VaultLine

VaultLine Verify is an AI-assisted financial verification platform designed to address a critical challenge in receivables financing: determining whether financial documents are consistent, identifying potentially conflicting claims, and giving financial reviewers traceable evidence before making decisions. Financial institutions and businesses often rely on invoices, purchase orders, and fragmented records when evaluating receivables. Inconsistencies, duplicate invoice records, and limited visibility into financing claims can create significant operational and financial risks. VaultLine aims to make these verification workflows more transparent, systematic, and evidence-driven. During the Meta Global AI Developer Hackathon, I built VaultLine Verify, a functional prototype demonstrating eight core capabilities: 1. Invoice and purchase-order document ingestion. 2. Structured financial-field extraction and normalization. 3. Deterministic cross-document verification. 4. Duplicate invoice-number detection across recorded cases. 5. Financial discrepancy identification. 6. Source-level evidence provenance and traceability. 7. Recorded financing-claim conflict detection and evidence-based risk indicators. 8. AI-assisted investigations powered by Meta Muse Spark Open. The system combines deterministic financial checks with AI-generated investigations. Instead of allowing a language model to independently determine financial truth, VaultLine first establishes structured evidence and verification findings. Meta's model then helps organize these findings into understandable investigation reports with source references, unresolved questions, recommended verification steps, and explicit limitations. The prototype includes a working web interface, persistent case and investigation history, and a modular AI-provider architecture. Its Meta integration was successfully tested using Muse Spark Open through Baseten, including completed investigations grounded in saved financial evidence. VaultLine Verify represents the first working verification module of the broader VaultLine vision: an extensible infrastructure platform for receivables verification, financing-claim visibility, and financial risk investigation. The hackathon implementation uses synthetic demonstration documents. It is not yet the complete commercial platform and does not independently establish fraud, legal ownership, or the absence of external financing. Human review remains essential. The long-term objective is to build a trusted verification layer that financial institutions, lenders, and businesses can integrate into their receivables-financing workflows.