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Radiant Logic, the enterprise Identity Data Fabric company, provides the cornerstone of complex identity architectures in today`s digital world. With Radiant, it`s fast and easy to put identity data to work, connecting many disparate data sources across legacy and cloud infrastructures in real-time, without disruption. Our solution creates a solid identity foundation that speeds the success of initiatives, including single sign-on, M&A integrations, identity governance and administration, cloud directory deployments, hybrid and multi-cloud environments, customer identity and access management, and more. From the Fortune 1000 to government agencies, organizations across the globe rely on Radiant to deliver meaningfully faster time-to-value and unprecedented IT agility, while building a secure, future-proof identity infrastructure that meets real-world business demands. Both the company and the technology at Radiant Logic have received numerous accolades including Gartner Cool Vendor, Windows IT Pro Editors Best, Info Security Products Guide Global Excellence Gold, and Computerworld`s Best Places to work in IT. Radiant Logic, Inc. is headquartered in Novato, CA with offices in New York, Chicago, D.C., and Barcelona and distribution channels throughout the world.
Entic’s proprietary, cloud-based technology enables building systems to achieve peak performance using advanced analytics and data science. Its solutions identify inefficiencies and actionable insights to optimize building energy efficiency and reduce costs by up to 40 percent in large commercial buildings. The company provides owners and vendor teams with real-time intelligence to maximize sustainability and better manage their investment. Entic’s Peak Performance EcosystemTM is revolutionizing energy savings in hospitals, office buildings, hotels, airports, sports arenas and schools.In addition, Entic users enjoy live dashboards and advanced analytics to calculate annual energy savings, measure achievable peak performance, monitor their plant’s health and efficiency and detect issues immediately. Entic’s technology helps organizations take advantage of available tax credits, carbon credits, LEED credits and other fiscal and environmental incentives. Further, it improves resource efficiency through increased visibility and provides a significant boost to energy conservation and sustainability initiatives. In basic terms, Entic’s cloud based analytics coupled with its proprietary line of sensors and integration into the existing BMS/EMS provide a pure OpEx model for building operations to identify inefficiencies and energy waste. Today’s BMS/EMS systems are outdated, sit on desktops or serves locally and are typically too costly to upgrade or commission. Entic’s subscription service model enables users to have access to this information without the burden of capital costs for upgrades or equipment needed. Additionally, Entic offers, included within any monthly subscription, a comprehensive line of proprietary sensors and meters used to ensure complete triangulation of all data points found in typical Building Management (BMS), Lighting Management, or Water Management Systems.
Provance is a Gatineau, QC-based company in the Software & Internet sector.
Marathon Technologies is a Littleton, MA-based company in the Software & Internet sector.
Landing AI™ is pioneering the next era of AI in which companies with even limited data sets can realize the business and operational value of AI and move AI projects from proof-of-concept to full scale production. Guided by a data-centric AI approach, Landing AI`s flagship product is LandingLens™, an enterprise MLOps platform that offers to build, iterate and operationalize AI powered visual inspection solutions for manufacturers. With data quality being key to the success of production AI systems, LandingLens™ enables users to achieve optimal data accuracy and consistency. Founded by Dr. Andrew Ng, co-founder of Coursera, former chief scientist of Baidu, and founding lead of Google Brain, Landing AI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.