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MakePlain Corporation is a Toronto, ON-based company in the Software and Internet sector.
For small businesses and sole proprietorships in need of fast and accurate document reduction and spending management solutions, The Neat Company provides a cloud-based expense data and document consolidation, retention and processing platform that saves time and money while enabling collaboration with competitive insight. Established in 2002, The Neat Company focused on simplifying the tasks of reducing paper clutter and receipt scanning, document digitization, and data entry through award-winning document scanning products. Our evolution has brought The Neat Company into a broader scope with a focus on developing small business software solutions that address a wider set of needs in the ever-changing small business environment. The Neat software platform provides small businesses, particularly those with a high volume of monthly expense transactions with the need to streamline the storage and organization of all business documentation, with the ability to quickly enter or import and convert document images into a digital data format. Neat helps organize and categorize the data and satisfy business reporting needs related to accounting and taxes. Neat is also a valuable solution for document retention for audit preparedness, provides the ability to create and leverage a variety of spending report and analysis tools, and offers integrations with contact management and marketing automation tools.
Genus Technologies LLC is a Minneapolis, MN-based company in the Software and Internet sector.
Family Pet Quarters is a Kewanee, IL-based company in the Software and Internet sector.
Cohesity delivers the industry`s first hyperconverged secondary storage system for consolidating backup, test/dev, file services, and analytic data, onto an infinitely scalable, intelligent data platform, that spans both on-premises data centers and the cloud. With Cohesity, IT organizations radically simplify their storage infrastructure, improve control of their data, and attain far greater operational efficiency across their ever-growing data assets.