ZetaChain 2.0 Launches With Anuma, Bringing Private Memory and AI Interoperability to Creators

TheNewsCryptoОпубліковано о 2026-01-27Востаннє оновлено о 2026-01-27

Анотація

ZetaChain has launched ZetaChain 2.0, introducing Anuma—a privacy-first AI interface and interoperability layer. Anuma brings private, user-owned memory and cross-AI model interoperability to creators, enabling applications to operate across multiple AI models and blockchains without lock-in. Built by core contributor Ankur Nandwani (co-creator of Basic Attention Token), the platform emphasizes user control, encrypted memory, and built-in monetization. ZetaChain 2.0 includes an AI Portal for unified model routing and a Private Memory Layer for secure, permissioned context retention. The release also features an SDK for developers to build privacy-preserving, multi-model AI apps with global payment support. A waitlist for Anuma is now open.

San Francisco, USA, January 27th, 2026, Chainwire

What Brave helped mainstream for private browsing, Anuma brings to AI with private, user-owned memory and AI Portal-based interoperability powered by ZetaChain 2.0.

ZetaChain today announced the beta launch and public waitlist for Anuma, a privacy-first AI interface built on ZetaChain 2.0. ZetaChain also introduced ZetaChain 2.0, a new AI interoperability layer designed to help developers build applications and agents that work across AI models, preserve private user context, and monetize globally without backend infrastructure.

ZetaChain Core Contributor Ankur Nandwani previously co-created Basic Attention Token (BAT), which powers the Brave browser ecosystem with over 100M monthly active users. Brave helped mainstream privacy-first browsing by blocking trackers and ads by default. Anuma applies that same “privacy and user control by default” approach to the next major consumer interface of AI where context and memory increasingly define user experience.

AI adoption is accelerating at internet scale: McKinsey notes that ChatGPT reached 100 million users in two months, and OpenAI has reported 800 million weekly active users by late 2025. Yet the ecosystem remains fragmented, with only 9% of consumers paying for more than one AI subscription across major assistants. This combination creates lock-in at the model layer and forces developers to repeatedly rebuild the same integration, routing, state, and billing infrastructure, while privacy and data are routinely shared across applications, agents, and model providers.

ZetaChain was built to address fragmentation in Web3 by enabling universal apps — applications that can natively access assets like BTC and execute across multiple blockchains through a single platform. In 2025, the ZetaChain network scaled to more than 11.5 million users and processed more than 225 million transactions. With ZetaChain 2.0, ZetaChain is extending this unification thesis to AI so applications can operate across both chains and models, with permissions and private context built in.

ZetaChain 2.0 is composed of two core components:

  • AI Portal: A unified routing and execution layer that allows applications to access multiple AI model providers without lock-in, with built-in support for availability, fallback, and cost-performance optimization.
  • Private Memory Layer: A protocol-level memory system designed to keep user context encrypted and permissioned, enabling persistent experiences across sessions while maintaining user control over what applications and agents can access.

Developer SDK and Platform

ZetaChain 2.0 is designed to scale as a developer platform. Alongside the protocol components, ZetaChain is releasing a developer SDK that packages private persistent memory, cross-model interoperability, and monetization primitives into a single toolkit. The goal is to make it straightforward to build privacy-first apps and agents that can maintain continuity across sessions, connect to multiple model providers, and support global monetization rails from onchain settlement to traditional payment processors without requiring teams to build bespoke infrastructure.

Anuma: First Consumer Showcase

Anuma is the first consumer AI interface built on ZetaChain 2.0. The product provides access to multiple leading AI models through a single experience, supports switching between models without losing context, and is designed so memory remains private and user-controlled. Users can request early access through the public waitlist.

“Brave and BAT proved that privacy-first defaults can win at consumer scale,” said Ankur Nandwani, Core Contributor at ZetaChain. “We’ve already unified the blockchain experience at scale, powering more than 225 million transactions. ZetaChain 2.0 extends that same approach to AI, enabling the next generation of apps and agents that run across models and chains with private, permissioned memory and global monetization by default.”

In 2023, ZetaChain announced a $27 million funding round with participation from Blockchain.com, Human Capital, VY Capital, Sky9 Capital, Jane Street Capital, VistaLabs, CMT Digital, Foundation Capital, Lingfeng Capital, GSR, and others.

About ZetaChain

ZetaChain is the universal layer for AI and Web3, letting developers build apps that run across chains and models, keep memory private, and monetize without infrastructure. With native connectivity across major blockchains and an AI interoperability stack powered by a Private Memory Layer, ZetaChain is building the foundation for the next generation of apps, agents, and experiences.

Users can follow ZetaChain on X (Twitter) and join the conversation on Discord and Telegram.

Contact

CMO
Jonathan Covey
ZetaChain
jonathan@zetachain.com

Пов'язані питання

QWhat is the core innovation that ZetaChain 2.0 introduces with the launch of Anuma?

AZetaChain 2.0 introduces an AI interoperability layer with two core components: the AI Portal, a unified routing and execution layer for accessing multiple AI models, and the Private Memory Layer, a protocol-level system that keeps user context encrypted and permissioned.

QWho is Ankur Nandwani and what is his previous significant contribution mentioned in the article?

AAnkur Nandwani is a Core Contributor at ZetaChain who previously co-created the Basic Attention Token (BAT), which powers the Brave browser ecosystem with over 100 million monthly active users.

QWhat problem in the current AI ecosystem does ZetaChain 2.0 aim to solve?

AZetaChain 2.0 aims to solve the fragmentation and lock-in in the AI ecosystem, where developers are forced to repeatedly rebuild integration, routing, state, and billing infrastructure, while user privacy and data are routinely shared across applications and model providers.

QWhat are the key features of the Anuma AI interface as the first consumer showcase on ZetaChain 2.0?

AAnuma provides access to multiple leading AI models through a single experience, supports switching between models without losing context, and is designed so that user memory remains private and user-controlled.

QHow did ZetaChain demonstrate its scalability in the Web3 space prior to this announcement?

AIn 2025, the ZetaChain network scaled to more than 11.5 million users and processed more than 225 million transactions, demonstrating its ability to unify the blockchain experience at scale.

Пов'язані матеріали

Send a Message to Transfer Coins? Telegram to 'Stuff' a Crypto Wallet into 1 Billion Users This Summer

Telegram founder Pavel Durov has announced that a native, non-custodial wallet called Gram wallet will be built into every Telegram app this summer. This move aims to provide instant, fee-free cryptocurrency transfers for the platform's over 1 billion monthly active users. Durov described it as the largest deployment of a non-custodial crypto wallet in history. The new wallet, developed by Telegram itself, differs fundamentally from the existing third-party @wallet bot. It will be non-custodial from the start, meaning users will control their private keys. Following the announcement, the GRAM token (formerly Toncoin) saw a price increase of approximately 8%. This initiative is part of Telegram's renewed control over the TON blockchain and its "Make TON Great Again" roadmap, marking a return to the project after a 2018 SEC lawsuit. The launch comes as other super-apps like X Money and Meta are also expanding into digital payments, with Telegram opting for a crypto-native approach. However, key details remain unclear, including the exact launch date beyond "this summer," how the promised zero fees will be implemented technically, and how asset support and private key management will work for mainstream users.

marsbit21 хв тому

Send a Message to Transfer Coins? Telegram to 'Stuff' a Crypto Wallet into 1 Billion Users This Summer

marsbit21 хв тому

Hyperliquid’s HIP-4 proposal fuels HYPE staking as long-term conviction grows

Hyperliquid has proposed the HIP-4 upgrade to expand from perpetual futures into a broader, permissionless infrastructure layer for on-chain applications, requiring deployers to stake 500,000 HYPE to launch new markets. This shift aims to enable developers to build on its platform, a strategy backed by growing long-term investor conviction. Evidence includes a major trader staking millions in HYPE instead of taking profits, with total staked tokens reaching 43.9% of the supply, reducing available tokens and strengthening network security. Market metrics like high open interest and balanced funding rates suggest measured, non-speculative trader positioning. Sustained growth in protocol revenue, TVL, and governance participation further supports the positive outlook, contingent on continued user adoption and successful upgrade execution.

ambcrypto24 хв тому

Hyperliquid’s HIP-4 proposal fuels HYPE staking as long-term conviction grows

ambcrypto24 хв тому

7 Months After the Collapse of Huiwang, Southeast Asia's Escrow Platforms Undergo a Major Reshuffle

Following the collapse of Huione Pay—dubbed the "Alipay of Southeast Asia"—seven months ago, the region's underground financial guarantee platform sector is undergoing a significant reshuffle. This power vacuum has been swiftly filled by emerging platforms such as XinBi, Tiger/Navigator, JinBei (renamed JinBo), Dali/Tiancheng, and FullyLight. These platforms, operating largely via Telegram and offering services like escrow for illicit transactions, have absorbed the vast user base and markets left behind by Huione. While positioning themselves as "trust intermediaries," their primary clientele consists of networks involved in online scams, money laundering, illegal gambling, and even human trafficking. For instance, the Tiger/Navigator platform explicitly provides "escrow" services for kidnapping-for-ransom operations ("强押车交易"). Data underscores the immense scale: Huione alone processed over $103 billion in cryptocurrency payments and facilitated over $31 billion through its escrow market before its downfall, linking it to Cambodia's notorious Prince Group. Since its collapse, competitors have seen explosive growth. For example, the XinBi platform has accumulated over $1.6 billion in total USDT revenue, while platforms like NewPay, OkPay (under Dali), and FullyLight Wallet collectively processed over $4.8 billion in USDT in a single year. This ecosystem thrives in regions like Cambodia and Myanmar, where regulatory gaps allow these platforms to act as critical financial infrastructure for sprawling cybercrime industries, from scam compounds to online casinos. The article concludes that the moniker "Southeast Asian Alipay" is a misnomer, obscuring the platforms' fundamental role in enabling serious criminal enterprises rather than representing legitimate financial innovation.

Odaily星球日报37 хв тому

7 Months After the Collapse of Huiwang, Southeast Asia's Escrow Platforms Undergo a Major Reshuffle

Odaily星球日报37 хв тому

The Changing Landscape: What Are Crypto VCs Experiencing?

Title: The Shifting Landscape of Crypto Venture Capital The era of dedicated crypto venture capital funds is undergoing a significant transformation. Once essential for navigating the sector's complexity and high risk, these specialized funds are now facing an identity crisis as the market matures. This shift mirrors historical patterns in other specialized investment classes like cleantech and SPACs, where initial information advantages dissipate as technologies become mainstream and integrated into existing industry frameworks. The article argues that crypto is reaching a critical inflection point, transitioning from a "building phase" to an "integration phase." Major players like Stripe, BlackRock, and Visa now engage with crypto not for its novel mechanics but as a foundational financial infrastructure. Their needs—regulatory compliance, banking partnerships, distribution channels—align with traditional fintech, a domain easily understood by large, generalist funds like Sequoia and Founders Fund. This evolution creates a "barbell effect" within the VC landscape. On one end are massive, diversified platforms that can incorporate crypto as one vertical among many. On the other are small, nimble funds focused on niche, experimental projects. The middle ground—medium-sized dedicated crypto funds—is being squeezed out. Their typical fund size makes it impossible to generate sufficient returns solely from early-stage crypto bets, yet they cannot compete with giants for later-stage deals. Consequently, leading crypto-native firms like Paradigm and Framework Ventures are expanding into AI, robotics, and other sectors, driven partly by LP pressure for better returns amid a broader VC DPI crisis. Others, like Dragonfly and a16z, have narrowed their crypto focus predominantly to financial infrastructure like stablecoins, reframing the sector's core narrative. For crypto entrepreneurs, this consolidation presents challenges. While generalist funds offer larger checks and broader resources, crypto projects now compete fiercely with AI for attention and capital within these firms. Furthermore, the long-term, non-commercial foundational work that built the ecosystem—funded by dedicated crypto VCs—is less likely to attract generalist capital focused on direct returns. The conclusion is that "crypto investor" as a standalone category is becoming obsolete, akin to "internet investor." Crypto is becoming a baseline infrastructure layer. The future will see a barbell structure: large-scale growth financing handled by generalist funds, while pioneering, speculative projects are funded by small, specialized vehicles. The dedicated crypto funds of the 2017-2021 boom, which incubated core infrastructure, are giving way to this new, bifurcated reality.

Foresight News55 хв тому

The Changing Landscape: What Are Crypto VCs Experiencing?

Foresight News55 хв тому

As Consensus Accelerates, What Are Young Investors Betting On?

Title: As Consensus Forms Faster, What Are Young Investors Betting On? In the rapid evolution of tech investment, a new generation of young investors is navigating a landscape where AI, robotics, commercial aerospace, and quantum computing are advancing simultaneously. Traditional investment logic based on financial models is giving way to a need for deep technical understanding and the ability to act before industry consensus forms. An analysis of trends from the "WAIC FUTURE TECH" list of young investment leaders reveals key shifts in focus. The first major trend is the movement of AI from the digital screen into the physical world. Investment is shifting from large language models and chatbots towards embodied AI, robotics, AI hardware, and edge computing. While demonstrations generate excitement, the real challenge lies in achieving scalable, reliable, and cost-effective delivery in complex real-world environments like factories and logistics. Success depends not just on algorithms but on the integration of sensors, actuators, and control systems. Second, the competitive focus for large models is moving beyond raw capability toward building an "intelligence flywheel." The goal is to create self-reinforcing systems where user interaction generates data, improving the model, which in turn enhances the user experience and attracts more engagement. Companies that successfully embed AI into workflows to create these closed-loop systems can build lasting value that isn't easily erased by the next model upgrade. Third, facing a potential bottleneck in high-quality human-generated data, investors are looking at new underlying technologies. Reinforcement learning and self-play, as demonstrated by AlphaGo Zero, offer paths for AI to generate its own experience. Scientific foundation models, which aim to build general AI capabilities for fields like life sciences and materials discovery, represent a non-consensus direction that could unlock new frontiers of knowledge and data. Finally, in deep-tech areas like quantum computing, commercial aerospace, and space-based infrastructure, patient capital is essential. These fields have long, uncertain development and validation cycles involving complex engineering, supply chains, and regulations. Investment here requires a long-term view, focusing on foundational team capabilities and the eventual emergence of market demand, even if commercial returns are distant. Collectively, these trends illustrate how young investors are adapting to a new era. They are learning to make earlier, technically-informed judgments, balance hype with real-world viability, and provide the patient capital needed to build the deep-tech foundations of the future.

marsbit1 год тому

As Consensus Accelerates, What Are Young Investors Betting On?

marsbit1 год тому

Торгівля

Спот
活动图片