Synthesized has announced its Test Data Agent, a new agentic infrastructure capability being developed to create and provision the realistic data, business context, and system states enterprises need to validate AI agents safely before production deployment. The agent integrates with development, evaluation, testing, and orchestration frameworks.
Synthesized launches Test Data Agent for enterprise AI agent validation.
Creates production-faithful data and environments for pre-production testing.
Supports complex SAP estates with purpose-built validation capabilities.
Enables continuous agent improvement with repeatable test scenarios.
Runs within customer-controlled on-premises, private-cloud, and hybrid environments.
Already in early access with tier 1 global bank design partners.
Enterprises can build AI agents faster than they can prove those agents are ready to operate across mission-critical workflows. Model evaluations and demonstration datasets can show whether an agent produces a plausible response. They cannot establish whether it will make the correct decision when confronted with the data, permissions, application states, business rules, and cross-system dependencies found in a real enterprise environment. An agent that performs well in a controlled test may still fail when it encounters missing records, unusual transactions, conflicting instructions, access restrictions, or complex dependencies.
The Test Data Agent identifies the business entities, records, relationships, and system states required for a test; generates, masks, or subsets production-representative data; preserves referential integrity, statistical characteristics, and business rules across interconnected systems; creates repeatable happy-path, exception, failure, and adversarial scenarios; refreshes validation environments as applications and enterprise data evolve; triggers provisioning through REST APIs and CI/CD pipelines; and operates within on-premises, private-cloud, and hybrid environments under existing security controls. The agent is particularly valuable for complex SAP environments where a single business process can involve multiple related tables, organization-specific configurations, authorization rules, and integrations.
"Building an agent is becoming easier. Proving that it can be trusted with a real business process is not," said Nicolai Baldin, Founder and CEO of Synthesized. "Evaluation frameworks can measure how an agent performs, but they still need a realistic world in which that performance becomes meaningful. The Test Data Agent is built to create that world safely, before an agent is allowed to act on live systems."
About Synthesized
Synthesized provides AI-native test infrastructure for enterprises operating complex and highly regulated technology environments. Its Test Data Management and automation platform enables organizations to discover, generate, mask, subset, and provision production-representative test data while protecting sensitive information and preserving the relationships and business rules required for effective testing. Synthesized supports on-premises, private-cloud, and hybrid deployments across enterprise applications, databases, and data platforms. Its technology is used to accelerate application development, software testing, system migration, and the validation of enterprise AI agents. Synthesized is headquartered in London, with operations in the United States and Europe.
