About Us

We have combined 30 years experience in e-commerce tech. We've watched technology investments heavily tilt toward massive mega-platforms, forcing small, independent sellers to cave in and play by their rules. Meanwhile, the consumers are getting force-fed product recommendations that don't necessarily align with their interest, all while dealing with privacy concerns as your data is tracked and likely to be shared with third-party.

Our mission is to democratize the e-commerce landscape and put the power back where it belongs. Here is the breakdown of the e-commerce landscape and our solutions:

1. The Seller's Dilemma

• The Mega-Platform Trap: When independent sellers list their products on mega shopping platforms, they lose control over their brand presentation and customized recommendations. Instead of standing out, their unique items are buried and frequently listed side-by-side with cheaper, "look-alike" competitor products.
• The Drive for Independence: To avoid commoditization and build a distinct brand identity, many choose to launch their own standalone web shops. Platforms like Shopify have become a popular choice, powering millions of active stores worldwide. Collectively, Shopify merchants generated over $100 billion in gross merchandise volume in Q1 2026 alone.
• The Marketing Catch-22: launching an independent store means starting from zero, without the built-in traffic that mega-platforms provide. To gain visibility, sellers must invest in advertising. Yet digital advertising often functions as a zero-sum game—one seller’s gain comes at another’s expense. Competitors can quickly outspend to reclaim attention, creating a vicious cycle where sellers must continuously increase their ad spend just to maintain baseline visibility.

2. The Consumer's Disadvantage

• The Discovery Bottleneck: Ordinary consumers generally default to a handful of dominant mega shopping sites because they lack the visibility required to explore the wider internet. As shoppers cannot manually search through millions of online stores, it is almost impossible for them to discover rare, exotic, or perfectly suited products hidden in independent boutique shops.
• Invasive Profiling and Biased Recommendations: Mega e-commerce platforms track browsing behavior and purchase history to build detailed user profiles. However, their recommendation systems often prioritize the platform’s own incentives—such as vendor partnerships and commission structures—over what best serves the consumer. In addition, user data may be shared with third parties, effectively turning shoppers’ personal information into “merchants’ product”.

3. Our Solutions (Pershop AI)

• The Ultimate Discovery Engine: Pershop AI solves the discovery bottleneck by deploying an on-demand AI agent that works solely for the consumer. This ephemeral digital assistant can search hundreds or thousands of web stores—both big platforms and small boutique shops—comparing product features directly against the user's exact preferences. This acts as an ultimate equalizer, performing a comprehensive search that is impossible for a human to do manually, successfully bridging the gap between consumers and the millions of independent shops.
• Unbiased, Consumer-Centric Recommendations: Because the AI agent acts as a proxy working exclusively for you, its recommendations are not influenced by merchant partnerships, commission rates, or profit-driven biases. Because the agents are nonjudgmental and private, consumers can be incredibly specific, honest, and demanding about their needs to ensure the AI finds the perfect match.
• "Zero-Trace" Privacy and Digital Amnesia: To guard against invasive tracking, users store their comprehensive “Taste Profile” in a secure vault protected by zero-knowledge encryption with a personal password. During shopping sessions, a temporary AI agent acts as an anonymous proxy, masking the user’s identity, IP address, and browser fingerprint from merchants. Once recommendations are delivered, the agent will self-terminate, leaving no residual data outside the encrypted vault.

To recap, the transition to an AI-driven, privacy-first model fundamentally shifts the power dynamics of online shopping. By replacing tracked, biased browsing with temporary, anonymous AI agents, we can solve the core challenges facing both independent retailers and everyday shoppers.

Problem Area	The Current E-Commerce Problem	The Pershop AI Solution
Seller Discoverability	Mega-platforms bury unique products; small independent shops lack the marketing and tech budgets to compete for visibility.	AI agents search across millions of sites (big or small), democratizing the landscape and giving independent boutiques equal exposure.
Personalization & Bias	Recommendations are often biased by merchant partnerships, commissions, etc..	The AI works solely for the consumer, delivering unbiased recommendations based on exact, highly specific needs without judgment.
Privacy & Data Security	Aggressive profiling tracks browsing and purchase history, exposing users to data harvesting.	A "Zero-Trace" architecture uses encrypted data vaults and ephemeral, proxy AI agents that terminate completely after shopping.