Research
Applied Intelligence
Our AI research focuses on closing the gap between academic capability and production reliability. We study enterprise RAG architecture, agent reliability patterns, and inference optimization — the problems that determine whether an AI system works in a demo or works at scale.
[ CURRENT FOCUS ] Currently exploring: enterprise RAG architecture, agent reliability patterns, inference optimization
Building on the Edge
We research the infrastructure layer of decentralized finance and emerging on-chain systems. Concentrated liquidity strategies, cross-chain execution, and autonomous on-chain agents represent the frontier where financial engineering meets autonomous software.
[ CURRENT FOCUS ] Currently exploring: concentrated liquidity strategies, cross-chain execution, autonomous on-chain agents
We close that gap.