We empower our customers by turning complex machine data into clear analytical insights

The number of signals coming from connected machines in the IoT market have surpassed the ability for humans to keep track of them years ago. I am excited to see Glassbeam, as a supporting member of D3 Center, taking a leadership role in leveraging artificial intelligence to change the rules of the game for the healthcare market.

– Lise Getoor, Professor of Computer Science and Center Director of D3 (Data, Discovery and Decisions) initiative at University of California, Santa Cruz

Glassbeam's cloud-based solution will provide our service engineers real-time dashboards, alerts, and alarms on the health of the equipment they support. We are excited to be partnering with Glassbeam on this journey and expanding our solution coverage to include other imaging modalities in 2018.

– Corey Holtman, President at Gateway Diagnostic Imaging

I admire Glassbeam’s unique solution approach in providing significant value add in the area of machine data analytics. With enhanced machine learning solutions, Glassbeam now unlocks years of machine log data, combined with other corporate data. We are eager to watch Glassbeam’s platform continue to evolve for IoT, and look forward to taking advantage of advanced machine learning and new predictive analytics capabilities in Glassbeam SCALAR.

– Ebrahim Abbasi, Senior Vice President of Operations, Violin Memory, Inc.

Intelligent distributed energy resources (DER) and IoT devices are transforming today’s grid into smart grid. Analysis of the intelligence at the grid edge with Glassbeam Edge™ is both efficient and cheaper as you save unnecessary round-trips to the server, bringing immense benefits to smart grid operators.

– Vipul Gore, CEO of Gridscape

Glassbeam’s machine log analytics solution not only helps our support team become more proactive at solving escalations but has also helped us automate knowledge base of known issues for internal support group efficiency. With their expanded Support solution, Glassbeam’s solution is well positioned to deliver more value to us as we scale our operations and strive to put more automation in our support workflow.

– Nicola Buckely, Senior Director, Global Customer Service, Dell EMC

Analytics and machine learning in the IoT world have a significant dependency on data transformation and preparation especially when dealing with unstructured machine log data. This problem gets more compounded when you have to combine unstructured log data with its varying complex formats with structured data sources to create richer data sets for deeper analysis. We believe Glassbeam has created a valuable footprint in this space and GB studio is another proof of their mission to simplify IoT analytics implementation life cycles

– Ryan Caplan, President and GM of Analytics at PTC

Dimension Data’s cloud business is on a rapid growth trajectory and we plan to quadruple our data center business by 2018. To support this growth we need to partner with big data analytics experts who can help us analyze log data to manage and optimize our multiple global data center operations. I am pleased to announce the partnership with Glassbeam to help us successfully manage this growth.

– Steve Nola, Group Executive of Dimension Data’s ITaaS Business Unit

Machine connectivity and analytics is an important design element at VytronUS. Having a well-integrated end-to-end solution for meeting this goal from ThingWorx and Glassbeam will make our job much easier in the future. It will greatly enhance our ability to get timely, accurate and insightful analytics from our machines in the installed base.

– VP of Product Management

Glassbeam's platform empowers business users to utilize machine log analytics without requiring deep technical expertise.

– VP of Product Management