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Zix is a leader in email security. Trusted by the nation`s most influential institutions in healthcare, finance and government, Zix delivers a superior experience and easy-to-use solutions for email encryption and data loss prevention, advanced threat protection, archiving and bring your own device (BYOD) mobile security. Focusing on the protection of business communication, Zix enables its customers to better secure data and meet compliance needs. More than 19,000 organizations use Zix solutions, including all U.S. Federal Financial Institutions Examination Council (FFIEC) regulators, divisions of the U.S. Treasury, the U.S. Securities and Exchange Commission, 30 percent of U.S. banks, over 1,200 U.S. hospitals and 30 percent of Blue Cross Blue Shield plans. In addition, Zix also partners with Cisco and Symantec to offer email encryption and is the exclusive technology provider behind Google Apps Message Encryption.
SIOS Technology Corp. makes software products that provide the insights and guidance IT managers need to manage and protect business critical applications in large, complex data centers. SIOS iQ is a machine learning analytics software that helps IT managers optimize performance, efficiency, reliability, and capacity utilization in virtualized environments. SIOS SAN and SANLess software is an essential part of any cluster solution that provides the flexibility to build Clusters Your Way™ to protect your choice of Windows or Linux environment in any configuration (or combination) of physical, virtual and cloud (public, private, and hybrid) without sacrificing performance or availability. Founded in 1999, SIOS Technology Corp. SIOS is headquartered in San Mateo, California, and has offices throughout the United States, United Kingdom and Japan.
Adroit Software Inc is a Shrewsbury, MA-based company in the Software and Internet sector.
Onepass Software is a Wht Sphr Spgs, WV-based company in the Software and Internet sector.
Comet is a meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world applications by streamlining and connecting the machine learning model lifecycle.