Q-Bot, a UK-based developer of robots for use in the construction and retrofit industry, has successfully closed a £1.6m funding round.
Deeptech VC specialist EMV Capital led the round, with participation from their parent company NetScientific PLC.
The additional funds, secured primarily from existing investors, will allow Q-Bot to accelerate the rollout of its robotic underfloor insulation solution – across the UK and beyond.
Q-Bot’s AI-enabled robots apply underfloor insulation underneath suspended floors, improving the energy efficiency of buildings with minimal disruption.
Retrofitting a suspended floor has many benefits: it saves money on energy bills, improves daily comfort, reduces carbon footprint, and increases the value of a property, the company says.
Q-Bot offers its ‘Robot as a Service’ to both social and private landlords, as well as homeowners, having now insulated more than 3,000 properties.
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Peter Childs FREng, chair Q-Bot Ltd and Professor, Imperial College London, said: “We are pleased that following the strategy review and changes to the company launched by the Board in 2021, we are now seeing accelerated growth for the business in terms of sales, the on-boarding of a series of key partners and continued investor support.
“We recognise the challenges associated with rising energy bills and are fortunate to be part of worthwhile solutions to reducing energy demands and associated emissions and costs.
“We are looking forward to being able to offer our quality assured underfloor thermal insulation to even more homes in the coming year.”
Dr. Ilian Iliev, managing director of EMV Capital, added: “Q-Bot’s robotics as a service offering is at the right place and right time, providing a massively scalable solution not only to the transition to a low-carbon economy, but to the current crisis in growing households energy bills and energy security.
“We’re pleased also with growing international interest in the technology, which can see a further step-change in growth in future years.”
Image credit: Q-Bot
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