Nanox raised $165 million in Nasdaq IPO
24 August, 2020
Nanox has developed a Digital CT scanner that can be produced at a low cost of only $10,000. Developed a business model based on Pay-per-Scan service
Nanox, the developer Digital CT devices and cloud-based diagnostic services from Jerusalem, has raised $165 million at NASDAQ IPO. Nanox issued 9.1 milion shares at a price of $18 per share. At its debut trading day, last Friday, its stock (Tickr: NNOX) jumped 20%. Nanox has developed a Digital Computed Tomography technology based on the production of X-rays using a MEMS instead of an incandescent lamp.
The company’s estimates its technology allows for the production of CT systems at a cost of $10,000 each, instead of approximately $3 million – the current average price of CT scanners. CT scanners perform multiple X-rays from different angles. A computer program is used to fuse all these images into a single three-dimensional file that allows the exploration of the body and its organs.
Pay per Scan
The development was carried out by a team of Israeli engineers and a team of Japanese engineers. The company is headed by the founder Ran Polyakin, former founder and CEO of the wireless charging Powermat. In additional to the lower price and size, Digital CT devices provide higher quality images, and having fewer errors resulting from relative movement between the scanner and the subject.
Also, they enable multi-spectral imaging, and real-time connectivity between the imaging system and the therapeutic devices, thus allows treatment to be performed under CT examination. The first commercial system, Nanox.ARC, comes with a cloud platform consists of AI-based assistive diagnostic tools and friendly user interface for the doctor.
The company markets the systems through collaborations with governments and health service organizations, and has signed distribution agreements in 13 countries. Nanox plans to offer the use of its systems in the format of a service: payment is determined according to the number of scans (Pay-per-Scan), thereby reducing the costs of acquisition.