New regional HQ for Asia reflects business growth and commitment to Singapore as an innovation hub. This new innovation and engineering facility triples the company’s capacity in Singapore.
Workshop report outlines a vision for the surgical navigation ecosystem of 2030
Announcing DeepRay™, a ground-breaking AI technology that creates clear views of the real-world from a damaged or obscured moving image. DeepRay could transform numerous applications, from autonomous driving to medical imaging.
We advised the UK private equity firm during its management buyout of Arkessa, the IoT managed services provider. Following a thorough technical analysis the investment was completed during summer 2018.
Verum remotely monitors patients and provides AI-powered predictions around medical conditions. Verum can unlock efficiencies in clinical trials by eliminating the effect of stress.
‘Leap’ is a watershed moment for intravascular surgery: a single-use, high-definition miniature camera that allows a digital view inside veins and arteries for the first time.
Data storage consumes cities worth of power and soon won’t meet our data storage needs. We’re building a machine that will use DNA data storage to put the information content of entire data centers into the palm of your hand.
We’ve partnered with accesso Technology Group to develop a smart wearable for theme park guests. The device means visitors don’t need to carry cash, keys, or queue for attractions.
BlueStack™ launches today, a dual-mode Bluetooth software stack with a unique commercial model. We provide the IP for a one-time fee, creating a customizable platform for connected audio products.
BeeBee Wraps has developed a beeswax food wrap, a sustainable alternative to single-use plastics. We’ve transformed their business with a process that accelerates production by a factor of 30.
Cambridge Consultants has partnered with Exact Imaging as the two companies work to improve the way prostate cancer is visualized and detected. Early results show real promise.
AquaML combines machine learning with a single, low-cost sensor. It differentiates between different water-using devices used throughout a building, unlocking new insights and helping utilities to plan for future demand.