Glassbeam was launched in 2014 with the mission of "helping product companies make sense of complex machine data collected from connected devices.” It was during the early days of machine data analytics and the Internet of Things (IoT) was still in an emergent trend. Glassbeam’s founding team had come from diverse and experienced backgrounds—from working with leading storage networking companies such as NetApp and Brocade to uncovering the untapped potential of call-home and phone-home log data. The team firmly believed that any high technology machine, system, or device—whether located in a data center or in the field, such as storage, servers, MRI, CT Scan, CNC machines, and industrial robots—would become increasingly connected to their manufacturer's home base. These complex logs, if parsed and analyzed effectively, would have immense business and operational value for support, services, engineering, sales, and marketing groups of organizations.
Glassbeam was born with this objective: To create a generic cloud-based platform that could ingest, parse, structure, and analyze complex machine data and provide cross-functional application and use cases for end-users within the expanding ecosystem of a product manufacturer.