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Neurolabs

Neurolabs provides synthetic computer vision solutions that utilize advanced algorithms to analyze image data for accurate object identification and classification in retail environments. By replacing expensive real-world data with synthetic alternatives, Neurolabs enables businesses to automate inventory management and streamline operations, achieving faster audits and improved resource allocation.

London, United KingdomFounded 2018313K+ followers
Updated 20 months ago

Funding

$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

LV
Funding rounds are not available yet.

Founders

Product

Problem

Retail environments face challenges in accurately tracking inventory, managing product placement, and ensuring planogram compliance due to the high costs and time associated with traditional data collection methods. Inconsistent lighting, damaged packaging, and the sheer volume of SKUs further complicate the process of obtaining reliable data for optimizing sales and operations.

Solution

Neurolabs offers a computer vision platform, ZIA Vision, that leverages synthetic image recognition (IR) to automate retail execution and provide real-time visibility across all store operations. By using digital twins of products, ZIA can accurately detect and classify items even under challenging conditions, enabling businesses to streamline shelf audits, optimize product assortments, and improve resource allocation. The platform integrates seamlessly with existing sales force automation (SFA) technology, providing actionable insights at the SKU level and facilitating data-driven decision-making across departments. With Neurolabs, retailers can build an AI-powered sales floor, automate workflows, and maximize revenue streams through improved inventory control and planogram compliance.

Target Audience

Neurolabs primarily targets retail businesses, CPG companies, and space planning companies seeking to automate inventory management, optimize shelf placement, and improve overall operational efficiency.

Features

  • Synthetic image recognition (IR) technology for accurate object identification and classification in retail environments
  • ZIA Vision platform for unified visibility across all retail touchpoints, from the backroom to the shop floor
  • Real-time inventory tracking and planogram compliance monitoring
  • Integration with existing Sales Force Automation (SFA) technology via API
  • Automated workflows for sales category management, field operations, and retail intelligence
  • Customizable dashboards for actionable insights at the SKU level
  • Enterprise-grade security to ensure data protection and compliance with global security standards
This profile is AI-generated and may contain inaccuracies.