Asimily, a leading provider of Internet of Medical Things (IoMT) risk management platform, announced that its IoMT platform was awarded a 2021 Stratus Award by The Business Intelligence Group for outstanding achievement in cloud computing. This honor recognizes companies, products and people that are offering unique solutions that take advantage of cloud technologies.
Asimily’s IoMT risk remediation platform holistically secures the mission-critical health care devices that deliver safe and reliable care. With the largest knowledge base of connected and stand-alone medical devices and protocols, vulnerability research and manufacturer capability documents, the Asimily platform is helping health care organizations keep their patients safe and IT assets secure.
“Now more than ever, it is critical that health care organizations embrace IoMT cloud technologies to keep their connected and non-connected devices safe,” Asimily CEO Shankar Somasundaram said. “We are proud to take home a Stratus Award for Cloud Computing in the IoT category and will continue to bring innovation to the IoT space.”
“Asimily is at the forefront of the cloud, helping to drive practical innovations in the cloud with comprehensive medical device management to reduce device downtime and maximize operational efficiency,” said Maria Jimenez, chief nominations officer of Business Intelligence Group. “The cloud is now part of the fabric of our personal and professional lives and we are thrilled that our volunteer judges were able to help promote all of these innovative services, organizations and executives.”
In addition to the Stratus Award, Asimily was named one of Data Magazine’s 101 Most Innovative Data Visualization Startups & Companies in California. This list recognizes startups and companies that are taking a variety of approaches to innovating the Data Visualization industry. Asimily provides data analysis and visualization that enables different views of devices and their environment to provide continuous data-driven insights with actionable recommendations across devices and vendors.
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