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Shelfmark

Camera inspection that catches defects at line speed

Raised to date

$6.2M

of $6.4M offered across 2 Form D filings

Still open
$250K
Investors
15
Last filed
Jul 14, 2026

About

Shelfmark is an AI-native production intelligence platform for continuous-flow manufacturing that catches defects at full line speed, predicts the next ones and explains why they happened. The system pairs camera hardware and NVIDIA edge compute with AI inspection models that work without reference images, then feeds results into a browser-based dashboard that ties defect data back to floor conditions for root-cause analysis. Founded in Pittsburgh in June 2022 by Pat O'Donnell, the company originally deployed retail shelf-scanning cameras (including at 7-Eleven locations in Pittsburgh) before focusing on industrial production lines. It raised a $3.5 million seed round announced in August 2026 from investors including Armory Square Ventures, Grand Ventures, Hyde Park Angels, Argon Ventures, Cultivation Capital and TitletownTech.

Sold as managed AI rather than as equipment: the subscription bundles cameras, edge compute, software and ongoing model tuning by Shelfmark's own experts, and the inspection models need no reference images, so underserved continuous-flow lines get modern vision inspection without an in-house ML team.

Funding

$5.1M round, first sold Jun 2026$4.9M sold$250K still open20242026
Now
  • EquityFiled Jul 14, 2026Form D
    $4.9M/ $5.1M
  • OtherFiled Jul 14, 2026Form D/A
    $1.3M/ $1.3M

Product

Shelfmark production intelligence platform

Industrial computer vision / manufacturing quality software

A managed AI in-line visual inspection platform combining camera systems, NVIDIA edge compute, inspection software and ongoing model tuning, structured around detecting defects at full line speed, predicting recurrence through root-cause analysis, and preventing waste via a browser-based production intelligence dashboard.

  • Detects defects at full line speed without requiring reference images
  • Root-cause analysis linking defect data to floor and process information
  • Browser-based production intelligence dashboard

Built for

Mid-sized continuous-flow manufacturers in underserved industries — industrial film, labels and packaging, textiles and technical webbings, coatings and coil coating, decorated apparel, and trusses

People on file