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AllRead Machine Learning Technologies

Passeig del Mare Nostrum, 15, Barcelona, Catalonia, 08039, Spain

Overview

AllRead builds plug-and-play computer-vision software for detection and identification of assets across supply chains and port logistics. The solution connects to fixed, mobile or drone cameras to detect containers, wagons, seals, license plates and hazardous-cargo plates, extracting multiple codes from a single image. Its OCR technology performs in adverse, uncontrolled environments and can generate readings without character-by-character recognition. Founded in 2019, the company employs a 26-person team and plans to expand its presence in Spain, Europe and Latin America. AllRead emphasizes low-cost, easy-to-install software to democratize asset tracking for port and logistics operators. The company raised €2.5M in a pre-Series A to support expansion and continued product and talent investment. AllRead MLT develops AI-driven software that detects and reads texts, codes and symbols from any image in real time—even if damaged or partially occluded—to enable traceability of assets in logistics chains. The technology was developed from years of research at the Centro de Visión por Computador de Cataluña and the Universitat Autònoma de Barcelona and the company was created within The Collider of Mobile World Capital Barcelona. The startup claims its solution delivers higher certainty than market standards while reducing hardware and initial investment requirements. Customers include major ports (Barcelona, Algeciras, Bilbao), IAG Cargo, Correos, Idrica, Telefónica and Comsa. The company plans to use the new capital to hire a strong engineering team focused on product development and to expand its European commercial network. It has also participated in GoHub's acceleration program.

Total raised
$3M
Funding rounds
2
Latest round
Series A
Latest activity
Nov 2022

Industries

  • Artificial Intelligence (AI)
  • Machine Learning
  • Software
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Recent funding

  1. Series A

    Nov 2022

    $3M

  2. Equity

    Oct 2020

    $1M

Team