Diffblue is fast becoming a QA darling of the European and U.S. financial services sector.
The UK-based firm, whose customers include Citi, ING, S&P Global, and BNY, is expected to gain further momentum now it has received a £1 million capital injection from Innovate UK to advance its AI-driven software engineering platform.
“The new funding accelerates the advancement of Diffblue’s reinforcement learning-powered solutions for autonomous test code generation,” the Oxford company shared in a statement.
Diffblue, which claims to have created the world’s first fully-autonomous AI agent for unit test generation, said the fresh capital raise marks “a significant step forward” in its ongoing effort to harness the power of AI for software engineering, creating new opportunities for businesses to scale and engineering teams to focus on innovation, as the firm put it.
Diffblue, in partnership with King’s College London, British Telecom (BT), GoCodeGreen, and other European collaborators, “will leverage the opportunity to develop tools and processes that automate complex software engineering tasks, improve software quality, and accelerate development cycles,” according to Peter Schrammel, CTO and co-founder of Diffblue.
Together, they are developing AI algorithms capable of automating testing, code generation, and software maintenance, while also exploring new methods to enhance system performance and reduce errors in the software development lifecycle.
“AI is rapidly changing the way software is developed, and we are channeling this shift.”
– Peter Schrammel
Founded by researchers from the University of Oxford, Diffblue uses AI technology to, as the firm claims, “transform the way developers write code.”
An early pioneer of generative AI, Diffblue leverages reinforcement learning to automate tedious and error-prone parts of the software development lifecycle with trusted results.
Capable of writing unit tests 250x faster than a human developer, Diffblue Cover autonomously helps software teams improve code quality, expand test coverage and increase productivity so they can ship software faster, more frequently, with fewer defects.
A host of banks and financial services firms have started using the solution in recent years, including Citi, ING, Workday, S&P Global, ING, and BNY.
Unlike traditional Large Language Model (LLM)-based tools, Diffblue’s approach to generative AI combines reinforcement learning with code execution to improve accuracy and eliminate hallucinations, the company explained.
In other words, “by learning from each test it runs against actual code, Diffblue’s product Diffblue Cover can refine outputs to generate high quality unit tests, all of which are guaranteed to compile and pass while automatically delivering high levels of coverage and test strength,” explained Schrammel.
He stressed that “AI is rapidly changing the way software is developed, and we are channeling this shift to bring scalable development solutions to enterprises so they can innovate with greater speed and confidence.”
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