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SLAMcore

slamcore.com

Founded Year

2016

Stage

Series A | Alive

Total Raised

$26M

Last Raised

$16M | 9 mos ago

About SLAMcore

SLAMcore develops algorithms for robots and machines to understand where they are and what is around them in an affordable way. The company is delivering highly reliable positioning and mapping intelligence on low power, cost-effective hardware. It was founded in 2016 and is based in London, England.

Headquarters Location

Unit 1, 215-221 Borough High Street

London, England, SE1 1JA,

United Kingdom

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ESPs containing SLAMcore

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Transportation & Logistics / Automotive Tech

Mapping & localization solutions help autonomous vehicles identify their precise location, which is important both for decision making and path planning. Companies are creating sophisticated and detailed mapping technologies using a variety of methods, including crowdsourced imaging data, lidar, and radar.

SLAMcore named as Challenger among 8 other companies, including HERE Technologies, Swift Navigation, and Wayz.ai.

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Research containing SLAMcore

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned SLAMcore in 1 CB Insights research brief, most recently on Jul 16, 2020.

Expert Collections containing SLAMcore

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

SLAMcore is included in 5 Expert Collections, including AR/VR.

A

AR/VR

1,377 items

This collection includes companies creating hardware and/or software for augmented reality, virtual reality, and mixed reality applications.

A

Auto Tech

2,362 items

Startups building a next-generation mobility ecosystem, using technology to improve connectivity, safety, convenience, and efficiency in vehicles.Includes technologies such as ADAS and autonomous driving, connected vehicles, fleet telematics, V2V/V2X, and vehicle cybersecurity.

T

The Edge Computing Landscape

343 items

Edge computing companies facilitate workload deployment in addition to providing data processing and storage at the farthest reaches of the network. These edge computing companies range from data centers at the edge to workload management tools designed to orchestrate edge deploy

A

Artificial Intelligence

9,442 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

A

Aerospace

2,262 items

Latest SLAMcore News

SLAMcore Raises $16 Million to Deliver Low-Cost, Spatial Understanding to Real-Life Robots and the Metaverse

May 13, 2022

SLAMcore already working with customers around the world in both industrial and consumer verticals SLAMcore, a pioneer in vision-based location and mapping for robots, autonomous machines and consumer electronics products, has raised $16 million in Series A capital that will allow the business to rapidly capitalize on its proven technology which combines AI with consumer-grade cameras, sensors and processors to solve the complex challenges of mapping and navigating for a wide range of autonomous machines and devices. “Vision-based spatial intelligence is a key enabler that will turbo-charge this industry. We are excited to support the SLAMcore team and their rapid growth with capital and access to the ROBO Global network and expertise.” The funding round was led by ROBO Global Ventures and Presidio Ventures who invested alongside Amadeus Capital Partners, Global Brain, IP Group, MMC and Octopus. Strategic investors Samsung Ventures, Toyota Ventures, and Yamato Holdings also joined the round. “The robotics market is exploding,” said Lisa Chai, a partner at ROBO Global Ventures which is supporting SLAMcore’s mission. “Vision-based spatial intelligence is a key enabler that will turbo-charge this industry. We are excited to support the SLAMcore team and their rapid growth with capital and access to the ROBO Global network and expertise.” Helping machines read the room SLAMcore uses deep learning to help robots, consumer products and drones identify physical space, objects and people around them in order to autonomously navigate the real world in a safer and more efficient way. Its algorithms allow robots from domestic vacuum cleaners to precision industrial autonomous vehicles to precisely map the physical environment around them and locate themselves accurately within those maps through what is known as Simultaneous Localization and Mapping (SLAM). The technology is also used by producers of VR and AR headsets that require mapping and location to accurately align virtual and physical worlds. SLAMcore’s technology has already been used by major technology companies such as Meta, and with the market for autonomous and spatially aware machines predicted to exceed $100 billion by 2030, the opportunities for the business’ software are immense. Increasing interest in the metaverse will further stimulate the market for wearable and attachable devices that allow humans as well as machines to map and safely navigate real and virtual worlds simultaneously. Democratizing next-generation robotics design A key objective for SLAMcore is to democratize robotic technology by making SLAM more cost-achievable to larger swathes of robotics designers. SLAM is one of the trickiest elements in creating machines and devices that can autonomously navigate and can take months of development time and thousands of dollars in sensors and processors to get right. SLAMcore’s algorithms allow any designer to use a simple hardware set-up of two low-cost cameras and an inertial measurement unit (IMU) to deliver SLAM functionality ‘out-of-the-box’. As a result, many more designers are able to bring their autonomous solutions to market faster and more cost effectively. SLAMcore founder and CEO, Owen Nicholson, commented: “For far too long, robots have not been able to navigate physical spaces with the level of accuracy and efficiency that we know is possible. As they become more available to companies and consumers alike in years to come, SLAMcore is determined to ensure 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 wide swathes of businesses and improve the user experience of consumer products.” “Our technology has already been proven in commercial pilots and proofs of concept with customers as diverse as Meta, which uses SLAMcore in its cutting-edge Bombyx robot, to Synaos which uses it to retrofit autonomous location and mapping capabilities to intralogistics vehicles. This funding will allow us to rapidly scale to meet the demand from consumer electronics, logistics, industrial and manufacturing sector clients all keen to deploy low-cost, high accuracy SLAM at commercial scale.”

SLAMcore Frequently Asked Questions (FAQ)

  • When was SLAMcore founded?

    SLAMcore was founded in 2016.

  • Where is SLAMcore's headquarters?

    SLAMcore's headquarters is located at Unit 1, 215-221 Borough High Street, London.

  • What is SLAMcore's latest funding round?

    SLAMcore's latest funding round is Series A.

  • How much did SLAMcore raise?

    SLAMcore raised a total of $26M.

  • Who are the investors of SLAMcore?

    Investors of SLAMcore include Amadeus Capital Partners, Toyota Ventures, Octopus Ventures, MMC Ventures, Samsung Ventures and 10 more.

  • Who are SLAMcore's competitors?

    Competitors of SLAMcore include Civil Maps, Kuandeng Technology, Outsight, Swift Navigation, Dynamic Map Platform and 12 more.

Compare SLAMcore to Competitors

D
Dynamic Map Platform

Dynamic Map Platform is a company that provides research, development, and commercialization of high precision 3 dimensional (3D) map data used in the realization of autonomous driving and safe-driving support systems, beginning with Japan's motorways and expanding to overseas markets. It was founded in 2016 and is based in Tokyo, Japan.

Point One Navigation Logo
Point One Navigation

Point One Nav uses sensor fusion techniques to integrate GPS signals, local sensors and a cellular connected ground based reference network. This combination of systems allows for centimeter level accuracy at previously unattainable price points, in a package that's incredibly easy to integrate into higher level systems like drones, vehicles, ships etc.

WaveSense Logo
WaveSense

WaveSense is a product that uses a radar to create a map of subsurface signatures from which self-driving cars can navigate.

GeoDigital Logo
GeoDigital

GeoDigital is a big data analytics company that specializes in 3D geospatial data for two industries: mapping technology for autonomous driving cars and power utilities asset inspection and work management.

W
Wayz.ai

Wayz.ai is a smart location and mapping company that provides location with high precision, HD map, real-time location based on cameras and sensors, safety testing and cloud-based solutions for autonomous driving vehicles.

Slamtec Logo
Slamtec

Slamtec is a developer of robot localization and mapping solutions. The company focuses on providing economically affordable and high-performance solutions for robots in auto localization and navigation, as well as offering related core sensors. Its major products are low-cost LIDAR sensor (RPLIDAR), SLAM (Simultaneous Localization and Mapping) solution based on LIDAR technology, and Zeus General Purpose Robot Platform, which can be widely used in business places.

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