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The Netography Network Detection and Response is a SaaS offering that ingests metadata, detects & automatically remediates threats in real-time.
Dexon Computer, Inc. is a Minneapolis, MN-based company in the Computers and Electronics sector.
Your company`s most valuable asset is your customer relationships. Delivering high-quality service fortifies these relationships. BLM Technologies exists to help you successfully serve your customers. For more than 25 years, our comprehensive information technology expertise has provided financial, retail and government entities with cost-effective solutions that streamline service delivery and ensure customer satisfaction. BLM is your experienced, single-source provider for: Equipment sourcing Unbiased recommendations Complete digital signage solutions Hardware sales Equipment installation Customized maintenance services for onsite and depot repair Fulfillment services Asset disposal and recycling services Project management IT staffing
Exela is a business process automation (BPA) leader, leveraging a global footprint and proprietary technology to provide digital transformation solutions enhancing quality, productivity, and end-user experience. With decades of expertise operating mission-critical processes, Exela serves a growing roster of more than 4,000 customers throughout 50 countries, including over 60% of the Fortune ® 100. With foundational technologies spanning information management, workflow automation, and integrated communications, Exela`s software and services include multi-industry department solution suites addressing finance, accounting, human capital management, and legal management, as well as industry-specific solutions for banking, healthcare, insurance, and public sectors. Through cloud-enabled platforms, built on a configurable stack of automation modules, and over 17,500 employees operating in 23 countries, Exela rapidly deploys integrated technology and operations as an end-to-end digital journey partner.
Arundo Analytics` proprietary technology for asset-intensive industries uses big data and machine learning techniques to analyze your assets` data in order to predict likely failures and improve your operations.