Roadmap

↝ Completed Milestones

Over the past months, our team has laid the groundwork for Aelio’s long-term success, focusing on infrastructure, strategy validation, and early engagement.

Key accomplishments include:

• Design and deployment of Aelio’s smart contract architecture • Development of the AI strategy engine (time-series modeling, sentiment analysis, dynamic rebalancing) • Backtesting and stress testing using historical LetsBonk data • Initial oracle integration for price and sentiment feeds • Launch of the official website: aelio.vc • Release of documentation and early contributor outreach

→ Submission of Aelio to the LetsBonk Hackathon — marking our first public step into the ecosystem

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↝ Launch on LetsBonk

We’re now preparing for Aelio’s official on-chain deployment, transitioning from concept to live, autonomous investment protocol.

This phase will include:

• Deployment of the full Aelio Fund smart contract suite • Activation of the deposit pool (with 365-day lock-in, performance fee, and hurdle rate logic) • Onboarding of early users and contributors • Public release of the audited contract code • Launch of the real-time strategy dashboard and performance tracker

This milestone kicks off active fund management using Aelio’s AI models—live and in production.

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↝ Post-Hackathon Objectives

After the hackathon, our focus shifts to iteration, transparency, and deeper integration with the LetsBonk ecosystem:

• Weekly AI model updates informed by live performance feedback • Launch of the AI transparency portal, sharing data insights, scoring models, and portfolio rationale • Collaboration with LetsBonk-native projects for co-investment opportunities and liquidity synergies • Broader user onboarding and LP incentive rollout

→ Introduction of a community feedback loop to refine user experience and optimize fund mechanics

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↝ Potential Cross-Chain Expansion

While Aelio is currently LetsBonk-native, our architecture is chain-agnostic by design. As we grow, we’ll explore cross-chain opportunities such as:

• Mirrored liquidity strategies across compatible DeFi ecosystems • Using Aelio’s AI allocator to manage satellite portfolios in high-potential markets • Cross-chain governance inputs, creating a unified intelligence layer over multiple networks • Maintaining security and performance via trusted oracles and cross-chain execution modules

These expansions will be pursued cautiously, prioritizing integrity and ROI over speed.

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↝ V2 of the AI Engine

A major evolution is already underway: Aelio AI Engine V2 is in active R&D, with significant upgrades planned:

• Introduction of multi-agent reinforcement learning, simulating complex strategic interactions • Use of graph-based models to capture protocol-level dependencies and capital flows • Upgraded NLP pipelines, using LLMs and few-shot learning for deeper narrative tracking • Gas-optimized execution through adaptive strategy compression

→ Integration of on-chain behavioral data into training loops, allowing the AI to self-correct and evolve based on real market impact

Aelio V2 will mark the shift from a high-performance allocator to a self-learning, adaptive investment agent—one that not only reacts to markets, but learns from them.