It has been a productive and exciting start to the year here at Glassbeam, with a number of Q1 new wins and renewals from existing customers.
A new customer, UCSF will be using Glassbeam to analyze machine data for its MRI and Scanner fleet. We are excited to welcome two new healthcare ISO additions, Browns Medical and Radiographic Equipment Services (RES). Lastly, Kodak Alaris signed off on a paid pilot to apply Glassbeam’s predictive analytics solution to their platform. We signed renewals with Novant Health and Dimension Data.
In February, we introduced the first Glassbeam Artificial Intelligence application powered by Machine Learning models. This application is used for predicting machine part failures in expensive medical imaging equipment, allowing healthcare providers to deliver better and more efficient healthcare, and save millions of dollars in operational costs. With its previous deployment success at Novant Health, the team successfully expanded it's Clinical Engineering Analytics (CLEAN) Blueprint to include machine data from Mobile Imaging machines such as MRI and CT Scanners.
In Q1, we also announced the enhancement of Glassbeam’s industrial IoT analytics platform to include open-source stream processing model with Apache Kafka. This processing model allows organizations the freedom to develop and deploy custom machine data analytics applications without the need to lock in their data with Glassbeam.
In Q4 of last year, the core platform team tested the limits of scalability of the Glassbeam platform. We found the results from this test to be very insightful and we are ready to share the scalability report under NDA with our strategic partners. Make sure to check out our two series blogs for more insight into the scalability of the Glassbeam platform.
We are confident that Q2 will bring even more exciting news; stay tuned for upcoming announcements and developments!