Dino Classroom: Primus Labs 🦖 Lately, I’ve been closely following the convergence of Web3 and AI Agents. After surveying the space, I’ve noticed that most projects are clustered around top-layer applications and storytelling—very few are tackling trust and privacy. In an era where AI Agents can trade on your behalf and RWA volumes exceed $10 billion, proving you have assets or passing KYC still often requires uploading bank screenshots, photos of your ID, or even personal transaction histories. This full-disclosure model leaves us nearly naked online. To solve the pain points of securely bringing off-chain data on-chain and the black-box unreliability of AI decision-making, I looked into Primus Labs (formerly PADO Labs). They don’t build blockchains or apps—they focus exclusively on the foundational infrastructure for verifiable data and privacy-preserving computation. Simply put, Primus’s core idea is replacing the old model of “disclosing data to earn trust” with direct trust built through mathematical proofs. This breaks down into two key pillars: zkTLS (solving “Is the data real?”): Combines zero-knowledge proofs with standard HTTPS protocols. For example, if you want to prove to a DeFi protocol that you have $500K in assets, you no longer need to take a screenshot. Primus generates an encrypted proof directly from your bank’s native data source—the protocol sees only a green checkmark: “Assets meet requirement: Yes.” Your account number, balance, and other private details remain hidden. Their proprietary QuickSilver protocol is orders of magnitude faster than existing solutions. zkFHE (solving “How to safely use the data?”): Leverages fully homomorphic encryption (FHE). Traditional computing requires decrypting data to view it in plaintext; zkFHE enables computation on fully encrypted data without ever revealing it. It accelerates processing speeds by 340x, making data “usable but invisible.” Especially noteworthy is its application to AI Agents. With so many AI tools now automatically trading and making decisions for users, how do you know they’re trustworthy—or whether they’re snooping on your passwords? Primus generates tamper-proof execution logs for every AI interaction, cryptographically proving that the agent accessed only authorized data and followed prescribed rules—not just taking the AI’s word for it. Background: Founded in 2023, Primus is among the earliest teams in the industry to deeply focus on zkTLS and a core contributor to TLSNotary—the foundational TLS proof protocol for Ethereum. Today, Primus has partnered deeply with BNB Chain, Brevis, Phala, and more. In 2025, they secured $6.5M in funding from institutions including VanEck. To all colleagues focused on the AI Agent space: Don’t overthink it—just take action now👇 Follow their official Twitter: @primus_labs Visit their website: https://t.co/7EcrU3YFKn Start following and exploring today. That way, when early access roles or testnet invites roll out, you won’t miss out. Even in down markets, keep learning, stay engaged. That’s it for today’s Dino Classroom—class dismissed! 🐸