Paper.com - Private Crypto Trading AI

When Paper.com approached us with their vision for a next-generation cryptocurrency trading platform, they faced a critical challenge that many fintech companies encounter: how to leverage the power of artificial intelligence while maintaining absolute data privacy and security. In the volatile world of cryptocurrency trading, where milliseconds matter and security breaches can mean millions in losses, they needed an AI solution that could process millions of transactions daily without ever compromising their users' financial data.

Our team spent the first month diving deep into Paper.com's existing infrastructure, understanding their trading algorithms, and mapping out their data flow. We discovered that their current system was processing over $50 million in daily trading volume, but they were missing the intelligent layer that could detect sophisticated fraud patterns and optimize trading strategies in real-time. The challenge wasn't just technical—it was about building trust in an industry where trust is everything.

We architected a completely private AI system using Llama 4, deployed entirely on Paper.com's own infrastructure. This wasn't just about running an AI model locally; it was about creating an intelligent system that could learn from every transaction, adapt to new fraud patterns, and make split-second decisions without ever sending a single byte of data to external servers. The AI now monitors for fraud, analyzes trading patterns, and makes security decisions in real-time, all while keeping sensitive financial data completely private and secure.