A hospital workforce AI platform, Navenio, a spin-out of Oxford University has raised £9m in series A funding.
The company provides a location-based workforce platform, which can be used to assign tasks to healthcare teams based on their location. Termed Uber for Healthcare, the technology tracks smartphone devices to provide an indoor location solution.
Navenio has grown to team of more than 60 people since its launch in 2015 and works with 13 NHS organisations. One example of its technology in use, could be to locate the closest cleaner if a ward room needed to be urgently sterilised.
The technology uses pedestrian dead reckoning (PDR) that uses smartphone sensors, such as accelerometers and magnetometers, to understand movements and locations, tracked on a map or floorplan.
Philea Chim, Senior Vice President at QBN Capital who led the raise “We’re delighted to lead this funding and be closely involved with Navenio’s mission to help frontline teams. Navenio’s technology has the potential to transform the way that organisations deal with tasks across the board for the better, which is especially important during the long-lasting disruption caused by Covid-19.”
Dr Harpreet Sood, former Associate Chief Clinical Information Officer at NHS England, commented “It’s a bit like an Uber for indoors, given the ability to connect frontline teams with the resources they need as quickly as humanly possible.”
Tim Weil, CEO of Navenio, added “Our technology is all about giving hospitals the oversight needed to allocate frontline teams the tasks they are best suited to carry out, in a safe and secure manner – this is critical both for right now, and for the huge patient flow challenge that will be faced as hospitals re-open for business as usual.”
“We’re delighted to have closed this recent funding round during such a disruptive period; It will help us increase the scope of our offering here in the UK, as well as US and Asia where we have a number of evolving partnerships, and continue to drive new efficiencies for everyone, everywhere.”
