Neurolabs offers an Image Recognition as a Service platform that enables field teams to capture store-shelf photos on smartphones and receive near-instant, product-level insights powered by proprietary Visual AI and synthetic-data pipelines. The technology is positioned as a faster, lower-cost alternative to manual retail audits and integrates into enterprise retail tech stacks as a scalable infrastructure layer. Neurolabs says its platform has helped clients cut field operational costs by up to 32% and reduce product onboarding time by 93%. Clients cited in the article include a US soft drinks company, a major European beverage brand, and a UK-based manufacturer. The company is growing its computer-vision engineering team and deepening its commercial footprint across the UK, European, and US markets with plans to scale globally. Management frames the opportunity as addressing an $800 billion problem of inefficiencies in CPG supply chains. Neurolabs offers a no-code/low-code synthetic computer vision platform that helps retailers deploy automation solutions at substantially lower development and deployment cost. The company focuses on precise 3D modeling of everyday physical objects and is compiling a retail 3D repository of roughly 100,000 digital twins of consumer packaged goods. Those digital twins are intended to enable synthetic computer vision across the CPG lifecycle, from manufacturing and distribution to in-store, e-commerce and recycling. CEO and founder Paul Pop highlights the technical challenge of anticipating and reproducing real-life changes in packaging and design, which the company addresses with its synthetic computer vision approach. Neurolabs plans to scale operations and expand its offering to include several consumer packaged goods use cases. Financially, the company raised a €3 million seed round and has raised a total of $4.9 million since 2019. Neurolabs builds a platform that trains object-recognition computer-vision models using solely synthetic (computer-generated) data and delivers models via server deployment or downloadable packages accessible through API calls. The company targets industries such as food service, grocery retail, automotive, smart city, healthcare, manufacturing and agriculture, with many deployments to date in food service for autonomous checkout. Neurolabs claims synthetic-data approaches enable much faster and cheaper model development (up to 20x faster and 100x cheaper versus traditional methods) and offers a no-code interface for RPA/software developers as well as virtual data-generation tools for CV engineers. The startup was founded in August 2018 and has offices in Edinburgh and Cluj-Napoca; it currently has about 10 employees and planned modest hires by end of 2021. Financially, the company reported current revenues under €250k and said it was targeting €1M in revenue by Q1 2022; most of its funding has been used to fund R&D and engineering of the Neurolabs platform.

Total raised

$12M

Funding rounds

3

Latest round

Series A

Latest activity

Apr 2025