Neurolabs Execution Intelligence

Neurolabs is a visual AI company based in London, United Kingdom, founded in 2018 by Patric Fulop, Paul Pop and Remus Pop. It helps consumer goods brands find out whether promotions, prices, displays and product availability are actually executed in stores, a gap the company says is often far larger than brands assume.

Its Execution Intelligence offering takes shelf photos from a crowdsourced field network or the brand's own field team and recognises products with models trained on synthetic imagery generated from 3D digital twins of products, so new SKUs can be added in under a minute without manual image labelling. Modules cover promotional compliance, display execution, pricing accuracy, product availability and retail intelligence, summarised in an execution score with critical actions. It serves commercial, trade marketing and field teams at CPG companies.

• Promotional compliance: Checks whether planned promotions and promo prices appear correctly on shelf.
• Display execution: Verifies secondary displays and promotion mechanics in store.
• Pricing accuracy: Compares shelf prices with recommended retail prices.
• Product availability: Detects out-of-stocks and voids across stores.
• Synthetic SKU recognition: Trains recognition on images generated from 3D product twins without manual annotation.
• Execution score: Summarises store performance with critical actions and planned versus executed views.

A snack brand in Vietnam can verify that a national promotion is priced and displayed correctly across supermarket chains. A dairy company can track out-of-stocks of new SKUs during launch weeks without waiting for manual audit reports. A trade marketing team can feed execution scores into Power BI to rank distributors.

Brands see measured promotion compliance instead of assumed rates; the website notes measured compliance is often around 52 to 55% while brands assume 85 to 90%. Most brands go live in under four weeks. New SKUs are added in under a minute thanks to synthetic training data. Results feed existing BI tools such as Power BI, Tableau and Snowflake.

Trade spend is one of the largest costs for consumer goods companies, yet much of it is not verified at shelf level. Brands are adopting image recognition and synthetic data to cut field audit costs and react faster to promotion failures. In Southeast Asia, fragmented retail channels make independent execution data especially valuable for multinational and local brands.

Founded in 2018 and headquartered in London, United Kingdom. Raised a USD 7.8 million Series A in April 2025 led by Nauta with LAUNCHub, Lunar Ventures and Techstart. Won the Scottish Enterprise Awards 2023 for Best Retail Computer Vision Technology Company, is a Databricks Bronze Partner and displays a Sifted 250 badge.