Edgeflo is building an AI control tower for physical infrastructure, designed to help organizations understand how goods, assets, contracts, and prices connect across a network. Its platform aims to establish a trusted, auditable model by reconciling custody, physical flow, and settlement into a single source of truth. This foundation helps teams trace how activity in the physical network translates into financial outcomes, including where value is created, lost, or misallocated.

Rather than offering another dashboard, Edgeflo focuses on system-level decisions. The company describes its decision engine as grounded in physics and economics, using those disciplines to evaluate the network and inform recommendations. AI is intended to help teams access, question, and act on the engine’s analysis, rather than relying on a language model to infer economic results. By connecting physical flows with financial decisions, Edgeflo seeks to give organizations a clearer, more accountable way to manage complex infrastructure networks. The company invites interested organizations to contact it to learn more.