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Our passion to reshape the way people prospect through innovative uses of technology and data inspired us to launch Aidentified: a relationship intelligence platform using real-time wealth and management change events, relationship mapping and over 300 million professional and consumer profiles to help you be first to engage with top prospects and to monitor your customers. Imagine Google, Facebook, and Linkedin delivered through one platform.
Combining distributed data management software and advanced networking principles, Vexata is an active data infrastructure company, that accelerates database and analytic platforms. We address the demands of applications and transform data infrastructure to improve decisions today, power business on demand and simplify the path to the future.
Network Printing Inc is a Idaho Falls, ID-based company in the Computers and Electronics sector.
Network Insight is a San Diego, CA-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.