The spin-off Diffblue  is a leader in AI that also understands how software code works. This means that they are capable of reaching their goal of automating all traditional coding tasks (such as bug fixing, text writing, translating, etc.).  This young company has raised 22 million dollars just a year after it has left the world of academia, where the idea behind the business was nurtured during ten years of research . This funding was raised from Series A funding, or the first significant round of funding for the company, and was led by Goldman Sachs Principal Strategic Investments .
Currently, Diffblue has released one prototype and is hoping to start testing two others soon. The first testing product can find bugs and write tests for software. While these tasks are on the lower end of development, they are both laborious and essential to the final product.  When the prototypes are ready for production, Diffblue hopes to offer an automatic testing system for software, meaning that coders will be able to spend less time testing their codes and, ultimately, improving code quality .
The team behind Diffblue is made up of some of the world’s leading experts in computer verification and machine learning . They also have the support of Oxford Sciences Innovations (OSI), who is excited about how this company is taking world-class research and turning it into a truly innovative product . The founder of this spin-off, Daniel Kroening, is a Professor of Computer Science at the University and hopes that one day Diffblue will be smart enough to write programmes alone .