Index Ventures led the Series A round with participation from Marathon, Pentech and EBRD to support team growth and market expansion.
"Finding a new drug can take over a decade in research, development and clinical trials, and requires thousands of experts working together with complex evidence,"
The seed round was co-led by Giant Ventures and Armilar Venture Partners to support expansion into the UK and Europe.
"We are incredibly excited to have secured such high calibre investors and to have received the continued support of our existing investors, who all believe in our mission of removing barriers to education and empowering economic mobility. With StudentFinance, it takes an average of just four months for reskilled students to find more lucrative employment compared to the UK market average, where the majority of graduates only find employment up to 15 months on from completing their studies. The pandemic has only reinforced the need for solutions that enable people to access quality education to secure employment opportunities and we are making it a reality."
The oversubscribed financing round draws over 20 angel investors to support the upcoming commercial release of the application.
"While there are many emerging tools that champion consumers’ financial degrees of freedom, there aren’t any that provide an independent view of borrowing and debt, despite the impact it can have on people’s financial and mental wellbeing. The purpose behind ilumoni, level of innovation and credentials of the team were more than enough to convince me this was an investment worth making. So much so that I am delighted also to be joining the board."
Project A Ventures led the seed round alongside Passion Capital and angel investors to support the platform's public release.
"At Quix, we believe that it will soon be essential for every organisation to automatically action data within milliseconds of it being created. Whether it’s personalising digital experiences, developing electric vehicles, automating industrial machinery, deploying smart wearables in healthcare, or detecting financial fraud faster, the ability to run machine learning models on live data streams and immediately respond to rapidly changing environments is critical to delivering better experiences and outcomes to people,"