Flare Bright
Kelvin Hamilton started their work experience in 1988 as an Electronics Technician/Engineer at Emerson Control Techniques. Kelvin then worked at SeeByte from 2001 to 2007 as a Development Manager for Embedded Systems. From 2008 to 2010, they served as a Systems Engineering Manager at GO Science. Kelvin Hamilton joined SeeByte again in 2010 as an Engineering Manager until 2014. Finally, they became the CEO of Flare Bright in 2015.
Kelvin Hamilton completed their Bachelor of Engineering (Hons) degree in Electrical & Electronic Engineering from Cardiff University / Prifysgol Caerdydd in the years 1995 to 1998. Kelvin then pursued further education at Heriot-Watt University, where they obtained a Ph.D. in Underwater Robotics from 1998 to 2001.
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Flare Bright
Flare Bright is a global-leading machine learning digital twin company. We model different types of unmanned aircraft in our digital twin environment and use machine learning to solve sensing, navigation, control and optimisation problems. This enables unique capabilities for drones such as flying accurately in GNSS-denied areas, in-flight wind sensing, regulatory and safety case assurance and for test and evaluation purposes. We can utilise existing data off any drone’s sensor suite, or add our own on a credit-card sized board.