Theoriq Launches AlphaVault with AI-Powered Active Management
San Francisco, California, USA, December 5th, 2025, Chainwire
Theoriq today launched its AlphaVault and initiated its TVL Bootstrapping phase, introducing the first DeFi vault where specialized AI agents autonomously manage risk and rebalance user capital. The launch addresses a fundamental problem in decentralized finance: the manual labor burden that contradicts DeFi’s promise of passive income.
Solving DeFi’s Manual Management Problem
Current DeFi yield farming requires constant monitoring and manual reallocation across dozens of protocols. When liquidity pool prices move outside set ranges, users must rebalance or lose fee revenue. When interest rate arbitrage opportunities shift, users must manually exit and enter new positions. This active management requirement prevents mainstream adoption and causes users to consistently miss optimal returns.
Existing automated solutions like Vfat and Gamma provide rule-based rebalancing but remain strategy-specific and context-blind. They execute predefined actions without understanding market dynamics or portfolio-wide optimization opportunities.
“For years, DeFi users have been sold a myth of ‘passive income’ that in reality demands constant, active management. With AlphaVault, we’re making that promise real. This isn’t another auto-compounder; it’s an intelligent system that actively works to maximize your onchain yield, finally freeing users from the manual grind,” said Ron Bodkin, CEO and Co-Founder at Theoriq Labs.
Active AI Management With Blue-Chip Partners
AlphaVault’s Allocator Agent autonomously allocates capital between premier yield-generating strategies from established partners. Initial integrations are focused on Ethereum yield, including Lido Earn’s stRATEGY Vault curated by Mellow for diversified exposure to curated DeFi opportunities across battle-tested yield protocols, and Chorus One’s MEV Max curated by StakeWise for high-performance, MEV-optimized Ethereum staking rewards.
Unlike previous AI-driven DeFi platforms that suffered from opaque decision-making, AlphaVault’s architecture provides transparency through logged, explainable actions.
Proven Technology and Defense Mechanisms
The underlying AI architecture was proven in a testnet environment that processed more than 2.1M total wallets and 65M AI agent requests processed during testnet, demonstrating its ability to handle complex, real-world demand. The system is built on a multi-agent foundation, designed to eliminate the “black box” opacity and single points of failure that plagued previous AI finance platforms.
For the launch of AlphaVault, this architecture powers a sophisticated Allocator Agent that autonomously manages capital allocation. User funds are secured by unbreakable, onchain “policy cages”—smart contracts that enforce hard-coded rules on asset types, protocol access, and position sizes. This ensures the AI’s strategic flexibility can never deviate from its predefined, secure operating parameters, providing a robust foundation for safe and transparent autonomous management.
TVL Bootstrapping and Token Utility
Users depositing funds during the TVL Bootstrapping phase will earn points redeemable for $THQ rewards based on deposit amount and duration. Theoriq is dedicating 1% of the total $THQ supply (10,000,000 $THQ) to reward depositors during this kickoff phase. In future iterations, the $THQ token will function as a reputation mechanism where holders stake tokens on trusted AI agents, boosting their visibility and capacity. Crucially, stakes will be slashable if agents misbehave or fail, creating community-driven quality curation.
The TVL Bootstrapping phase precedes the full launch of Theoriq’s complete mainnet product suite. Additional information and eligibility details are available through Theoriq’s official channels.
About Theoriq
Theoriq is building an autonomous AI agent infrastructure for DeFi, enabling intelligent, transparent portfolio management that actively optimizes capital allocation while operating within smart contract-enforced safety constraints.