ELROILAB
Founded Year
2020Stage
Seed - III | AliveTotal Raised
$1.22MLast Raised
$100K | 9 mos agoAbout ELROILAB
ELROILAB develops an industrial artificial intelligence (AI) solution to solve the problem of machine precision control in manufacturing plants with artificial intelligence (AI) reinforcement learning. It combines artificial intelligence with hyperspectral technology to detect the invisible spectrum of light and analyze the properties of materials to identify product deterioration and deformation. It was founded in 2020 and is based in Seoul, South Korea.
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Expert Collections containing ELROILAB
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
ELROILAB is included in 2 Expert Collections, including Artificial Intelligence.
Artificial Intelligence
10,627 items
This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.
Advanced Manufacturing
4,171 items
Companies focused on the technologies to increase manufacturing productivity, ranging from automation & robotics to AR/VR to factory analytics & AI, plus many more.
ELROILAB Frequently Asked Questions (FAQ)
When was ELROILAB founded?
ELROILAB was founded in 2020.
Where is ELROILAB's headquarters?
ELROILAB's headquarters is located at #506 Mario Tower, 28 Digital-ro 30-gil, Guro-gu, Seoul.
What is ELROILAB's latest funding round?
ELROILAB's latest funding round is Seed - III.
How much did ELROILAB raise?
ELROILAB raised a total of $1.22M.
Who are the investors of ELROILAB?
Investors of ELROILAB include TIPS Program, SparkLabs, Magna Investment, Daedeok Venture Partners, Center for Creative Economy and Innovation and 4 more.
Who are ELROILAB's competitors?
Competitors of ELROILAB include TVARIT and 4 more.
Compare ELROILAB to Competitors
Productive Machines developed a computational model to predict and mitigate the influence of harmful vibrations at every stage in metal and composites. The company uses AI technology designed to enhance manufacturing processes and reduce energy consumption. Productive Machines is 2019 based in Rotherham, England.

Covision Quality develops computer vision and machine learning technology. It provides software that automates and scales visual inspection and defect detection on metals and plastics by leveraging computer vision and machine learning and more. The company was founded in 2019 and is based in Brixen, Italy.

Augury offers an end-to-end artificial intelligence-based solution for comprehensive insights into machine health and performance. It helps eliminate downtime, reduce maintenance costs, and maximize productivity for critical machines in industrial and commercial applications ranging from bottling and food processing to paper products and pharmaceuticals. The company was founded in 2011 and is based in New York, New York.

DataProphet specializes in optimizing the manufacturing processes of key industrial verticals with machine learning. Its solutions enable manufacturers to augment their data infrastructure and bring data from where they’ve been using it for compliance in the manufacturing space to a point where they can use it for optimization. The firm was founded in 2014 and is based in Cape Town, South Africa.

Transvalor specializes in the field of material-forming simulation software. It offers FORGE for extensive hot, warm, and cold metal forming, COLDFORM for cold metal forming, SIMHEAT for metal heat treatment, TRANSWELD for welding processes, DIGIMU for microstructural evolution, and more. It was founded in 1984 and is based in Cedex, France.

ReliaSol is a software platform that provides AI-based solutions for predictive and prescriptive maintenance. It uses deep learning algorithms and a computational architecture that minimizes machine failures and unplanned downtime and optimizes production processes based on advanced data analysis. It provides its services to factories and industries. It was founded in 2014 and is based in Krakow, Poland.
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