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Shmorhay Infotech is a San Diego, CA-based company in the Computers and Electronics sector.
Infoworks`s mission is to automate Data Warehousing. Infoworks applies machine intelligence to automate Data Warehousing and significantly reduces the need for IT resources. Infoworks Data Warehouse is built on Hadoop, available on premise and in the cloud. Infoworks is the only solution providing complete functionality from data Ingestion, data Synchronization and the building of data models and cubes in a single platform eliminating the need to integrate disparate point solutions. Through an automated end-to-end platform, Infoworks dramatically reduces the time to analytics insights from months to days.
MISSION FIRST TECHNOLOGIES is a Marshall, VA-based company in the Computers and Electronics sector.
RTL Networks, Inc. is a Denver, CO-based company in the Computers and Electronics sector.
Cadrillion is primarily focused on majority control transactions, but has a high degree of flexibility on economic interests retained by selling shareholders. We seek high quality companies led by motivated and skilled executives who desire to own and run their business and understand the benefits an experienced operational and financial partner can bring. We have successfully executed this strategy in our prior companies, across different sectors, including data analytics, marketing program management, and healthcare services, among others. Our portfolio companies tend to reflect the following characteristics: Value added service businesses, with high barriers to competitive entry, in technology, business, energy or healthcare industries Proven growth, either organically or through acquisitions Predictable, recurring revenues, such as subscription businesses with high customer retention rates High operating leverage, enabling moderate increases in company revenues to yield even greater increases in operating profit Opportunity to significantly increase profitability through revenue growth, expense consolidation, add-on acquisitions, or achieving scale efficiencies