Redesigning the on-chain experience with an all-weather algorithm and an intuitive UX.
Dubai, United Arab Emirates, 5th Aug 2026 — Web3 technology is moving past the experimental stage into everyday tooling. Yet most on-chain services still sit atop barriers of complex wallets, unfamiliar jargon, and difficult interfaces. Mochi, the AI-powered Web3 asset-management platform unveiled by Xylo Holdings, targets exactly those barriers. Its guiding philosophy is simple: “hide the complex technology behind, and leave the user only an intuitive experience.”
Xylo said it is developing a next version of Mochi centered on an AI algorithmic engine and a newly designed user experience (UX), with a beta release planned for the second half of the year. The goal is “an experience where even users unfamiliar with Web3 can handle on-chain assets in just a few taps.”

A User Experience That Strips Away Web3 Complexity
Where Mochi invests the most is UX. It boldly removes the complex steps legacy on-chain services demanded — connecting multiple wallets, choosing networks, deciphering unfamiliar dashboards — and leaves the user a single, intuitive screen. The sophisticated algorithms and on-chain infrastructure all hide behind. Users need not understand the technology; they simply set a goal and check the result. Through this, Xylo Holdings intends to fundamentally lower the entry barrier that has held back Web3’s mainstream adoption.
An All-Weather Algorithm, Engineered to Stay Steady
At the center of Mochi’s technology is an all-weather algorithm — a proven allocation philosophy that distributes growth, defensive, and hedge-oriented on-chain assets regardless of market regime, so the whole portfolio never collapses in one direction under any conditions. An AI engine is layered on top, observing market signals 24/7 and dynamically adjusting allocations against pre-defined risk rules. If the all-weather approach is structural stability, the AI is real-time response. The two complement rather than compete, with a rule-based safeguard that shifts weight toward a defensive configuration when volatility crosses a set threshold.
Verification over Promises and Transparent Technology
Xylo said it plans to disclose its simulation (backtest) methodology during development — presenting, as data, how the algorithm responded across varied historical market regimes, and above all what defensive choices it made under sharp volatility. Rather than leading with performance, the approach lets users see for qualifying data how the technology behaves. In the Web3 ecosystem, this kind of transparency is regarded as the strongest language for building trust.
“Mochi focuses not on a flashy feature race but on a technical design that stays steady and an experience anyone can use easily,” a Xylo representative said. “Over the long term, our goal is to extend the benefits of Web3 technology to more users and more regions.” The company plans to unveil the AI engine and the new UX in sequential betas, and to run community pre-registration.
For more information, please visit https://xylo.world
About the Company
Mochi is a Web3 asset-management technology platform that combines AI algorithms with an intuitive UX, aiming for an intelligent on-chain asset-management experience built on an all-weather algorithm. Xylo is a company building blockchain- and AI-based technology platforms and a Web3 ecosystem.
Note: The platform described is in development; features and timing may change. This material is intended as an introduction to a technology platform and does not solicit any specific product or guarantee any performance.
Media Contact
Organization: Xylo Blockchain Labs FZCO
Contact Person: Cheon woon, Im (Founder)
Website: https://xylo.world
Email: Send Email
City: Dubai
Country:United Arab Emirates
Release id:47907
The post Xylo Unveils Mochi: An AI-Powered Next-Gen Web3 Platform appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Stocks Talent journalist was involved in the writing and production of this article.
