Aerospace Xelerated announces the AI and Autonomy startups in its 3rd cohort
by Startacus Admin
10 innovative startups on a mission to solve some of the aerospace industry's key challenges are announced as participants in the next Aerospace Xelerated programme.
It’s a fantastic start to the week for the ten innovative startups that have just been announced by Aerospace Xelerated as participants in its third cohort. The programme, led by industry partner Boeing, has selected a range of AI and autonomous technology startups that cover the programme’s key focuses; assured autonomy, autonomous navigation, adaptive learning, generative design, smart maintenance and reduced workload.
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Nichola Bates, Managing Partner at Aerospace Xelerated and Head of Global Accelerators and Innovation Programs at Boeing commented, “We’re incredibly excited to welcome our new cohort who are using groundbreaking technologies to solve some incredibly complex problems for the aerospace industry. From making it easier and efficient to gather complex data for aircraft maintenance teams to building the technology to enable unmanned flight, we can’t wait to see what comes out of the 12 weeks ahead.”
Cohort three will benefit from an optional £100K equity investment from Boeing, introductions to a network of angels, venture capitalists and the wider aerospace industry, and over £100K in programme perks from partners including startup providers Amazon, HubSpot, SeedLegals and many more. Alongside Boeing, programme partners GKN Aerospace and the Ministry of Defence’s Defence and Security Accelerator (DASA), will also provide the cohort with industry insights and expertise.
In addition, the participating startups will have access to strategists and technical experts to support with the development of proof of concept opportunities and receive mentoring from a global network of experienced entrepreneurs, mentors and investors.
The cohort includes:
Derby-based Amygda - a data observability platform for smart maintenance in high-value asset industries to reduce unnecessary maintenance and increase the reliability and sustainability of assets.
Dublin-based The Airline Pilot Club - a digital talent marketplace using AI and behavioural science to break down barriers to entry and improve quality standards in the pilot selection, training and recruitment process.
Axion - an AI-powered proactive management platform for engineering and quality leaders to accelerate development.
Flare Bright - a machine-learning company from Aylesbury which enables drone manufacturers to build digital twins to rapidly speed up the long test and evaluation process, running many times faster than real-time to optimise for more confident real-world tests.
Melbourne-based LexX Technologies which uses AI, machine learning and natural language processing to empower aircraft maintenance technicians to bring their data, knowledge, and experience together in one efficient and intelligent solution.
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US-based Neurobotx - the first neuromorphic AI platform for autonomous navigation, capable of one-microsecond obstacle detection and decision making based on big data, inspired by energy-efficient brain navigation.
Pegasus Imagery from Canada which develops autonomous aircraft and sensor systems to connect industry and government end-users with on-demand aerial imagery to solve challenges at scale.
Sees.ai from Chichester & London which is building the most advanced connected, autonomous command and control solution to enable safe and scalable unmanned flight in even the most challenging circumstances.
South Wales-based Seidr - a virtual learning and testing environment for crisis situations. Using immersive technology to generate novel conditions in safe-to-fail environments, so that plans and learning can be validated within evolving situations.
TOffeeAM - a SaaS company from London providing an integrated cloud-based solution for advanced manufacturing.
The two previous cohorts have gone on to raise over £50M in additional funding and create more than 100 jobs across the UK. Best of luck to all the participants in Cohort 3. We expect we’ll be hearing lots more good news about them soon!
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Published on: 14th January 2022
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