Crypto UTONIC Protocol: Securing $100 Million for TON Restaking

Monday, 16 September 2024, 08:17

Crypto UTONIC Protocol has successfully locked in $100 million for TON restaking, showcasing strong support from investors and institutions. This innovative restaking protocol strengthens The Open Network's infrastructure and enhances its security and scalability.
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Crypto UTONIC Protocol: Securing $100 Million for TON Restaking

How UTONIC Restaking Works

UTONIC’s model aims to decentralize TON operations and build a more secure and diverse ecosystem.

  • Enhanced security is achieved by repurposing staked tokens to secure additional applications within the blockchain.
  • Users can secure AVS and grant additional enforcement rights over their staked assets.

The protocol serves as a marketplace where developers can incentivize others to allocate restaked TON for various services, eliminating the need for inflationary tokens.

TON Restaking Methods

Users can deposit TON into UTONIC smart contracts, which operators utilize to restake for additional yield.

Additionally, users have the option to deposit Liquid Staking Tokens (LSTs) into UTONIC smart contracts.

  • Restakers will receive Liquid Restaking Tokens (uTON) as proof of their staked assets.

UTONIC's Focus on DeFi

As The Open Network expands, restaking becomes essential for boosting its security and scalability.

Leveraging staked assets allows UTONIC to secure more decentralized applications (dApps) and services without requiring new resources.

This approach enhances TON's infrastructure and promotes strategies to engage a broader audience.

UTONIC’s core team, anchored in DeFi, developed a restaking solution inspired by EigenLayer to suit TON’s specific needs.

Through strategic partnerships with key players, UTONIC is set to empower TON validators and token holders in advancing the network's security and scalability.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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