Neurolabs

Overview

Neurolabs is a pioneering deeptech company specializing in synthetic image recognition technology for the consumer packaged goods (CPG) sector. It was founded in 2018 by Paul Pop, Patric Fulop, and Remus Pop in Edinburgh, United Kingdom, and has since established its headquarters in London, England. The company has raised over $12 million in funding, including a recent Series A round of $7.8 million in April 2025, led by Nauta Capital. Neurolabs aims to transform retail execution by providing AI-driven inventory detection, in-store analytics, and shelf auditing solutions that enhance operational efficiency across retail environments.

Recent Developments

April 23, 2025: Neurolabs announced the completion of a $7.8 million Series A funding round led by Nauta Capital, with participation from LAUNCHub Ventures, Lunar Ventures, and Techstart Ventures. This funding will be used to expand its engineering team and deepen its market presence in the UK, Europe, and the US, targeting inefficiencies within CPG supply chains.
- Neurolabs' platform enables field teams to capture images of store shelves using smartphones, transforming them into structured, actionable data that reduces field operational costs by 32% and product onboarding time by 93%.
- The company is expanding its Visual AI capabilities, integrating seamlessly within enterprise retail tech stacks to provide instant product insights and enhance data-driven decision-making.
- Nauta Capital's Carles Ferrer expressed enthusiasm about Neurolabs' technology, highlighting its potential in scaling Visual AI for global CPG operations.

Attribute	Information
Founding Date	2018
Headquarters	London, England
Founders	Paul Pop, Patric Fulop, Remus Pop
Revenue	Not publicly disclosed
Profits	Not publicly disclosed
Key Investors	Nauta Capital, LAUNCHub Ventures, Techstart
Industry	Computer Vision, Retail Execution
Number of Employees	25 as of 2025

Early History

Neurolabs was founded in Edinburgh in 2018 by three Romanian scientists, Paul Pop, Patric Fulop, and Remus Pop, who met during their studies at the University of Edinburgh. Initially focused on leveraging synthetic data to improve image recognition technology, they aimed to address inefficiencies in retail environments by automating inventory management and product recognition tasks. Early collaborations included pilot programs with supermarkets in Europe to validate the effectiveness of their synthetic data-driven models.

Company Profile and Achievements

Business Model and Services: Neurolabs provides a platform for Image Recognition as a Service (IRaaS), utilizing synthetic data to enhance image recognition algorithms for retail environments. The service allows brands to improve retail execution by providing tools for inventory detection, in-store analytics, and shelf compliance.
- Key Milestones:
  - Raised over $12 million in funding, with significant investment rounds in 2022 and 2025.
  - Developed a comprehensive 3D product repository, amassing over 100,000 digital twins of CPG products, to support scalable retail analytics solutions.
  - Successfully integrated its technology with major CPG players in Europe and the US, providing enhanced visibility and operational analytics.

Current Operations and Market Position

Neurolabs currently operates from its headquarters in London, with a robust presence across Europe and the US. It is recognized as one of the fastest-growing deeptech startups in the UK and Ireland, with a 303% two-year revenue compound annual growth rate (CAGR). The company focuses on empowering retailers with cutting-edge Visual AI solutions to optimize retail operations and enhance customer experiences.

Conclusion

Neurolabs stands at the forefront of innovation within the retail tech sector, delivering impactful solutions that streamline retail operations through synthetic image recognition. By leveraging cutting-edge AI technologies and robust data analytics, Neurolabs is poised to address significant supply chain inefficiencies within the CPG industry, optimizing cost structures and enhancing decision-making processes. As the company continues to expand globally, its groundbreaking technology is set to redefine retail execution standards and cement its status as a leader in synthetic data and AI-powered solutions for the retail industry.