AllRead Machine Learning Technologies

Informations
Domains Industry 4.0
Applications
Digital and Connected Factory
Number of staff 5
Technologies
_SensorsVision and optical
_Analytics & AIMachine learning - Deep Learning - Artificial Intelligence (AI) - Artificial neural networks
Activity

AllRead Machine Learning Technologies is a Deep Tech Startup developing a cutting-edge Character Recognition Technology, based on a Deep Learning neural network model.

AllRead MLT tracks down, extracts and converts into Big Data the relevant alphanumeric text from operational environments, using Visual Computing software.

Text represents data and appears omnipresent in the value chain of companies with industrial processes (serial numbers, ID codes, meter readings…). AllRead MLT creates value through an innovative and frictionless (mobile) solution to gather data, providing automatic and accurate extraction of the targeted content in operations. It improves efficiency reducing repetitive manual tasks and allowing immediate digitization and processing of the information.

AllRead MLT focuses on the Logistics, Utilities and Manufacturing sectors, and is commercialized through a Software-as-a-Service and a Software Development Kit, able to run directly on mobile devices.

AllRead MLT was launched through the collaboration of the Mobile World Capital Venture Building program as our Lead Investor and the Center of Computer Vision at the Universidad Autonoma de Barcelona.

Our team

Strong leadership team with vast experience in the creation and management of start‐ups, backed by cross functional world class computer vision engineers.

Miguel Silva-Constenla, CEO , Serial entrepreneur across 5 continents with 3 Exits above $10M, Bachelor and Masters degree in Physics.

Adriaan Landman, COO, Entrepreneur and experienced Operations Manager, Track record in Media Industry, Masters in Communication, MBA.

Dimosthenis Karatzas, CTO, Associate Director at CVC (Computer Vision Center), Ph.D. in Computer Science.

Marçal Rossinyol, PO, R&D Project Owner at CVC, Ph.D. in Computer Vision.

Lluis Gomez, PM, R&D Project Manager at CVC, Ph.D. in Computer Science.