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Introhive is a relationship data science platform for CRM that helps drive user adoption and consumption of CRM data. The software reduces the number of clicks that end users need to make in order to have the system work for them while helping to maintain clean and accurate data within the system. The Introhive platform puts a focus on email and mobility in order to enable end users to use CRM where they work the most while supporting their fast paced environments. * Data Entry – Introhive simplifies how users use CRM through automation, by reducing the number of clicks they have to make in order to log new contacts, activities and call reports. * Data Extraction - Introhive will proactively send pre-meeting digests to help people prepare for their meetings. These digests can be customized for the organization and typically include meeting attendee profiles, current news/financials, holdings information, as well as CRM and relationship data. * Relationship Mapping - Introhive puts the context of relationships behind contacts in CRM, helping the organization to understand “who knows who” between their employees and the outside world. This helps relationship managers put data science behind key contacts in order to drive revenue, build coverage models, and increase client retention. Introhive is a venture-funded company with investors that include Build Ventures, GAP CIT, Fortify, Growthworks, NBIF and Salesforce.com. The company was founded in 2012.
CoreVault is a Oklahoma City, OK-based company in the Software and Internet sector.
Waterwheel Software is a Los Altos, CA-based company in the Software and Internet sector.
Double Shot Security is a Seattle, WA-based company in the Software and Internet sector.
Primary Data transforms datacenter architectures by orchestrating the right data to the right place at the right time. Through data virtualization, the Primary Data DataSphere platform creates a global dataspace across direct-attached, network-attached, private and public cloud storage to deliver unprecedented manageability, performance, and efficiency. The storage-agnostic DataSphere platform features an intelligent Objective engine that automatically moves data across file, block, and object storage to meet evolving application requirements in real time.