The AI shopping assistant that raised $38M claiming its AI automated purchases — then journalists discovered human workers in the Philippines were doing it manually
Evaluating only Nate’s profile at its peak — without knowing the outcome — the model ranked Unit economics as the #1 likely cause. Documented cause: Fraud.
Key Events Timeline
FOUNDING
Nate founded
FRAUD EXPOSURE
Fraud allegations surface
SHUTDOWN
Sudden Collapse: Nate ceases operations
Full Analysis
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Documented cause
Nate was founded in 2018 in New York by Albert Saniger with the pitch that its artificial intelligence could automate the checkout process across any e-commerce website — eliminating the need for customers to type their payment information, address, and personal details every time they shopped at a new store. The company raised approximately $38 million from AXA Venture Partners, Coatue Management, and others. By 2021, the app had 800,000 downloads and was being actively marketed as an AI-powered universal checkout tool. The claim was that Nate's AI had solved the technical challenge of reading any website's checkout flow and completing purchases autonomously. In January 2023, Business Insider published an investigation revealing that Nate's "AI" was primarily powered by human workers — employees in the Philippines who were manually completing the checkout processes that users believed were automated. Rather than AI parsing website DOM structures and completing form fields algorithmically, human contractors were watching user purchase requests and manually entering information into websites. The AI automation claimed in investor materials and marketing was largely fictional. The revelation caused immediate investor scrutiny and reputational collapse. The company subsequently shut down. The Nate case emerged as one of the most prominent examples of "AI washing" — companies claiming AI capability that did not exist — in the immediate pre-ChatGPT era of startup fundraising.
Alternative account: Nate raised $38M from Forerunner Ventures and others claiming its AI could complete any e-commerce checkout automatically. In reality, the company relied heavily on human contractors in the Philippines to manually complete transactions that its AI could not handle. When this was exposed in a detailed report, the company collapsed almost immediately. CEO Albert Saniger was later arrested on federal fraud charges related to the misrepresentation.
Lesson
“Claiming AI capability you don't have is not a 'fake it until you make it' strategy — it is securities fraud risk. When human labor substitutes for promised AI automation at scale, the cost structure makes genuine product development impossible: the humans doing the work consume the capital that should fund the actual technology. Investors funded an AI company; they owned a call center.
Alternative account: AI-washing fraud follows a predictable arc: ambitious claims attract capital, human labor masks the gap between claims and reality, exposure collapses investor trust overnight. The technical check is simple: does the system work without the humans?”