Glassbeam has innovated a simplified approach to a complex IoT big data problem by inventing a patentable language called SPL (Semiotic Parsing Language). SPL drives a 10x efficiency in the data transformation process by allowing a solutions engineer to perform the same work in a week or less as is done in 6 months by a team of database and system engineers. The company has filed patent applications in this area. Besides SPL, Glassbeam has invented a real time streaming platform called SCALAR, that can convert complex machine logs into actionable output using a complex rules engine, machine learning Apache Spark, and the latest innovation with a tool called Glassbeam Studio that allows rapid data modeling on complex log files. Core platform is coded in SCALA with a backend data store in Cassandra & Solr Cloud, all tightly engineered for hyper scalability, multitenancy, and security.
Uses Glassbeam’s CLEAN™ (Clinical Engineering Analytics) blueprint for connecting systems from all key manufacturers including GE, Siemens, and Philips. Data is collected on 30+ key readings including cryogen levels, cold head temperature, magnet pressure and scan counts, aborts, and arcs for MRI and CT modalities, respectively.
Real-time Environmentals Monitoring
Provides dashboard and/or alerts to monitor Compressor Power, Room temp/humidity, and Chiller water temp In/Out. Additional sensors could be added based on customer needs especially to monitor mobile units in remote locations.
Glassbeam Overview Brochure
Glassbeam Overview For Healthcare Brochure
Glassbeam Utilization Analytics Brochure
Glassbeam For CT-MRI Brochure
Glassbeam For Ultrasound Brochure
Glassbeam Case Study Brochure