Name | Title | Contact Details |
---|---|---|
Kevin Keenahan |
Interim Chief Technology Officer | Profile |
Kevin Keenahan |
Interim Chief Technology Officer and Chief Product Officer | Profile |
Gabe Hesse |
Chief Technology Officer | Profile |
Jason James |
Chief Information Officer | Profile |
Gehtsoft USA is a Paramus, NJ-based company in the Software and Internet sector.
Armored Things is a Boston-based startup using artificial intelligence to transform data into valuable safety insights. We equip security personnel with the tools, information, and insights they need to keep our communities safe.
At Tetherex, we are committed to advancing the understanding of inflammation in various disease processes and developing novel products to treat inflammatory diseases, thrombosis and cancer. Our mission is focused on helping patients who suffer these afflictions enjoy better and longer lives. Our pioneering work on the molecular mechanisms of inflammation has led to breakthroughs in novel therapeutic candidates for inflammatory and thrombotic diseases and positioned Tetherex with strong scientific underpinnings. Our employees are committed to the highest standards of integrity and excellence in medical research.
Blue Lava manages the business of security. Built by a team of tenured security operators, Blue Lava is the industry`s first security program management platform, guiding CISOs to measure, optimize, and communicate their program with confidence and ease. Blue Lava has built long-term relationships with customers, earning the trust of executive teams across various industries, from small businesses to global enterprises.
Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon Web Services, Microsoft and Google Clouds. We were started by the team that built and ran Facebook`s Data Service when they founded and authored Apache Hive. With Qubole, a data scientist can now spin up hundreds of clusters on their public cloud of choice and begin creating ad hoc and/or batch queries in under five minutes and have the system autoscale to the optimal compute levels as needed.