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Extend Robotics
£800k of revenue by using AI & VR to train factory robots
At a glance
Extend Robotics enables companies to:
Train robots to perform human-like tasks
Use extended reality technology to deploy and monitor these robots
Quick fire details
Headquarters: Reading
Employee count: 14
Business model: SaaS
Backed by: Digital Catapult
Funding amount: £1m (£500k committed)

The founder
CEO & Founder, Chang Liu: 12 years of experience building and studying robots across startups (Inkonova AB) and universities (Imperial College London and Southampton University)
The market
Oxford University estimates that 20 million manufacturing jobs will be completed by robots by 2028.
This has created a £22bn Market Opportunity in Europe.
This startup is solving two key problems:
Average UK factory spend £50m per year of human labour.
By 2028 2.4 million manufacturing jobs will be unfilled.
Founder-Market Fit: Impressive academic experience across Robotics and AI make Chang a great founder to build in this space.
The quicker pitch: ScrewLoose
Attention is the hottest commodity out there right now, but what’s the best way to grab the most of it?
In 2025, it’s common knowledge that video is the most powerful tool.
91% of businesses used video as a marketing tool back in 2024. But for you and your business, that’s a whole lot of noise to cut through. That’s where ScrewLoose comes in.
When we saw their work with OpenSea and the reach they had on their recent OS2 open beta launch we knew these guys had cracked it.
OS2 open beta is now live:
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• 14 chains (welcome @flow_blockchain, ApeChain— OpenSea (@opensea)
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ScrewLoose makes most out of the box videos from scratch creating world-class adverts, podcasts, Youtube videos & social media content for famous brands, tech startups & creators around the world.
If you’re serious about getting in front of more customers, get in contact with their founder, Seb.
Traction metrics
£800k of Revenue to date with 86% Gross Margin
Live trials ongoing with PACCAR & Leyland Trucks
Advanced conversations with Airbus, Accenture & Chevron
£2.2m sales pipeline
Competitive landscape
There are very few competitors building SaaS to help train robots, however humanoid companies tend to develop embodied AI capabilities in-house

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Our Take
Appeals
Huge market: Companies are desperate to adopt new technology to help automate factories. As a result, the opportunity is massive.
Strong unit economics: The combination of both software and hardware products generates very healthy margins.
Early mover: Development started in 2019 before a lot of AI companies were created meaning the company has had a head start in creating its tech.
Risks
Capital intense: As a company building AI products and robotics hardware its cost base is high and will require a lot of cash to keep operating
Complex sales process: Selling robot-training software and tools to large, industrial companies could be challenging
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Last week’s results
Our readers are BULLISH on Mattr.
66%of readers are a fan | 34%of readers are still skeptical |
“A leadership team that strong will find a way to make this work.”