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Syntellis Performance Solutions, previously Kaufman Hall Software, provides innovative enterprise performance management software, data and analytics solutions for healthcare, higher education and financial institutions. Syntellis solutions include Axiom and Connected Analytics software, which help finance professionals elevate performance by acquiring insights, accelerating decisions and advancing their business plans. With over 2,800 organizations and 450,000 users relying on our solutions, we have proven industry expertise in helping organizations transform their vision into reality.
Agilex is an employee-owned provider of mission and technology solutions to the national security, healthcare and public sectors. Headquartered in Chantilly, Virginia, Agilex serves a majority of the Cabinet-level federal departments, including the Departments of Defense, Health & Human Services, Homeland Security, Justice and Veterans Affairs; members of the Intelligence Community; and a number of independent agencies, such as Amtrak and the United States Postal Service. By bringing together Agility with Expertise, Agilex helps clients Realize the Value of Information. Agilex was named the 2012 Government Contracting Firm of the Year by the Technology Council of Maryland; the 2011 Greater Washington Government Contractor of the Year in the $25-75M category; and as the Northern Virginia Technology Council’s 2010 Hottest Emerging Government Contractor for the Washington, DC region. The company is also a recipient of a 2011 National Capital Business Ethics Award, which recognizes local companies for their sustained, executive-level commitment to promoting and maintaining an ethical business culture. Agilex was named one of Virginia’s Fantastic 50 fastest growing companies in 2012 and 2013.
Empirix is the recognized leader in delivering end-to-end network performance visibility, empowering our clients to improve business performance through solutions that enable you to proactively preempt problems by predicting the customer communication experience. We enable organizations worldwide to accelerate the development, deployment and profitable operations of new, fluid, and complex communications by validating the quality of user experience and overall performance of networks and applications. Since 1992, the world’s largest Telecommunication and Service Providers, as well as IT and Enterprises have known that they can trust us to offer the clarity they require to understand and even forecast the customer experience. Empirix has deep knowledge about complex customer communication technologies – voice, video, mobile, web, fax, IM, presence, unified communications, IP technologies, VoIP, IMS, NGN, and more. We supply a single, integrated architecture that enables data sourcing, collection, aggregation, analysis, information generation, and presentation to work together in harmony. Our commitment to quality in everything we do sets the standard for the industry.
Corporate Adventure is a Reston, VA-based company in the Computers and Electronics sector.
Lattice is a data intelligence company transforming “Dark Data”, such as unstructured text, into high quality structured data for use by traditional data analysis tools. Lattice was founded by Chris Re (Stanford, MacArthur Genius Award winner) and Mike Cafarella (co-creator of Hadoop). Lattice is commercializing DeepDive, which was developed at Stanford by our founder Chris Re for over 6 years with $20M in funding from DARPA and others. Our product has already been successfully deployed in the fight against human trafficking (as featured on CBS News 60 Minutes) as part of the DARPA/Memex project. Our platform reads unstructured media and converts it into structured data that can be used by traditional data analysis tools. We use advanced machine learning techniques, coupled with a rigorous engineering approach, to outperform human readers in many fields including scientific, insurance and government applications. We’re hiring! Please check out our engineering jobs at https://jobs.lever.co/lattice to learn more. We are looking for people excited to learn more about machine learning, be part of the initial team in a startup environment and wanting to work hard to solve really interesting and important real world problems.