A vision-based location and mapping platform based in London for robots, SLAMcore has raised $ 16 million in funding. The Serie A round was led by ROBO Global Ventures and Presidium Ventures who invested together Amadeus Capital, Global brain, IP group, MMC and octopus. Strategic investors, incl Samsung Ventures, Toyota Venturesand Yamato Holdings also joined the circle.

The platform uses deep training to help robots, consumer products and drones identify physical space, objects and people around them, to navigate autonomously in the real world in a safer and more efficient way.

In order to democratize robotic technology, founder and CEO of SLAMcore Owen Nicholson, said: “For too long, robots have not been able to move in physical space with the level of accuracy and efficiency we know is possible. As they become more accessible to both companies and consumers in the coming years, SLAMcore is committed to ensuring that as many designers as possible have access to the algorithms needed to optimize their products. We provide accurate, robust and commercially viable SLAM using affordable cameras and components that will benefit a wide range of businesses and improve the consumer experience of consumer products. “

Its algorithms allow robots from home vacuum cleaners to precision industrial autonomous vehicles to accurately map the physical environment around them and locate exactly in these maps through what is known as Simultaneous Localization and Mapping (SLAM).

The technology is also used by manufacturers of VR and AR headphones, which require mapping and location to accurately align the virtual and physical worlds. The technology of the startup has already been used by major technology companies such as Meta, and with the autonomous and space-aware market, which is projected to exceed $ 100 billion by 2030, the potential for business software is huge.

Lisa Tea, partner, ROBO Global Ventures, added: “The robotics market is exploding. Vision-based spatial intelligence is a key factor driving this industry. “


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