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Visus Technology, Inc. was founded for the purpose of integrating and developing solutions to improve the quality of life for people with a wide range of vision impairment, from mild loss of vision to no light perception or complete blindness. We wanted to make it easy for the visually impaired to participate fully in day-to-day activities without the need for multiple devices. We saw no reason why it should be necessary to have one device for reading books, another for identifying objects, a third for socializing, a fourth for navigating, and so on. With these concerns in mind, we set as our goal the development of an integrated suite of software solutions to assist visually impaired people with communication and everyday needs. Visus Technology, Inc.’s brand values are closely intertwined with the primary product, the VelaSense® application suite, which is designed to enhance the lives of people who have various levels of visual impairment. We believe in independence, connectedness, sociability and full participation, and we are forward-thinking. Along with our product comes hope and promise for the future. At Visus Technology, Inc., our mission is simply to continue to improve the lives of people in the United States, and eventually worldwide, through continuing research and technological development. We envision a future where, through the creation of increasingly revolutionary life management solutions, there will be no barriers.
The Genusys Group is a Annandale, NJ-based company in the Computers and Electronics sector.
Regan Technologies Corporation is a Wallingford, CT-based company in the Computers and Electronics sector.
Ebix is a leading international supplier of software and e-commerce solutions to the insurance industry. Ebix provides a series of application software products for the insurance industry ranging from carrier systems, agency systems and exchanges to custom software development for all entities involved in the insurance and financial industries. Ebix powers businesses in more than 50 countries across six continents. The Company has its headquarters in Atlanta (GA), and has domestic operations in Los Angeles (CA), San Diego (CA), Walnut Creek (CA), Hemet (CA), Pittsburgh (PA), Miami (FL), Park City (UT), Herndon (VA), Columbus (OH), Dallas (TX) and Portland (MI). The Company also has offices in seven other countries – Australia, New Zealand, Singapore, China, Japan, Canada and India. Our vast customer base includes over 100 Insurance companies, TPAs, Banks, Financial Advisors and more than 300,000 Brokers/Agents, in addition to more than 1000 corporate clients. This includes an impressive blue-chip account base consisting some of the world`s largest and most respected insurance companies as well as a large community of insurance professionals. Targeting a nearly sixty billion-dollar market segment in US alone, Ebix has ample growth opportunities simply by leveraging its existing customer base and outstanding reputation for high-quality services.
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.