AI Intelligence Layer Verona 2026.09.29 | Verona, rebranded from XION @verona_dev, is driving better change. It has pivoted its business model from XION’s “Chain Abstraction” to becoming an “AI Intelligence Layer” aimed at enabling more meaningful progress. - https://t.co/zxAi8srQ1y Where #XION previously focused on eliminating blockchain complexity to improve usability, #Verona now aims to build a “trust-based infrastructure” that empowers AI agents to autonomously engage in economic activity based on reliable data. Building upon the legacy of the “Burnt Banksy” project—where the original Banksy artwork was burned and turned into an NFT during the XION era—this marks another evolution toward “Proof.” - @BurntBanksy - @verona_korea | XION (Previous) | Verona (Current) Position | Trust-based / Chain Abstraction | AI Intelligence Usability | Removing complexity and onboarding | Reusing verification facts for AI agents Framework | User-friendly L1 chain | Verification infrastructure network and layer Business | Infrastructure-centric development environment | Data trust powered by Truth Engine - https://t.co/OmfwrpqXdM Verona maintains the technical integrity and backward compatibility of the original XION platform, even as it undergoes a brand transformation. The on-chain identity base token #uxion, the daemon binary name #xiond, chain IDs (xion-mainnet-1, xion-testnet-2), and existing validator sets and smart contract addresses remain unchanged and are fully inherited. Existing node operators and developers are seamlessly integrated into Verona’s new AI Intelligence Layer. The core objective of this rebranding stems from enterprise demands for “Verification without Custody”—an infrastructure that can confirm specific facts without holding sensitive source data. By building a “Proof-centric” model using Zero-Knowledge Proofs (ZKPs), Verona directly addresses corporate risks related to data security and regulatory compliance. -------------------- 1. Truth Engine and Gasless Transactions | Verona achieves “Generalized Abstraction” through the integration of the Truth Engine and Meta Account, creating an environment optimized for AI agent activity while removing typical Web3 technical barriers. Through four core modules, the Truth Engine verifies and transforms data from diverse sources without exposing sensitive information: * zkTLS (in collaboration with Reclaim/Opacity): #zkTLS directly proves data from HTTPS web sessions. Users can cryptographically verify bank accounts, platform reputations, social media metrics, and more—without revealing passwords or session details. * zkEmail: #zkEmail leverages email DKIM signatures to prove receipt from specific domains or digital transaction history—enabling identity and transaction verification without exposing email addresses. * zkPassport: #zkPassport enables selective disclosure of specific attributes (e.g., nationality, age) from identity documents like e-passports using NFC signatures. * App Attestations: Extracts encrypted data about in-app states—such as delivery ratings or healthcare metrics—via mobile device Secure Enclaves and authenticated APIs. -- https://t.co/2e6sXnp7Ax Verona’s Meta Account is a smart contract account implemented at the protocol level, resolving the key management risks inherent in traditional EOA (Externally Owned Accounts). * Session Keys: Grant AI agents limited, time-bound permissions—enabling autonomous agent transactions without requiring constant user approval, while safeguarding user assets. * Treasury Contracts: Allow developers to act as gas sponsors for users, eliminating the need for users to hold native tokens for gas fees and delivering Web2-level UX. - https://t.co/ls2GqlKvZ7 While traditional EOA relies on direct user signatures, Verona’s #MetaAccount supports programmable security rules and delegated permissions. This enables AI agents to act solely on verified facts without compromising user privacy—establishing a new security standard essential for the AI era. -------------------- 2. verona:native Token Economy and $USDC Payment Model | Verona has moved away from volatile gas fee-based revenue models and adopted a “SaaS-style Software L1 economic model” tied to enterprise service revenue and AI activity.* $USDC Payment Method: All commercial transactions, including corporate verification fees and advertising expenses, are conducted in $USDC. By providing stablecoin services to enterprise customers, we ensure budget stability. * verona:native Governance and Value: Responsible for network security (PoS) and value accumulation. Programming a permanent burn cycle that uses enterprise $USDC payment revenue and network revenue share to autonomously purchase verona:native tokens on the market. [Supply and Risk Management] * Total Supply: 200 million (verona:native) * Allocation Ratio: Strategic investors (26.81%), ecosystem (23%), team (20%), foundation (15%), community (15.19%), etc. * Unlock Schedule Analysis: A large-scale token unlock of approximately 12.5% (over 25 million tokens) is scheduled for December 2026. Verona expects this to be offset by “revenue-based burning.” Verona anticipates its value will scale proportionally with the volume of trusted data distribution, not gas fee competition. As AI Agent queries increase, verification revenue is generated and directly channeled into the verona:native burn system, expected to form a price support floor. Verona aims to evolve beyond a simple blockchain into a “trust software infrastructure” that generates its own revenue streams. -------------------- 3. Enterprise Verification Market and Global Case Studies (Uber, Nike) | Verona has already established over 150 brand partnerships and verified more than 69 million transactions, creating overwhelming market dominance and proven value. Verona’s core platform, 'ero (EarnOS),' has secured $18.5 million in investment and $30 million in committed ad spend. Users prove everyday activities (e.g., Uber ride history, Nike purchase records) via #zkTLS to earn rewards, while brands execute sophisticated data-driven marketing. [Key Use Case Analysis] * Reputation Asset (Uber/Lyft): Converting drivers’ ride data and ratings into Verona attestations enables users to prove their reputation across platforms and access career opportunities and benefits. * Privacy-Preserving Marketing (Nike/Amazon): Enterprises can verify whether users meet specific conditions—e.g., “spent over $500 in the last three months”—via the #TruthEngine and issue rewards without accessing full purchase histories. In the era of closed data controlled solely by individual corporations, businesses bore the burden of identity verification, massive personal data custody obligations, and associated leakage risks and regulatory costs. Verona’s “selective disclosure” model improves corporate data management burdens by discarding data after verification or returning ownership to users. This presents a significant technological advantage for traditional financial and global retail enterprises. -------------------- 4. Trust Infrastructure for the AI Era | Verona occupies a unique position at the intersection of AI and data trust. Its rebranding—from mere “abstraction” to “verified fact-based data distribution”—is an excellent strategic move, accompanied by timely market alignment. * Successful Rebranding: Successfully transitioned from XION’s underlying technology and data to position itself as an AI intelligence layer. * Proprietary Technology: Builds a gas-free, privacy-preserving environment for AI Agents through Truth Engine and Meta Account. * Revenue-Backed Token Economy: verona:native buyback and burn mechanism driven by enterprise verification revenue. While short-term volatility is anticipated due to the token unlock schedule at the end of 2026, Verona’s potential for growth remains strong, driven by the scale and speed of enterprise adoption. Real revenue is already being generated through the 'ero' platform, positioning Verona as the architect of the “data economy standard” for the AI era. Consider Verona’s vision—“Verify once, Reuse everywhere”—as a path toward building a future digital economy based on accumulated, reusable data rather than ephemeral, fleeting data.