@palliora

Palliora is building privacy-preserving computation infrastructure for human-AI coordination, allowing encrypted data sharing and verifiable compute without exposing raw inputs.

The protocol features selective disclosure, encrypted computation (TEE/SMPC/FHE), independent verification, and on-chain reward distribution.

Live testnet is mentioned in tweets, with documentation, whitepaper, and guardian node setup available.

Account created October 2025 with 258 followers.

Green flags: Very early stage (258 followers, 3-month-old account) with working testnet · Clear technical architecture: separate roles for calculators, verifiers, guardians, DA network · Comprehensive documentation, whitepaper, GitHub, and guardian node infrastructure · Addresses real problem in AI-data coordination with concrete cryptographic approach (FHE, TEE, SMPC) · Multiple technical blog posts showing depth of understanding of privacy compute challenges

Red flags: No explicit token ticker or tokenomics details despite mentioning '$PALI' rewards in website text · Relatively low engagement (avg 9) given technical depth, suggests limited traction so far · Team section mentioned but no visible team members or credentials on website snapshot