Get Paid for Your Data: How MindMe Uses AI to 10× Personalization

“There’s a gap in how consumer data is collected, managed, used today.” — Archana

Traditional ad giants harvest data without clear consent, leaving users uncompensated and brands dependent on opaque algorithms. Apple’s ATT and Google’s cookie phase-out prove the model is crumbling. MindMe’s answer: build an AI-driven data marketplace where transparency, rewards and first-party insights win.

How the Marketplace Works

Opt-In Rewards for Consumers

Browser extension captures purchase & browsing signals (opt-in only).
Users earn cash, discounts & loyalty perks.
Full dashboard shows what’s shared—no hidden trackers.

Real-Time AI for Enterprises

Large-language-model layer segments audiences automatically.
Creative agents produce images, copy & product recommendations.
“Dynamic frames” (low-code widgets) serve the right content on site, email or SMS—boosting ROAS even as ad costs climb.

From Harvard to Shopify: The Founder’s Journey

Archana’s path: Harvard economics & neuroscience → McKinsey (blue-sky consumer tech) → Deliver (Shopify-acquired logistics SaaS). Across roles she saw one constant: customer data is the #1 value driver. MindMe emerged to give companies cleaner data and consumers a fair share.

Why Now? The Post-Cookie Privacy Wave

Apple ATT blocks automatic mobile tracking.
Chrome will drop third-party cookies.
Regulators push GDPR-style fines worldwide.

Brands need deterministic, permissioned data. MindMe supplies it—at scale—while keeping users happy.

Go-to-Market: Students First, Retailers Fast

Consumer side: 18-35 y/o students = privacy-aware + eager for passive income. Wait-list already “hundreds strong.”
Enterprise side: design partnerships with P&G, Athletic Brewing, D2C leaders—ready to convert once beta ends.

Funding & What’s Next

Fresh pre-seed round closed; priority is scaling the consumer dataset. Archana is open to investors who bring operational expertise in AI, martech or data privacy. Contact: archan@mindmedata.com.

The 5-Year AI Outlook

Archana predicts specialised agents will “10× every role”—but only if models train on ethically sourced data. She calls for bias checks, consent rails and transparent value-sharing.