Every day, Global University Venturing rounds up investments from across the university innovation ecosystem in its deal net.
Paragraf, a UK-based graphene electronics producer spun out of University of Cambridge, has raised a series B round reported by the Financial Times to be worth $60m. Investors in the round include the UK government-owned Future Fund’s Breakthrough scheme and In-Q-Tel, the venture capital firm aligned with the US Central Intelligence Agency, as well as Molten Ventures and Amadeus Capital Partners. Paragraf is valued at approximately $170m post-money, the report said. Paragraf had previously raised just over $25m, having closed a $21.3m series A round involving tech transfer office Cambridge Enterprise and Parkwalk Advisors, the fund management arm of commercialisation firm IP Group, in late 2019.
CroíValve, an Ireland-based medical device developer spun out of Trinity College Dublin, has picked up €8m ($9m) in funding supplied by Atlantic Bridge-managed University Bridge Fund, according to the Irish Times. The round was led by Hban and also included Enterprise Ireland, Broadview Ventures, SOSV, Elkstone, Ascentifi and DBIC. University Bridge Fund was among the investors in the spinout’s previous round in September 2019 and April 2019.
TempMee, a US-based marketplace for dental offices to hire dental hygienists on a temporary basis, has received $4.1m in a seed round featuring Florida Institute of Technology. The round was led by Roo Capital and also attracted Florida Funders, Miami Angels, Flamingo Capital, Soliloquy Ventures and Park Ventures.
AnaCardio, a Sweden-based biopharmaceutical developer focused on heart failure that was spun out of Karolinska Institute, has raised SEK33m ($3.6m) in a convertible loan provided by commercialisation firm Karolinska Development, LLD Nybohov Invest, and Fredrik and Ann-Helene Ljungström.
Whiffle, a Netherlands-based weather forecasting spinout of TU Delft, secured €3m ($3.4m) in a funding round backed by Energiiq and Shift Invest yesterday. The company uses artificial intelligence and machine learning algorithms run on graphic processing units to produce localised weather forecasts.