Entrupy applies computer vision and microscopy to authenticate high-value physical goods, targeting the secondary luxury market. The stack reveals a classic SaaS fintech shape (Salesforce, Chargebee, Stripe, Zuora, NetSuite) layered over a Python + AWS backend—indicating heavy investment in both transaction processing and core ML inference. Hiring is balanced across engineering, sales, and data (6 each), and active projects mix product development with aggressive go-to-market expansion in Southeast Asia, suggesting Entrupy is transitioning from product-market fit validation into scaling mode.
Entrupy uses patented computer vision and microscopy algorithms to authenticate luxury handbags, accessories, and sneakers. The company serves resellers, pawn shops, and online marketplaces that transact in secondary luxury goods. Founded in 2012 and headquartered in New York, Entrupy operates across 10+ countries (US, UK, Indonesia, Brazil, Japan, China, India, Bulgaria, Switzerland, Philippines) with a 51–200-person team. Current pain points center on pipeline generation, support scaling, billing operations, and quality control—typical markers of a company managing rapid customer growth while building repeatable sales and operations infrastructure.
Python, Flask, FastAPI, AWS, and SQL/NoSQL for the core platform. Salesforce, HubSpot, and LinkedIn Sales Navigator for sales. Chargebee, Stripe, Zuora, and NetSuite for payments and billing. Google Workspace, Slack, and Zoom for ops.
Core authentication and fingerprinting product development; customer onboarding programs; go-to-market expansion in Southeast Asia; revenue operations scaling; support ticket reduction; and billing operations optimization.
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