Financial Document Tokenization for Immutable Cross-Platform Tracking
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Solution Overview
Problem
Current systems lack the ability to track and connect financial investments with economic plans, failing to provide a unified, permanent, and irrefutable method for identifying and encrypting accounting documents for use across various management contexts.
Innovation Solution
A computer-based system utilizing artificial intelligence and proprietary algorithms to tokenize financial documents, dividing data into sub-blocks, transforming them into metadata, and encrypting them for unique identification and tracking, allowing linking of transactions across platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If financial documents are tracked and connected to investments using current systems, then investment tracking is partially achieved, but the system cannot provide univocal, permanent, and irrefutable identification across all investment processes
Solution Approach 1:
The patent segments financial documents into infinitesimal digital parts (bytes) that are stored in blockchain blocks. Each byte is represented by number 1 as a coefficient and can be independently tracked. This segmentation enables reliable identification of individual document portions while maintaining adaptability across different investment processes and platforms through modular metadata structures.
Solution Approach 2:
The patent introduces metadata as an intermediary layer between financial documents and investment tracking systems. The metadata contains identifying properties that link documents to investments without requiring direct integration between different platforms. This intermediary enables cross-platform compatibility while maintaining reliable, univocal identification through standardized metadata schemas.
2Reliability
If financial documents are divided into infinitesimal digital parts and encrypted, then permanent and irrefutable tracking is achieved, but system complexity increases
Solution Approach 1:
The patent divides financial documents into bytes and stores them in segmented blockchain blocks. Each segment is independently encrypted and hashed, providing permanent and irrefutable tracking. The segmentation approach manages complexity by processing documents in manageable units rather than requiring complex encryption of entire documents at once.
Solution Approach 2:
The patent creates cryptographic copies (hashes) of document segments that are stored on the blockchain. These copies serve as permanent, verifiable records without requiring storage of the original complex document structures. The copying mechanism simplifies the system by working with fixed-size hash values rather than variable-length encrypted documents.
3Adaptability or versatility
If accounting documents are tokenized and exploded into sub-blocks, then unique identification and cross-context usage are enabled, but data processing time increases
Solution Approach 1:
The patent performs preliminary tokenization and segmentation of financial documents during the initial upload phase. Documents are divided into bytes and assigned metadata identifying properties before being used in investment processes. This preliminary action enables rapid retrieval and reuse across different management contexts without repeating the segmentation process, thus reducing processing time in subsequent operations.
Solution Approach 2:
The patent implements dynamic metadata structures that can adapt to different management contexts. The metadata associated with tokenized document segments can be selectively queried and combined based on the specific investment process or management context, enabling flexible reuse without reprocessing the entire document. This dynamic approach reduces processing time by retrieving only relevant segments rather than processing complete documents.
Data Source
Figure 1
AI summary
Tracking, identification and encryption system for financial plans and corporate documents comprising: - a computer platform for computers equipped with an artificial intelligence system; - at least one financial document containing financial data; - at least one macro block in which the data relating to each expense specified in each at least one financial document is stored and divided into sub-blocks; - at least one investment quota, processed by the system on the basis of the data stored and processed by the macro block. Said computer platform is configured to transform a plurality of accounting documents into metadata, such metadata being stored in chains of blocks, where an encrypting algorithm concatenates the next block, protected by encryption. Said system being configured to export by means of a specific API said at least one financial document uniquely identified, to at least a second computer platform.