Archangel Imaging
Daniel S. has a diverse work experience, starting with their role as a Traders Assistant at Morgan Stanley in 2005. Daniel then worked as a Soldier Systems Analyst at QinetiQ from 2005 to 2006. Following this, they became a Zephyr UAV Systems Engineer at QinetiQ from 2006 to 2010. In 2010, Daniel S. became the CEO of Archangel Aerospace Ltd, a specialist consultancy focusing on advanced unmanned systems. During their time there, they initiated the development of two new companies, Archangel Imaging and Archangel Lightworks. In 2017, they joined Archangel Lightworks as the President. From 2018 to 2020, they served as the President at Archangel Imaging before becoming the Chief Executive Officer in April 2020. Daniel S. has significant experience in AI solutions, oil & gas, wildlife protection, and security & safety applications.
Daniel S. began their education at the University of Oxford from 2000 to 2004, where they pursued a degree in Engineering Science with a specialization in Engineering. In 2005, they continued their educational journey at the University of Bath, completing a Postgraduate Certificate in Management with Distinction from 2005 to 2007. Daniel then took a break from formal education until 2017 when they attended the International Space University, earning a degree in Space Studies known as SSP. Most recently, in 2019, they briefly attended the Cambridge Judge Business School to pursue a program called Ignite, although the degree name is not specified.
Archangel Imaging
Archangel Imaging provides software and hardware options to make machines smart enough to become team mates you can trust to do their part, rather than tools you need to constantly manage. Veteran founded and owned we focus on supporting users in remote, exposed on challenging environments, including police, service personnel, first respondersand NGOs. We’re active in both the UK and US. Hybrid human-machine teams will be much more effective in protecting assets, people & planet at scale. For that to happen, we need our technology to be able to operate without depending on human attention or on vulnerable infrastructure. We specialise in advanced artificial intelligence (AI) for cameras and GNSS-denied navigation for manned and unmanned systems. Real time remote monitoring is difficult to achieve with people alone. The areas are often huge and distant, meaning hard-working maintenance, security or safety staff have poor coverage with long response times. Pipeline security, anti-poaching, asset integrity monitoring and border patrol are a few examples. Whilst we (humankind) have developed an impressive array of technologies, including drones and ground sensors, these remain tools to use at long range. These tools are dependent on: 1) human attention to make best use of them and 2) infrastructure to support them, with communications and positional information in particular. GPS has become increasingly easy to jam and to spoof. Not only that but the orbital infrastructure itself is at direct risk of vandalism.Archangel Imaging provides a complimentary solution stack to enable human-machine team work in the real world. These make machines smarter, more resilient in a changing situation and easier to work with in a human workflow. Xnaut AI co-pilots enable existing uncrewed drones, boats and rovers to make mission level navigation decisions based on live observed context. Designed to work when GPS is being spoofed or jammed, Xnaut GENIE Uniquely combines over 50 navigation methods to ensure reliable, resilient and accurate location data is provided to the system's autopilot. Argonaut smart cameras have been designed to operate independent of infrastructure. The camera and tower products are fully self-contained, with power, communications, sensors and compute. Cerebella human-machine teaming mission management software integrates diverse machines into people-centred geospatial workflows.