Sahara Al's AI Agent Democratizes Institutional-Grade DeFi Automation

Generated by AI AgentCoin World
Monday, Sep 22, 2025 11:21 pm ET1min read
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Aime RobotAime Summary

- Sahara AI unveils a 2025 DeFi asset management agent using AI automation and non-custodial infrastructure for institutional/retail investors.

- Platform integrates ML-driven strategy creation, TEE security, and multisig wallets to automate execution while mitigating model drift risks.

- Native token expands utility through governance incentives, performance-linked emissions, and revenue capture from vault fees and compute operations.

- Three-phase roadmap targets $25M TVL by 2026, with retail-focused wealth products and cross-chain optimization in later stages.

- $8.45M in institutional backing from Delphi Labs/HashKey supports development, alongside airdrop initiatives to engage early adopters.

Sahara Al, a blockchain-based artificial intelligence platform, has unveiled its latest roadmap, outlining the launch of a decentralized finance (DeFi) asset management agent in the fourth quarter of 2025 and plans to expand the utility of its native token. The platform aims to leverage AI-driven automation and institutional-grade infrastructure to streamline DeFi strategy execution, targeting institutional and retail investors seeking enhanced liquidity management and risk mitigation.

The DeFi asset management agent, described as an “AI-native platform,” integrates a “quantitative infrastructure stack” with machine learning capabilities to automate strategy creation, backtesting, and deployment. Users can design strategies via natural language inputs, after which the system generates verifiable code, executes Monte Carlo stress tests, and deploys strategies across multiple chains. Post-deployment, monitoring agents continuously track performance and rebalance portfolios to align with risk parameters, all while maintaining non-custodial control over user funds. Key security features include Trusted Execution Environments (TEE) to protect sensitive data and Safe multisig wallets to enforce least-privilege permissions.

Token utility expansion is a central focus of the roadmap, with the

Al token serving as a governance and incentive mechanism for curators, liquidity providers, and active participants. The tokenomics model ties emissions to strategy performance, rewarding contributors based on returns generated by deployed strategies. Additionally, the platform proposes two value-capture mechanisms: a share of vault management fees and a margin on compute fees for agent swarm operations, with revenues allocated to treasury growth and emissions.

The roadmap outlines three phases of development. Phase 1, currently in public beta, emphasizes community-driven strategy testing and TVL growth. Phase 2, scheduled for 2026, will open AI Swarm access to users, target $25 million in community strategy TVL, and introduce token-related incentives. Phase 3 envisions a pivot toward retail-focused wealth products, including cross-chain yield optimization and automated risk hedging.

Sahara Al’s ecosystem has secured backing from institutional investors, including Delphi Labs, HashKey Capital, and RockawayX, which collectively raised $8.45 million to accelerate development. The platform’s technical architecture has been validated by partnerships with major DeFi protocols and its adoption by early institutional clients. Notably, the project has emphasized mitigating risks such as model drift, TEE misconfigurations, and smart contract vulnerabilities, advising users to conduct independent security assessments before deployment.

The Sahara AI airdrop, a complementary initiative, aims to distribute tokens to early adopters and expand community engagement. Participants can claim tokens by completing social media tasks and using compatible wallets, with benefits including governance rights and potential value appreciation as the project scales.

Source: [1] Almanak: DeFi Intelligent Agent Platform Analysis - Ju.com (https://blog.jucoin.com/almanak-defi-agent-tokenomics-roadmap/)

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