The unstructured Real-World Asset (RWA) market is massive, but most of its data still lives in PDFs, images, web pages, and scanned documents. APRO RWA Oracle is designed specifically to handle this problem by converting unstructured evidence into verifiable, on-chain facts.
Unlike traditional oracles that focus only on numeric price feeds, APRO processes documents, images, audio, video, and web sources. It extracts facts using AI models and anchors every data point back to its original evidence. This means each reported value can be traced to an exact page, image region, or web snapshot.
The system operates through a dual-layer architecture. Layer 1 handles AI ingestion, including OCR, computer vision, large language models, and authenticity checks. Layer 2 independently audits these results through recomputation, cross-checks, and consensus rules before finalizing data on-chain.
APRO targets high-value RWA sectors such as pre-IPO equity, collectible cards, legal contracts, logistics documents, real estate records, and insurance claims. These markets rely heavily on unstructured data and currently require manual verification. APRO replaces that manual process with programmable trust backed by cryptographic proof.
