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Xihelm

Xihelm

An artificial intelligence company with software that automates robotic manual work. It is located in London, England and was founded in 2016.

OverviewStructured DataIssuesContributors

Contents

xihelm.com
Is a
Company
Company
Organization
Organization

Company attributes

Industry
Technology
Technology
Machine learning
Machine learning
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Robotics
Robotics
Pattern recognition
Pattern recognition
Location
United Kingdom
United Kingdom
London
London
B2X
B2B
B2B
CEO
James Kent (entrepreneur)
James Kent (entrepreneur)
Founder
James Kent (entrepreneur)
James Kent (entrepreneur)
AngelList URL
angel.co/xihelm
Pitchbook URL
pitchbook.com/profiles...166235-05
Legal Name
Xihelm Limited
Accelerator
Entrepreneurs First
Entrepreneurs First
Accelerator Batch
‌
Entrepreneur First 6
Date Incorporated
2016
Number of Employees (Ranges)
11 – 50
Full Address
Lytchett House, 13 Freeland Park, Wareham Road, Lytchett Matravers, Poole BH16 6FA, United Kingdom
Investors
Earlymarket
Earlymarket
Passion Capital
Passion Capital
Entrepreneurs First
Entrepreneurs First
Founded Date
June 17, 2016
Total Funding Amount (USD)
13,953
Latest Funding Round Date
October 2019
Latest Funding Type
‌
Venture round
Wellfound ID
xihelm

Other attributes

Company Operating Status
Active

Xihelm is a London-based company that is developing automated handwork robotics for specific commercial cases in the industrial greenhouse industry. Its platform uses computer vision and machine vision and connects to robotics with the intention of optimizing crop yield and lowering labor costs. The product is being developed by software engineers and PhD researchers.

Product

There are two main products from the company. The first is DeepRiskView, which conducts a visual risk analysis so that the robots can understand their surroundings. The second product is AssetView, which detects street visible assets on behalf of utilities. The company's product is a software that can automate handwork for robots so they can harvest crops in greenhouse. The software uses deep learning for deep object recognition, allowing for robots to function effectively to complete manual tasks in industries where there may be labor shortages, such as the agricultural industry. It is being tested at indoor tomato farms with the intention of expanding.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date

XIHELM LIMITED overview - Find and update company information - GOV.UK

https://find-and-update.company-information.service.gov.uk/company/10184001

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References

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