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"pap! automates refunds for consumers when they shop, fly, travel, subscribe… and live"
TLDR: Every year, consumers miss out on more than $50B because they are not claiming the money they are entitled to. pap! built AI agents that claim it for them.
Founded by Kamal Nahas, Anthony Rassi & Weijie Wang
The pap! team 👨👨👦
Weijie (CTO) spent 6 years in e-commerce and was the lead infra engineer for Wish’s recommendation system, the product that fueled their IPO. He was a Senior SWE at Bolt and StackAdapt. He graduated from Waterloo & UIUC.
Kamal (CEO) earned a B.S. in Electrical Engineering and Computer Sciences from UC Berkeley, worked at Apple as a Security/ML software engineer intern, and met hundreds of engineers while working at Human Capital. He grew up in Lebanon, where he led operations resulting in 230+ families fed for an entire month and 25+ civilians housed.
Anthony (COO) graduated from USC in Computer Engineering and Computer Sciences and worked at Addepar as a software engineer intern. He also grew up in Lebanon, where he won a national hackathon, built a 5-figure affiliate marketing business, and led an engineering team at the country’s largest retailer.
The problem 🚩
When stuff you’ve already bought goes on sale or when flights you’ve booked are delayed, policies entitle you to money. But spotting these opportunities and claiming the cash you’re owed is time-consuming and confusing. Industries subject to such policies include retail, airlines, hotels, technology, and even the government.
The pap! solution 💸
pap! is building AI that connects to your email inbox to: scan your e-receipts, identify opportunities to get you dollars, and automatically claim them by contacting customer service via email, phone, forms, or chat.
pap! started by automating refunds in the shopping industry and have secured $6,650, growing 233% MoM. With AI, they've been able to generalize that same automation to tackle refunds in the flight industry and the class-action lawsuit landscape. That’s when the founders understood why this had never been done before…
Why now? 🚨
AI enables organizations, for the first time, to automatically:
- Reason about unstructured data at scale
- Handle complex, nuanced customer service interactions
Generalizing securing refunds from one industry to all industries turns each step of the process into an unstructured data processing problem. For example, having a parser that can only understand Costco receipts and a scraper that can only read the price from the Costco website is not enough anymore: you need a parser that can understand changing receipts from all enterprises and a scraper that can read information from any website. The ability to reason about unstructured data at scale replaces the rigid, static software, solving the issue.
In short, PAP! represents an opportunity to finally realize the dream customer journey — sign up once, forget they exist, and earn money effortlessly.
Learn More
🌐 Visit joinpap.com to learn more.
✍️ Sign up here (bonus: share your feedback with the founders via email.)
📤 Share this post and tell your friends about it! Everyone deserves to earn the money they are entitled to.
👣 Follow pap! on LinkedIn & X.
