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.

Drones

Consulting

Software

AI/ML

Computer Vision

Security

Archangel Imaging

Archangel Imaging's headquarters in London, United Kingdom

Daniel S.

Charles Smith

Trang Tran

The Engineering Team at Archangel Imaging is responsible for developing and integrating advanced artificial intelligence (AI) and machine learning (ML) technologies into the company's hardware and software solutions. Team members focus on creating resilient and autonomous systems like the Xnaut AI co-pilots and Argonaut smart cameras, which can operate independently in challenging environments without relying on human attention or vulnerable infrastructure. They work collaboratively to enhance navigation accuracy, improve machine learning algorithms, develop simulation models, and optimize computer vision systems, ensuring seamless human-machine teaming for real-time remote monitoring and mission management.

Engineering Team

The Leadership Team at Archangel Imaging is responsible for setting the strategic direction and overall vision of the company. They ensure effective operational management, commercial growth, and technological innovation aligned with the company's mission to support users in challenging environments. This team also oversees international operations and integrates advanced AI solutions into real-world applications, ensuring the seamless functionality of hybrid human-machine teams. They make critical decisions to maintain the company's resilience and competitiveness in both the UK and US markets.

Archangel Imaging

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Teams

Engineering Team

Leadership Team

Offices

Archangel Imaging

Org chart

Teams

Engineering Team

Leadership Team

Offices

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