Shelfmark builds a fully managed Physical AI platform that combines in-line industrial cameras, spatial sensing and proprietary deep-learning vision models to inspect high-speed continuous materials in real time. The platform fuses sensor data and embeds causal AI to link defect events with dynamic environmental and process inputs, enabling root-cause identification, prediction and guided corrective actions. Shelfmark reports 99.5% defect-detection accuracy in customer deployments, has halved inspection labor costs, generated returns up to 7x versus manual inspection, and achieved a 90% pilot conversion rate. Developed alongside operators in roughly 40 manufacturing facilities and built in Pittsburgh, the company serves initial markets including industrial films, decorated apparel, webbing and structured building components. With this funding Shelfmark plans to expand deployments, grow its sales and marketing team, and advance its roadmap from detection toward more autonomous production.

Total raised

$4M

Funding rounds

1

Latest round

Seed

Latest activity

Aug 2026