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

TheNewsCryptoPublicado a 2026-01-27Actualizado a 2026-01-27

Resumen

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

Preguntas relacionadas

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.

Lecturas Relacionadas

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

marsbitHace 2 hora(s)

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

marsbitHace 2 hora(s)

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

South Korean stock market sees a dramatic shift in fund flows. On July 31, foreign investors made a record net purchase of approximately KRW 7.2 trillion in KOSPI stocks, marking a fundamental reversal from the persistent large-scale net outflows seen in previous months. This contributed to a significant narrowing of foreign net selling in July to KRW 9.8 trillion, down sharply from KRW 48.4 trillion in June and KRW 44.5 trillion in May. Simultaneously, domestic institutional pressure eased. South Korean pension funds and asset managers turned to a net buying position in July, purchasing KRW 1.0 trillion worth of KOSPI shares, contrasting with net sales in May and June. Market volatility is expected to be dampened by new financial regulations. Effective July 31, the Financial Services Commission tightened access for retail investors to single-stock leveraged ETFs by raising the minimum cash deposit requirement. Trading volumes for these products subsequently dropped to about 50% of their monthly average. Citigroup Research maintains its year-end KOSPI target of 10,000 points. The firm cites several supportive factors: the substantial easing of headwinds from capital outflows, a robust fundamental outlook for the semiconductor sector, historically low market valuations, strong economic fundamentals, and the potential for policy support from financial authorities if needed.

marsbitHace 2 hora(s)

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

marsbitHace 2 hora(s)

Breaking! OpenAI's Next-Gen AI Solves 10 Fields Medal-Level Problems

OpenAI's next-generation AI model Astra achieves breakthroughs in 10 long-standing mathematical conjectures. The results, including constructing the first known infinite, finitely presented non-sofic group—resolving a major question since 1999—and advancing the high-dimensional sphere packing problem beyond a 46-year-old barrier, are detailed in a 249-page paper. Key proofs have been formally verified using Lean 4. The AI also refuted a rigidity conjecture by Fields Medalist Alain Connes. According to OpenAI, generating these proofs cost under $2,000. Experts describe the findings as potentially Fields Medal-worthy and a landmark moment for both mathematics and AI, showcasing the model's ability to produce profound, human-like reasoning across diverse fields like group theory, geometry, and operator algebras.

marsbitHace 3 hora(s)

Breaking! OpenAI's Next-Gen AI Solves 10 Fields Medal-Level Problems

marsbitHace 3 hora(s)

How to Make Yourself Irreplaceable by AI Forever

This article argues that the primary threat from AI is not job replacement, but remaining trapped in "wage slavery"—financial dependence on employers. The path to becoming irreplaceable is not resisting AI, but becoming an "unemployable" individual who builds their own meaningful enterprise. The author identifies five key elements for this: Agency (acting without permission), Taste (judging what's worthwhile), Persuasion, Persistence, and Iteration. The solution is to stop being a "pawn" in someone else's game. To start, you must fundamentally change your identity and environment, then engage in rapid, real-world trial and error. While both coding and creating media (content) are powerful, content is more crucial. AI can generate assets, but true value lies in subjective, human-driven content that builds trust and narrative. The actionable advice is to carve out 15 minutes to answer foundational questions: 1) Uncover your "raw material"—what you know deeply or solve effortlessly. 2) Define your contrarian perspective—what common beliefs you think are wrong. The intersection of these answers is your direction. Finally, you must launch by publishing your first core idea immediately, using the feedback to iterate and develop the skills needed for a self-directed life and career.

marsbitHace 4 hora(s)

How to Make Yourself Irreplaceable by AI Forever

marsbitHace 4 hora(s)

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

The article discusses using dice rolls to generate secure Bitcoin wallet seeds, providing entropy independent of potentially flawed hardware random number generators. It explains that each fair dice roll offers about 2.585 bits of entropy, with around 50 rolls needed for a standard 12-word seed phrase and 99+ recommended for higher security. This method gained attention after a vulnerability was revealed in some Coldcard hardware wallets, where a faulty firmware RNG (dating back to 2021) compromised generated keys. The analysis notes that while a dice-generated main seed was safe from this specific flaw, other Coldcard functions (like creating paper wallets, backup keys, or passwords) could still be vulnerable if they used the defective RNG. The piece argues that while dice-based entropy is technically robust, the manual process is error-prone, tedious, and unrealistic for most new users, who might make mistakes in recording or inputting rolls. It concludes that while manual entropy generation should remain an option for advanced users, the long-term goal is to develop reliable, user-friendly hardware and software that securely generates randomness without requiring specialized knowledge. Coldcard users are advised to check their firmware version and replace any secondary secrets (like paper wallet keys) created with vulnerable devices, while also considering multi-signature setups with devices from different manufacturers for added security.

cryptonews.ruHace 7 hora(s)

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

cryptonews.ruHace 7 hora(s)

Trading

Spot
活动图片