Our Story

The AllRead Machine Learning Technologies (AllRead) co-founding team was born inside the technology-transfer venture building program The Collider of Mobile World Capital (Barcelona), in late 2018. Their challenge was to launch a company, commercializing a technology that resulted from 5 years of research inside the Computer Vision Center of Catalonia: A unique convolutional neural network (CNN), able to process images and extract structured alphanumeric information with an accuracy above industry benchmarks, in highly unconstrained and complex environments.

Combining two experienced entrepreneurs with international track record, and three senior Computer Vision and Machine Learning scientists (the inventors of the technology), AllRead was founded in March 2019. The technology and its patent were transferred with exclusive rights to the company. However, AllRead and the prestigious Computer Vision Center of Catalonia remain partners, with AllRead therefore always on the leading edge of Computer Vision technologies.

Following a Pre-Seed round in early 2019, the team validated its solution through various pilot projects in Logistics and Utilities where a clear pain point stood out. Despite living in a digital era, text still appears in infinite ways: printed, engraved, painted, labelled… On products, vehicles, containers and more, in Supply Chains. Companies spend a lot of time and money trying to extract this valuable information for identification, monitoring and tracking purposes, using outdated technologies and manual repetitive processes.

Developing a plug and play software, AllRead extracts information from photos or videos to deliver the clean data, improving operational efficiency, reducing throughput time and accelerating data management.


Mid-2020, AllRead closed a Seed Round led by Global Omnium’s corporate venturing fund Go-Hub Ventures, completed by public grants, with the ambition to work on its Product-Market-Fit and the scalability of the company.

Indeed, AllRead has made it its mission to bring intelligent reading solutions to supply chains around the world.

Bringing intelligent reading systems to supply chains
around the world