Edgify
Scalable Loss Prevention & Product Recognition for Retail.
Est 2014|Valuation $55M|Raised $20.6M
Scalable Loss Prevention & Product Recognition for Retail.
Published Sep 7, 2026
| Starting Price | Published per-device annual pricing (published starting bands in the hundreds GBP per device per year); enterprise pricing is custom | Not publicly listed (demo / enterprise sale) | Not publicly listed (enterprise sale) |
| Most Suitable For | Retailers seeking edge-based product recognition and scan-avoidance deployment on existing SCO/scales | Large retailers seeking broad checkout loss-pattern detection and ROI narratives | Retailers seeking picked-vs-scanned comparison and autonomous-store heritage |
| Key Strength | Publishes per-device pricing and emphasizes edge-based training/inference | Public materials and commissioned studies that describe ROI patterns | Tied to autonomous-store deployments and mismatch detection framing |
| Key Weakness | Limited third-party reviews and limited public security/compliance disclosures | Some ROI evidence is from commissioned studies rather than fully independent audits | Pricing and infrastructure scope can be variable; vendor integration scope varies |
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Edgify differentiates in public materials by emphasizing on-device training and inference and by publishing per-device pricing. Competitors may offer advantages in other areas: Everseen has more public materials describing ROI and a broader set of loss-pattern detections; Trigo has ties to autonomous-store deployments and frames mismatch detection in that context. Established POS/SCO vendors may provide tighter integration for retailers that already standardize on their hardware stacks.
Pricing disclosure practices differ across vendors. Edgify provides a visible starting price, while many competitors require engagement with sales and may bundle services differently.
Market signals indicate growing vendor activity in anti-shrink computer vision for self-checkout, suggesting category-level momentum.