Synthesized and UiPath Tackle the Final Frontier of Automated Testing

LONDON, GREATER LONDON – September 08, 2026 – In a move set to address one of the most persistent bottlenecks in modern software development, AI-native test data firm Synthesized today announced a deep integration with automation leader UiPath. The partnership embeds Synthesized’s data generation capabilities directly into the UiPath Test Cloud, creating a seamless workflow that promises to deliver compliant, realistic, and connected test data on demand. This collaboration marks a significant milestone in the journey from prototype to profit, not just for the two companies, but for the countless enterprises struggling to accelerate their digital transformation without compromising quality.

For years, the promise of continuous testing and delivery has been hampered by a single, stubborn obstacle: data. While test execution has become highly automated, the data needed to feed these tests has often remained a manual, slow, and risky affair. This new integration aims to finally solve that problem by making data preparation a native, repeatable step within the testing process itself, a shift with profound implications for DevOps efficiency and the emerging challenge of validating enterprise AI agents.

The Persistent Data Bottleneck in Modern Development

The global Test Data Management (TDM) market, projected to exceed $5 billion by 2034, is growing precisely because the problem it addresses is so acute. Enterprises are caught between the need for speed and the demands of quality and compliance. Agile and DevOps methodologies require rapid, iterative testing cycles, but these cycles frequently stall while teams wait for appropriate data. According to industry analyses, manual test data setup is often cited as the single hardest part of quality assurance.

Legacy TDM tools, designed for a slower, more siloed era of software development, have struggled to keep pace. These solutions are often script-heavy, disconnected from modern CI/CD pipelines, and slow to adapt. The alternatives are equally problematic. Development teams resort to manually creating records, hardcoding values that quickly become obsolete, or using copies of production data. This last approach is particularly fraught with peril, creating significant security and compliance risks under regulations like GDPR and CCPA, as unmasked sensitive information enters less secure pre-production environments.

Furthermore, production data is often a poor fit for comprehensive testing. It rarely contains the specific edge cases, boundary conditions, or negative scenarios required to build truly robust applications. A test automation engineer might have a perfectly scripted test, but if the corresponding data—a customer with a specific status, an order in a precise state—is unavailable, the automated test fails. This creates a drag on development, restricts test coverage, and makes scaling parallel testing efforts nearly impossible.

A Native Solution: Embedding AI-Driven Data into Automation

The Synthesized-UiPath integration represents a fundamental shift away from this broken model. Instead of treating data as a separate, manual prerequisite, it becomes an automated component of the testing workflow. A configured UiPath test can now directly invoke a Synthesized data workflow, which then generates, transforms, or provisions the exact data state needed for that specific scenario.

This is made possible by Synthesized's 'AI-native' architecture. The platform uses advanced generative AI to understand the statistical properties, relationships, and business rules within an organization's data. It can then generate entirely new, synthetic data that is mathematically representative of production but contains no sensitive information. This 'privacy by design' approach automatically resolves compliance concerns while providing high-fidelity data that behaves like the real thing.

The process is elegantly simple. A team defines its test scenario in UiPath, and the workflow calls on Synthesized to prepare the environment. Synthesized provisions the required data—for example, a complete 'Order-to-Cash' scenario in SAP with linked customer, product, and invoice records—applying all configured privacy rules. Once the data is ready, UiPath executes the test. This entire data-preparation workflow can then be saved and reused, bringing much-needed consistency and efficiency to the testing cycle.

“A test can be fully automated and still be blocked by enterprise data and test environments,” said Nicolai Baldin, Founder and CEO of Synthesized. “Our role is to make the required enterprise states available with the controls, relationships and business conditions the scenario needs. Bringing these capabilities into UiPath helps teams spend less time preparing test environments and test data, and more time validating the business processes that matter.”

Beyond Testing: A Strategic Play for the Era of AI Agents

While the immediate benefits for software testing are clear, this partnership has a deeper strategic significance, particularly for UiPath. Recognized by analysts like Gartner and Forrester as a leader in test automation, UiPath is evolving beyond its roots in Robotic Process Automation (RPA) to become an 'agentic platform' capable of orchestrating a workforce of humans, robots, and AI agents.

Validating these new enterprise AI agents presents a novel and complex challenge. Unlike traditional software, which follows deterministic logic, AI agents are probabilistic and adaptive. Testing them requires more than checking a final output; it requires validating their reasoning, tool usage, and behavior across a vast array of potential scenarios. This is impossible without a rich, dynamic, and realistic data environment.

The Synthesized integration provides the critical data foundation for this new frontier. As Baldin noted, this discipline is “especially critical when the system under test is an AI agent.” To trust an AI agent to act on complex enterprise applications, it must be rigorously tested against production-faithful data that reflects the messy reality of business operations—including rare exceptions and unexpected conditions. By generating this on demand, the integration enables the continuous validation necessary to ensure AI agents operate safely, reliably, and in compliance with company policy.

Commercialization in Action: A Partnership Reshaping the Ecosystem

This integration is a textbook example of a strategic partnership that accelerates commercialization. For London-based Synthesized, it provides powerful market validation and access to UiPath's extensive enterprise customer base. By becoming the only test data vendor sponsoring the upcoming UiPath FUSION 2026 conference, the company is making a clear statement about its commitment to this ecosystem and positioning itself as a key enabler of next-generation automation.

For UiPath, the partnership significantly strengthens its Test Cloud offering, providing a compelling, end-to-end solution that addresses a major customer pain point. It sharpens its competitive edge in a crowded market and reinforces its AI-first strategy, demonstrating a forward-looking approach that extends to the most difficult challenges in software and AI quality. By turning a chronic bottleneck into an automated advantage, the two companies are not just launching a product feature; they are providing a tangible pathway for enterprises to translate their own technological innovations into reliable, profitable outcomes.