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Based in New York City, Entrupy develops artificial intelligence and computer vision technology designed to authenticate luxury handbags, accessories, and other high-value consumer products. The company provides business-to-business authentication services that utilize proprietary microscopy and machine learning algorithms to detect counterfeit merchandise across complex global supply chains. Their scalable software solutions are utilized by hundreds of commercial enterprises worldwide, including primary retail operators, secondary resale marketplaces, and government agencies, to secure inventory and verify product origins. Operating with an estimated workforce of 101 to 200 employees, the enterprise has raised approximately $3 million in total venture funding to support its ongoing technological development and international market expansion. Current financial metrics indicate that the organization maintains an estimated valuation of $1.4 million alongside roughly $408,898 in annual revenue generation. Entrupy was officially established as a corporate entity in 2012.
Entrupy has raised $3.0M across 1 funding round.
Entrupy has raised $3.0M in total across 1 funding round.
Entrupy has raised $3.0M across 1 funding round. Most recently, it raised $3.0M Series A in July 2017.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jul 1, 2017 | $3M Series A | Daiwa Securities Group, Digital Garage | Battery Ventures, Coelius Capital, Defy Partners, Moonshots Capital, Super{set}, The Finger Group, Torch Capital, Alex Rodriguez, Adam Marchick, Mike Volpe, Vince Thompson, Zach Coelius | Announced |
Entrupy has raised $3.0M in total across 1 funding round.
Entrupy's investors include Daiwa Securities Group, Digital Garage, Battery Ventures, Coelius Capital, Defy Partners, Moonshots Capital, super{set}, The Finger Group, Torch Capital, Alex Rodriguez, Adam Marchick, Mike Volpe.
Entrupy is a New York-based technology company that develops AI-powered authentication solutions using patented computer vision algorithms and microscopy to verify the authenticity of luxury handbags, accessories, sneakers, and other high-value goods.[1][2][3][5] It serves secondary market resellers, online marketplaces, consignment shops, retailers, and government authorities—such as StockX, Shop Goodwill, and Dubai Economy—by solving the $1.7 trillion global counterfeit goods problem through instant, scalable, objective verification that builds trust, secures supply chains, and reduces fraud.[1][3][5] The platform, a hardware-enabled SaaS launched in 2016, now supports thousands of users worldwide, authenticating products from brands like Louis Vuitton, Chanel, Hermès, and top sneakers with nearly 100% accuracy, while expanding into fingerprinting for return fraud prevention and supply chain traceability.[4][5]
Entrupy emerged from four years of research starting around 2010, founded by Ashlesh Sharma, Vidyuth Srinivasan, Vishal Kanchan, and Lakshminarayanan Subramanian—a New York University professor with expertise in machine learning and computer vision.[1][2][4] The idea stemmed from their research paper, "The Fake vs Real Goods Problem: Microscopy and Machine Learning to the Rescue," which demonstrated how microscopic imaging combined with ML algorithms could distinguish genuine luxury products from counterfeits.[3] This academic foundation led to the company's formal launch in 2014 as an NYU spinout, with the commercial service debuting in 2016; early traction came from building a massive image database through partnerships, enabling rapid adoption by resellers and marketplaces.[2][4]
Entrupy rides the explosive growth of luxury resale and sneaker markets, amplified by e-commerce and secondary platforms amid rising counterfeits, enabling trust in a $1.7 trillion illicit trade.[1][5] Its timing aligns with AI advancements in computer vision, post-2010s research breakthroughs, positioning it as a leader in "product verification as a service" for physical goods—a gap in digital-native authentication tools.[2][3] Market forces like regulatory scrutiny (e.g., Dubai Economy partnerships) and consumer demand for verified resale favor Entrupy, influencing the ecosystem by setting standards for AI-driven traceability, protecting brands, and accelerating B2B adoption in retail/resale.[1][3][5]
Entrupy is poised to dominate as the de-facto standard for authenticating physical high-value goods, expanding from luxury to broader retail with fingerprinting and new brand support amid surging resale volumes.[4][5] Trends like AI scalability, supply chain digitization, and anti-fraud regulations will propel growth, potentially integrating with AR/VR for virtual verification or blockchain for provenance. Its influence may evolve into ecosystem-wide infrastructure, powering insured authentications for 20+ luxury brands and beyond, solidifying its role in trust-first transactions—just as it began with a pivotal research paper transforming microscopy into a counterfeit-killing weapon.[3][5]
