Open Arsenal

Data. Claims. Reality.

SignalNet is an open-source AI-driven accountability system designed to bridge the gap between what organizations claim and what they actually do. It focuses on corporations, nonprofits, foundations, and public figures that present themselves as philanthropic or socially responsible, then evaluates those claims against real-world behavior. The goal is not to amplify messaging, but to ground it in verifiable evidence drawn from public data.

At its core, SignalNet builds a structured intelligence layer over fragmented public information. It aggregates financial records, regulatory filings, legal cases, public statements, and investigative reports into a unified entity profile. Each organization or individual is mapped into a dynamic record that evolves over time as new data becomes available. This allows the system to move beyond static summaries and instead reflect ongoing patterns of behavior.

One of SignalNet’s key features is its claim extraction and analysis engine. It identifies statements related to philanthropy, environmental responsibility, social impact, or ethical commitments, and then compares those statements against measurable actions. This creates a structured view of alignment or misalignment between narrative and reality, highlighting inconsistencies, exaggerations, or unsupported claims when they appear in the public record.

SignalNet also includes a negative impact analysis layer that tracks adverse signals such as fraud investigations, regulatory penalties, bankruptcies, mismanagement events, and false or misleading statements. Rather than treating reputation as purely promotional, it incorporates these documented outcomes into a broader integrity profile, helping reveal long-term behavioral patterns that may contradict public messaging.

Another defining feature is its knowledge graph architecture. SignalNet connects entities, subsidiaries, investments, donations, and individuals into a relational network that exposes hidden structures of influence and responsibility. This allows users to see not just isolated events, but how decisions and actions propagate across complex organizational ecosystems.

Together, these components form a system designed for transparency and structured scrutiny. SignalNet does not rely on opinion or speculation; it organizes public evidence into a navigable framework so that patterns, contradictions, and alignments become visible at scale.