The investment will accelerate hiring across go-to-market, customer success, AI R&D, and engineering in North America and Europe.

Fixing the software slowdown at scale

Founded in 2020 by Nicolai Baldin, who has spent the past decade in professional machine learning and engineering, Synthesized uses agentic AI to automate the most difficult parts of QA and testing - the provisioning of lifelike, regulation-safe test data and full test environments for enterprises in minutes, not weeks. 

Companies rely on this test infrastructure to safely test new software, but creating realistic versions without exposing customer information is slow, costly and risky. 80% of software delays come from waiting for test data and test environments to be set up (World Quality Report, 2023), while 40% of QA budgets are lost to manual test data management (Forrester, 2022).

This challenge is even greater at scale, in large enterprises, where thousands of applications have to be modernised, updated, and tested continuously while still in use. And it becomes mission-critical in regulated sectors such as banking, healthcare, energy, and life sciences. 

At the same time, the rise of 'vibe coding' compounds things further. WIth anyone able to spin up an app in seconds, often without any engineering expertise, the need for faster, more rigorous testing is more important than ever to avoid vulnerabilities, instability, and compliance risks flooding the market.

AI-native and scalable by design

By automating the toughest and often strictest parts of this QA process – handling complex data, managing compliance rules, plugging directly into CI/CD pipelines and streamlining migration – Synthesized’s agentic AI removes these costly bottlenecks while being able to scale with demand. Crucially, Synthesized complements existing testing solutions by addressing the most complex challenges of test data and test environments that often prevents their adoption at scale. The platform is designed for today’s heterogeneous IT environments, supporting end-to-end needs across all databases, enterprise packaged applications, and custom-built systems.

It allows teams in even the most regulated sectors to release software twice as fast, halve their compliance load, and reduce cloud migration timelines by up to 75% – a competitive advantage that comes from the fact Synthesized was built AI-native from the ground up. This gives it more scalable automation, faster time to market and provides a more secure compliance environment compared to legacy platforms. 

Compliance without compromise

This approach also means the platform adapts automatically to changing systems and rules, with compliance at its core. Privacy controls such as masking, anonymisation and region-aware protections are built in, so sensitive customer information never leaves production environments. Continuous monitoring and ready-to-use audit reports then simplify regulatory reviews, all of which keeps enterprises at the forefront of standards. No matter how they evolve. 

Deutsche Bank has seen its test data provisioning time drop 50% with Synthesized, while accelerating product iterations and improving customer experience. Other global enterprise clients report up to 40% reduction in QA spend, and more stable, high-quality releases. Today, Synthesized is trusted by a growing roster of global giants from UBS and Deutsche Bank to fast-scaling startups and enterprises across all industries including banking, financial services, insurance, public sector, healthcare, life sciences, energy, and technology.

“Test data infrastructure is the foundation for quality software. By embedding agentic AI into every layer of testing, we’re enabling organizations to modernize QA processes, accelerate digital transformation, and confidently adopt AI-native testing,” said Nicolai Baldin, Founder and CEO of Synthesized. “With this funding, we’re scaling our team and accelerating our mission to make AI-driven test data and infrastructure the foundation for modern enterprise QA and software delivery.”

“Synthesized is tackling one of the most urgent and overlooked challenges in the age of AI: how to test, validate, and trust what we build. Their platform doesn’t just generate high-quality test data - it lays the foundation for a new class of autonomous QA agents that will transform how modern software is verified and shipped. We believe Synthesized can become the infrastructure layer for intelligent, automated quality assurance across regulated and mission-critical systems.” said Daniel Graf, General Partner, Redalpine.

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