Core Insights - AlphaTON Capital has entered a strategic partnership with the Midnight Foundation to integrate a zero-knowledge blockchain with the TON ecosystem, enhancing privacy for Telegram users [3][4][5] - This partnership aims to deliver privacy-preserving AI products to nearly one billion Telegram users, positioning AlphaTON as a leader in decentralized technology [3][4][5] - The Federated Node Agreement establishes a framework for immediate revenue generation and long-term value creation through the development of privacy-enhancing applications [6][12] Company Overview - AlphaTON Capital is a leading public technology company focused on scaling the Telegram super app, targeting an addressable market of 1 billion monthly active users [8] - The company employs a comprehensive M&A and treasury strategy, including direct token acquisition and strategic investments, to generate sustainable returns for shareholders [8] - AlphaTON Capital is incorporated in the British Virgin Islands and trades on Nasdaq under the ticker symbol "ATON" [9] Strategic Partnership Details - The partnership with the Midnight Foundation allows AlphaTON to provide one of the ten founding Midnight nodes, integrating Midnight's privacy layer with Telegram and the TON blockchain [6][12] - The agreement includes a monthly compensation for AlphaTON for developing the Proof of Concept and providing Node Services, with payments starting in the first quarter following the effective date [12] - Additional reimbursement for documented costs associated with network growth is also included, creating a scalable revenue model aligned with network adoption [12] Technological Advancements - The integration of Midnight's programmable privacy features with Telegram's Cocoon AI aims to set a new standard for user privacy in AI applications [4][5] - Users will maintain ownership of their data, ensuring confidentiality while interacting with AI agents for various tasks [4][5] - Midnight's blockchain technology is designed for confidential smart contracts, leveraging zero-knowledge proofs to enhance privacy and security [13]