Synthetized, a startup based in London and New York that uses artificial intelligence to automate software tests, has collected $ 20 million in new venture capital financing, because the demand for quality tools for quality assurance in the technical industry.
The Series A Finance Round was led by Redalpine Venture Partners, with the participation of IQ Capital, Mercia Ventures, UBS and Seedcamp. Deutsche Bank, who has previously invested in the company and is also a customer of synthesized, has also invested in the new financing round.
The company did not disclose its appreciation after the financing round.
Synthesized hope to take advantage of an increasing demand for software quality assurance, the founder and CEO Nicolai Baldin told Fortune. With the increasing popularity of “vibe coding” the use of AI to write computer software, simply from a description of what the software should do-EVEN-EALL AI-driven coding staff who give suggestions to human coders, testing the resulting code to ensure that it works well.
“We ensure that we really identify those things that will break your app, at the level of the environment at the environmental level and help you expose those breaks,” Baldin said. “This is absolutely crucial because those traditional (testing) coordinators don’t.”
The need for this type of test is growing rapidly. Expenditure on automated software evaluation tools is expected to reach $ 10.6 billion by 2033, an increase of $ 1.9 billion in 2023, according to a market research report from Market.us.
“Synthetized is tackling one of the most urgent and overlooked challenges in the Ai era: how to test, validate and trust what we are building,” said Daniel Graf, general partner at Redalpine, in a statement. “Their platform not only generates high-quality test data lays the foundation for a new class of autonomous QA agents who will transform how modern software is verified and sent.”
Baldin founded synthesized in 2020 after completing a doctorate. In Machine Learning and Statistics from the University of Cambridge. Initially, the company focused on automated tests of machine learning algorithms to find the border cases on which these AI models would fail. The company also developed tools for assessing the bias in models for machine learning. But the company has now also switched to testing traditional species on rules -based software.
Baldin said that the company has focused on what he calls the most complex parts of the test process, of which he said it was realistic data and environments for assessing business software.
