diff --git a/src/projects/zkencrypt-ai/index.yaml b/src/projects/zkencrypt-ai/index.yaml
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+name: ZKEncrypt AI
+categories:
+  - infrastructure
+usecases:
+  - fhe
+ecosystem:
+  - solana
+description: >-
+  ZKEncrypt AI leverages Fully Homomorphic Encryption (FHE) for computations on
+  encrypted data (Eval(f, Enc(m)) → Enc(f(m)) under Ring-Learning With Errors
+  (RLWE) assumptions), integrated with Zero-Knowledge Succinct Non-Interactive
+  Arguments of Knowledge (ZK-SNARKs) for verifiable privacy. Built natively on
+  the Solana blockchain using Rust-based smart contracts and the Anchor
+  framework, with AI-driven optimizations via libraries like Microsoft SEAL for
+  noise management and ciphertext packing.
+
+
+  Special Features:
+
+
+  Hybrid FHE-ZK Protocols: Seamless combination enabling encrypted on-chain
+  computations with zero-knowledge attestations, reducing latency by up to 10x
+  in high-throughput scenarios.
+
+
+  AI-Optimized Scalability: Machine learning models dynamically adjust
+  encryption parameters for Solana's parallel processing, supporting
+  applications like confidential DeFi transactions or shielded NFT transfers.
+
+
+  End-to-End Blockchain Privacy: Nodes process encrypted queries (e.g., private
+  ML inferences) without decryption, ensuring tamper-proof integrity via
+  Solana's consensus.
+
+
+  Open-Source Compatibility: Modular design for easy integration with existing
+  dApps, with prototypes demonstrating efficient handling of transaction-heavy
+  workloads.
+
+
+  Why Users Should Adopt ZKEncrypt AI:
+
+
+  In a landscape of escalating data breaches and regulatory scrutiny (e.g.,
+  GDPR, MiCA), ZKEncrypt AI empowers developers and users to build
+  trust-minimized applications on Solana, where privacy is not an afterthought
+  but a core primitive. By enabling fully encrypted web interactions on
+  blockchain, it mitigates intermediary risks, unlocks novel use cases like
+  anonymous voting or secure supply-chain verification, and positions Solana as
+  a leader in privacy-preserving DeFi. Early adopters gain a competitive edge in
+  scalable, confidential computing without compromising performance.
+product_launch_day: 2025-11-22T17:00:00.000Z
+sunset: false
+assets_used:
+  - sol
+have_token: false
+tokens:
+  - symbol: ZKE
+    name: ZKEncrypt AI
+    contract_address: ""
+    token_link: ""
+links:
+  web: https://zk-labs.network
+  blog: ""
+  github: ""
+  forum: ""
+  docs: https://zk-labs.network/docs
+  whitepaper: ""
+  block_explorer: ""
+  governance: ""
+  twitter: https://x.com/Zkencrypt_AI
+  discord: ""
+  telegram: ""
+  lens: ""
+  farcaster: ""
+project_phase: beta
+project_status:
+  live_status: true
+  mainnet: false
+  testnet: false
+  version: beta
+blockchain_features:
+  opensource: true
+  upgradability:
+    enabled: true
+  asset_custody_type: non-custody
+  encryption: ZKEncrypt AI employs advanced encryption paradigms, primarily Fully
+    Homomorphic Encryption (FHE) for enabling computations on encrypted data
+    without decryption (e.g., Eval(f, Enc(m)) → Enc(f(m)) under RLWE
+    assumptions). This is augmented by Zero-Knowledge (ZK) proofs for verifiable
+    privacy and AI-optimized noise management, all deployed natively on the
+    Solana blockchain for scalable, decentralized applications in a fully
+    encrypted web ecosystem.
+storage:
+  decentralized: true
+privacy_policy:
+  defined: false
+  link: ""
+  data_usage: ""
+compliance: ""
+tracebility:
+  kyc: false
+  tracked_data: ""
+  sign_in_type_requirments:
+    - wallet
+default_privacy: false
+audits: []
+third_party_dependency: ""
+social_trust: ""
+technical_spof: ""
+team:
+  anonymous: false
+  teammembers:
+    - name: Arthur
+      link: ""
+funding: []
+history: []
+id: zkencrypt-ai
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