Menese Protocol has announced full integration of $TAO, expanding its functionality as it positions itself within the decentralised AI and interoperability space. The update introduces a set of features aimed at simplifying how users interact with subnet-based systems, while also coinciding with the launch of a new presale round for its native token.
The integration allows users to send $TAO across supported environments and stake directly within subnets without relying on external tools. According to the project, users can also move assets between subnets and claim rewards through a non-custodial setup, removing the need for bridges. The approach reflects a broader trend in blockchain development, where reducing friction between networks has become a priority.
Menese Protocol’s focus on subnet functionality aligns with growing interest in decentralised AI infrastructure, particularly in ecosystems where compute and validation are distributed across specialised networks. By enabling staking and transfers within this framework, the platform is aiming to make participation more accessible to a wider group of users.
The announcement also points to planned integrations with other networks, including Polkadot, MultiversX, Algorand and Stellar. These additions, if delivered, would extend the platform’s reach and test how well its model operates across different blockchain environments.
Alongside the technical update, Menese has opened the second round of its token presale. The offering includes limited allocation packages, with incentives such as auto-staking for a fixed period. While early access pricing can attract interest, presales also carry typical risks tied to project delivery, market conditions and long-term adoption.
The timing of the release highlights a common pattern in the sector, where product updates and fundraising efforts often run in parallel. For users, the appeal lies in early access to features and potential rewards. For projects, it provides a way to maintain momentum while building out infrastructure.
Menese Protocol’s latest update adds to a growing list of platforms working on cross-network functionality tied to emerging AI use cases. The success of such efforts will depend on execution, user uptake and how effectively these systems operate across multiple chains.
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