Toffer Winslow's product writes a Java unit test about once every two seconds. That is the number he leads with, and it is the number that gets him into rooms, but it is not really the point. The point is who is in those rooms. Diffblue's customers include four of the ten largest banks in the United States, plus Citi, ING, Cisco, AstraZeneca, and the Bank of New York Mellon - which is to say, a roster of institutions whose entire operating premise is that unproven software is a liability, and whose lawyers get nervous when anyone says the words "generative AI."
So Winslow's daily work is a kind of translation. Most of the noise in AI-for-software right now comes from a handful of enormous companies pointing very large language models at every problem at once. Diffblue does the opposite. Its technology, spun out of Oxford University's computer science department, uses reinforcement learning to produce tests that are deterministic - the same input yields the same output, every time - and it runs on-premises, so no customer code is shipped off to train someone else's model. For a bank, that combination is the whole sale. Winslow's job is to keep saying it until the risk committee believes him.
He took the CEO seat because the pieces were already in place. "Diffblue's deterministic AI technology, committed employees, blue chip customers, and visionary investors are a rare and enviable foundation on which a great company can be built," he said on arriving. He is a builder who prefers to join after the foundation is poured - which, over three decades, has become something of a specialty.