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Here at Kitty Hawk, where a century of aviation practices meets technology breakthroughs and a world-class engineering team, things are looking up. In 1903, the Wright brothers took flight for the first time from the beaches of Kitty Hawk, North Carolina. Our journey started by designing, testing and building all-electric vertical take-off and landing products for work and play. Today, in California, we are building on the Wright Brothers` legacy to create the next generation of vehicles for everyday flight.
Max-Viz is one of the leading companies in the Manufacturing sector.
Uniglobe Aerospace is a Irvine, CA-based company in the Manufacturing sector.
Certified Thermoplastics Co. Inc is a Santa Clarita, CA-based company in the Manufacturing sector.
Aperio Global delivers innovation, interoperability, and integration across cyber operations, artificial intelligence/machine learning (AI/ML), cloud services, and software development capabilities. We enable mission leaders within the DoD and the IC to achieve strategic, operational, and tactical objectives. We converge technology and expertise to improve, maintain and secure decision-making ability and ultimately, information and decision advantage. Our innovative solutions derive from successful past performance in full-spectrum cyber operations, AI/ML, data analytics, cloud architecture, and enterprise system development supporting the intelligence community. We support critical missions across National Security, Department of Defense (i.e., Combatant Commands), and Federal Government customers. Integrating our unique experience across Data, Human, Technical and modernization provides customers with interoperability frameworks essential to building and deploying core foundational technologies. Additionally, we offer our patented AI-based tool, Remote Unsupervised Sentinel (RUSSEL) capability. RUSSEL is a data analytic tool that automates the cleaning, preprocessing, and understanding of big data sets. It provides customers with a machine-learning model for prediction and recommendation and a noise-reduced data output. The results immediately reduce big data analysis`s costs, time, and efforts while significantly increasing the resulting accuracy and enabling Decision Advantage.