key benefits include reduced fraud losses and false positives, improved operational transparency, and accelerated investigation cycles. The agent is particularly useful in data pipeline validation, regulatory compliance checks, and cross-system data reconciliation.
BY CRAYON DATA
The Data Cleansing Agent cleanses, deduplicates, and validates structured and semi-structured data for ML readiness or downstream processing. It addresses data quality issues by fixing missing, inconsistent, or duplicate values to ensure accuracy and reliability. Additionally, it applies domain-specific validation rules to maintain contextual integrity and relevance, while flagging data anomalies for early detection of potential issues.
BY CRAYON DATA
The Data Mapping Agent uses GenAI to intelligently map fields across datasets by understanding context, intent, and structure without requiring a ruleset. It identifies matching fields across different schemas to facilitate seamless data integration, effectively handling naming inconsistencies and nested data structures to ensure uniformity and clarity. Additionally, it suggests optimal schema transformations to enhance compatibility and streamline data workflows. This agent is particularly beneficial for organizations dealing with messy, unstructured enterprise data, enabling a clean data flow for GenAI use. It supports system migration, API unification, and data lake onboarding, making it a versatile tool for various data integration challenges.
BY CRAYON DATA
The Data Quality Agent is a natural language interface designed for creating and monitoring data quality rules with automated SQL generation. It simplifies data quality management, allowing users to declare rules in plain English and automatically generate the necessary SQL checks.
BY CRAYON DATA
The Data Masking Agent automatically identifies and obfuscates sensitive data such as PII, financials, and health information to ensure regulatory compliance and internal safety. It is designed to protect sensitive information in real time while maintaining compliance with regulations like GDPR, CCPA, and PCI.
BY CRAYON DATA
The Validation Agent is designed to validate dynamic fields for merchant and offer data against predefined rules. Its primary purpose is to ensure data integrity and compliance within various data workflows. This agent addresses common data needs by providing robust validation capabilities. It helps businesses maintain high-quality data standards, which is crucial for effective decision-making and operational efficiency.
BY CRAYON DATA
The Metadata enrichment Agent is an AI agent that enriches merchant and product data by automatically assigning attributes, tags, URLs, and images. It ensures standardized, detailed, and usable metadata — powering recommendations, search, compliance, and campaign targeting across systems. This agent receives merchant or product data, parses key fields, enriches with attributes, tags, URLs, and media, validates correctness, and updates records. It improves recommendation accuracy and discoverability while ensuring consistent, standardized metadata across systems. The agent reduces manual effort by 70% with automated enrichment and enhances targeting and personalization beyond campaigns.
BY CRAYON DATA
The Transaction Data Onboarding Agent automates ingestion and normalization of high-volume transaction feeds from diverse sources. It is designed to validate, standardize, and load transactions into target models with deduplication, enrichment, and error handling capabilities. This agent supports both batch and streaming data ingestion, ensuring that PII is flagged for masking. By streamlining the onboarding process, it significantly shortens the time required from weeks to days, reduces ingestion errors, and accelerates time-to-insight for business users.
BY CRAYON DATA
The Data Enrichment Agent enhances structured data with contextual attributes such as geotags, merchant metadata, reviews, and third-party intelligence. It enriches datasets by filling in blanks with relevant external data sources, ensuring completeness and accuracy. This agent improves targeting and segmentation by adding intelligence to otherwise flat records. It connects seamlessly via APIs to various knowledge sources, facilitating dynamic data integration and continuous updates. Additionally, it increases ML feature performance and accelerates merchant/product onboarding with precision.
BY CRAYON DATA
Turn operational complexity into measurable performance gains.
