• FrontWave Imaging

  Led · Equity · Sep 2021

  FrontWave Imaging develops a supercomputing software that transforms 3D ultrasound (USCT) data into high‑resolution images to enable earlier, non‑ionizing breast‑cancer detection. The startup positions its solution as a SaaS product that any hospital with compatible data‑acquisition hardware can use. It aims to provide more reliable imaging for patients with dense breast tissue and to enable routine screening at younger ages by avoiding ionizing radiation. With the recent funds, FrontWave plans to finish software development, complete a first prototype and obtain clinical validation and required certifications to reach market in 2023. The company was spun out in 2020 from the Barcelona Supercomputing Center and Imperial College London and currently has a team of 13 professionals. Financing to date has been directed toward product development and clinical validation. FrontWave Imaging develops image‑reconstruction software that uses supercomputing to produce very high‑fidelity, submillimetric breast images from ultrasound data. The product is designed to work with data from any ultrasound tomography device and is targeted at device manufacturers and medical providers. The company markets a non‑ionizing, potentially less painful alternative to mammography, with particular value in imaging dense breasts and enabling earlier routine screening. FrontWave plans a SaaS business model so hospitals with compatible machines can use the technology, and aims to obtain necessary certifications to reach market by 2023. The startup is a joint spin‑off of the Barcelona Supercomputing Center and Imperial College London, and 101 Ventures contributes commercial expertise and early funding. Founders Josep de la Puente, Lluís Guasch and Óscar Calderón drew on experience in supercomputing and geophysics to adapt acoustic wave simulation techniques to medical imaging.

• AllRead Machine Learning Technologies

  Participated · Equity · Oct 2020

  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.

No current team members are available.