
Neurolabs envisions a future where retail execution is seamlessly transformed through the power of synthetic image recognition, enabling Consumer Packaged Goods companies to unlock unified, real-time visibility across every retail touchpoint. By harnessing innovative synthetic data and advanced computer vision, Neurolabs is building the foundation for precise, scalable insights that elevate field operations worldwide.
Our purpose is to empower brands, retailers, and field marketing agencies with tools that go beyond traditional limitations — creating detailed 3D digital twins and synthetic data that fuel smarter decision-making and operational excellence. With a commitment to enterprise-grade security and seamless integration, we are crafting a new standard for intelligent retail automation.
At Neurolabs, we combine deep academic research with cutting-edge technology to drive meaningful change, helping reshape the retail landscape with a fresh approach that fosters efficiency, speed, and accuracy in an increasingly complex environment.
Our Review
We'll be honest — when we first heard about Neurolabs, we thought it was just another AI company throwing around buzzwords like "synthetic data" and "digital twins." But after digging into what they're actually doing, we're genuinely impressed by how they've tackled one of retail's most stubborn problems.
The Problem They Actually Solved
Here's the thing: traditional image recognition in retail is painfully slow and hilariously inaccurate. Try to get a computer to recognize your energy drink brand among 50 others on a crowded shelf, and you'll quickly understand why CPG companies have been stuck doing manual audits for decades.
Neurolabs cracked this with synthetic data — essentially creating fake-but-realistic images of products that train their AI faster and better than real photos ever could. Their ZIA platform can build 3D digital twins from simple artwork files, which sounds like science fiction but apparently works like magic.
What Got Our Attention
The numbers are what convinced us this isn't just academic research dressed up as a startup. We're talking 8x faster audits and 10x faster catalog onboarding compared to traditional methods. That's not incremental improvement — that's a complete game-changer for how CPG companies monitor their products in stores.
Plus, they've built what might be the most comprehensive 3D asset library for product recognition in the CPG sector. When a University of Edinburgh spin-off can attract $12 million in funding and get recognized as the UK and Ireland's fastest-growing deeptech startup, they're clearly onto something big.
Who This Actually Helps
This isn't for your local corner store — Neurolabs is built for enterprise-scale operations. We're talking major CPG brands, large retailers, and field marketing agencies that need to monitor thousands of products across hundreds of locations. If you're Coca-Cola wondering how your displays look in 10,000 stores, this is your solution.
The real beauty is in the unified visibility they provide. From inventory backrooms to shop floors, companies can finally see what's happening with their products in real-time. That's the kind of operational intelligence that can make or break quarterly numbers in the CPG world.
Advanced image recognition optimized for Consumer Packaged Goods (CPG) industry
Synthetic data generation for rapid and scalable image recognition
Creation of 3D digital twins of products from artwork files
Enterprise-grade security and seamless integration with sales and field automation systems
Enables faster audits and faster catalog onboarding for retail execution






