Decelera Ventures

Decelera Ventures, founded in 2014 and based in Spain, is recognized as the world's first startup decelerator. Evolving from its previous identity as Menorca Millennials, the company employs a unique deceleration methodology aimed at creating sustainable growth for startups while generating value for investors and business leaders. Decelera focuses on helping startups identify optimal growth models that not only foster their development but also contribute positively to broader societal goals. With a commitment to supporting early-stage companies, Decelera Ventures plays a pivotal role in the Southern European entrepreneurial ecosystem, particularly in the information technology and SaaS sectors.

Borja Escalada

Co-Founder and Partner

Jaime Pérez de Laborda

Co-Founder and Partner

Diego Laresgoiti

Co-Founder and Partner

Marcos Martín

Co-Founder, Partner and CEO

Past deals in Barcelona

Syra Coffee

Venture Round in 2025
Syra Coffee, founded in Barcelona in 2015, operates as a specialty coffee shop dedicated to providing high-quality coffee to go. The company emphasizes the experience of drinking coffee, believing that a well-crafted cup can enhance one's daily routine. Syra Coffee offers a range of products, including roasted coffee that is fully traceable, socially ethical, and environmentally sustainable. They focus on developing expertise in coffee through cupping, testing, and training to ensure consistent quality. Their mission is to promote good coffee habits, making the experience accessible to a wider audience while maintaining a commitment to responsible sourcing and sustainable practices.

AllRead Machine Learning Technologies

Seed Round in 2022
AllRead Machine Learning Technologies is a Spanish company established in 2019 and headquartered in Barcelona, specializing in advanced reading solutions for supply chain management. The company has developed proprietary software that utilizes deep learning technology to automate the reading of various data types, such as serial numbers, damaged barcodes, ID codes, sensor readings, and expiration dates. This software, known for its adaptability to multiple reading scenarios, operates on a Convolutional Neural Network (CNN) architecture, enabling direct output of readings without the need for complex text localization or segmentation processes. By outperforming traditional optical character recognition (OCR) systems, AllRead's solution significantly reduces hardware requirements and minimizes manual intervention, thus enhancing operational efficiency in logistics. The software is offered through both Software as a Service (SaaS) and enterprise models, positioning AllRead as a pivotal player in the smart logistics ecosystem.
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