Open Arsenal

Bringing Ownership Out of the Shadows.

TrueOwnerOS is an open-source, AI-powered infrastructure transparency platform designed to reveal the true ownership structures behind mission-critical corporate properties. The project focuses on identifying situations where the operator of a critical facility — such as a hospital, data center, logistics hub, telecom site, or utility facility — is not the actual property owner. By connecting public records, corporate filings, lease structures, and infrastructure datasets, TrueOwnerOS creates a unified ownership intelligence system that makes hidden corporate real estate relationships visible and searchable.

At its core, TrueOwnerOS combines OSINT methodologies, entity resolution, and graph-based AI analysis to map relationships between operators, landlords, REITs, shell companies, private equity groups, and global infrastructure funds. The platform can automatically classify properties by criticality, detect ownership mismatches, trace corporate family trees, and identify high-risk dependency structures that are often buried across fragmented public records. Through this process, the system transforms raw property data into a living infrastructure knowledge graph.

One of the platform’s most powerful capabilities is its advanced risk and dependency analysis engine. TrueOwnerOS can detect landlord concentration risk, identify private equity extraction patterns, model tenant failure exposure, and simulate infrastructure disruptions caused by bankruptcies, lease failures, or property closures. The platform also includes tools for infrastructure fragility mapping, supply chain dependency analysis, and public-service reliance tracking, helping researchers and communities understand how deeply essential services depend on privately owned real estate.

TrueOwnerOS is designed for a wide range of users, including journalists, researchers, governments, infrastructure analysts, investors, and public-interest organizations. Interactive ownership maps, corporate dependency dashboards, resilience scoring systems, and public accountability tools allow users to explore who controls critical infrastructure and how those ownership structures affect economic stability and community resilience. The project also supports FOIA-integrated datasets, public infrastructure registries, and AI-powered filing audits for SEC disclosures and lease agreements.