Enterprise-grade synthetic data generation — zero PII exposure, full statistical fidelity, infinite scale. Multi-agent AI orchestration that eliminates the test data crisis.
Enterprises spend $332 million annually on test data management. 71% of testing delays are attributed to data availability issues, and 92% of organizations struggle with data privacy compliance while testing.
Existing synthetic data tools suffer from privacy and compliance overhead, statistical validity loss, high duplicate rates, broken referential integrity, and stale data that doesn't reflect current production patterns.
SYNTIV DATA uses multi-agent AI orchestration powered by LangGraph and Gemini to deliver enterprise-grade synthetic data that preserves statistical validity, relationship integrity, and business logic — while guaranteeing zero PII exposure.
Unlike legacy tools that produce statistically flat or duplicate-heavy data, our agentic approach intelligently discovers schemas, preserves cross-table relationships, eliminates duplicates, and validates outputs with rigorous anomaly checks.
Specialized AI agents collaborate through LangGraph orchestration — each handling a distinct phase of the data generation lifecycle.
Agent analyzes source database structure, identifies column types, constraints, foreign keys, and business rules automatically.
Statistical profiling of source data distributions, patterns, and edge cases to ensure synthetic fidelity.
Gemini-powered generation creates statistically valid data preserving relationships, cardinality, and domain constraints.
Rigorous anomaly detection, referential integrity checks, duplicate elimination, and PII verification before delivery.
Multi-agent orchestration framework enabling specialized agents to collaborate through a directed graph workflow.
Google's frontier LLM providing reasoning, schema understanding, and intelligent data generation capabilities.
High-performance backend with real-time WebSocket updates and a modern, responsive frontend interface.
Enterprise-grade data storage with Alembic migrations and robust ORM for schema management.
Comprehensive observability with experiment tracking, logging, and performance monitoring.
Statistical validation engine ensuring synthetic data matches source distributions with mathematical rigor.
The global synthetic data market is projected to grow from $843 million in 2025 to $16.7 billion by 2034, representing a 39.3% compound annual growth rate. Regulatory pressure around data privacy (GDPR, CCPA, India's DPDPA) is accelerating enterprise adoption.
SYNTIV DATA is positioned uniquely at the intersection of agentic AI and synthetic data — offering not just generation, but intelligent, context-aware, relationship-preserving data synthesis that legacy tools can't match.