Our Strategy
SmartMLchain implements artificial intelligence/machine learning solutions by collusion over networks, involving multiple agents, partners, and business entities in a decentralized environment. SmartMLchain uses a technique called Deep Chain Learning (DCL), combining deep learning with blockchain in a decentralized autonomous organization.
DCL technique is implemented in blockchain smart contracts for verifying digital identities like signatures, photos or images, and for recognizing audio/video/text/handwriting.
DIGITAL IDENTITY
DCL with Smart Contracts for Verifying Digital Identity
In digital identification, DCL with smart contracts facilitate communication and access to personal data during the Know Your Customer (KYC) process, leading individuals to securely disclose information to various counterparties, who won’t need to hold sensitive information to verify information. For this process, DCL plays an important role in identifying forms, handwritten notes, photos/images, signatures, etc., by collusions over multiple parties in the digital identity verification process.
SECURITIES TRADING
DCL with Smart Contracts for Securitization and Settlement Processes
In securities trading, DCL with smart contracts facilitate automatic payments of corporate dividends and stock splits, leading to reduced settlement cycles, elimination of counterparty and operational risks. For this process, DCL plays an important role in identifying forms, handwritten notes, photos/images, signatures, etc., by collusions over multiple parties in the securitization and settlement processes.
TRADE FINANCE
DCL with Smart Contracts for Collusions over Multiple Parties in Trade Financing Process
In trade finance, DCL using smart contracts in blockchain facilitates automatic approvals and payments during the Letter of Credit issuance process, with an increased liquidity of financial assets, ease of transfer and fraud reduction. DCL plays an important role in identifying forms, handwritten notes, photos/images, signatures, etc., in a complex process of collusions over multiple parties in trade financing process.
DERIVATIVES TRADING
DCL with Smart Contracts for Collusions over Multiple Parties in Derivatives Trading
In derivatives trading, DCL using smart contracts in blockchain facilitates asset servicing for OTC derivatives during trade events. DCL with smart contracts facilitates automated settlement of obligations, credit processing and real-time valuation of positions, thus reducing errors and/or disputes. DCL plays an important role in identifying forms, handwritten notes, photos/images, signatures, etc., in a complex process of collusions over multiple parties in derivatives trading.
AUTO INSURANCE
DCL with Smart Contracts for Auto Insurance Claims Processes
In auto insurance, DCL using smart contracts in blockchain facilitates verification of multiple forms, driving records, information about vehicle types, policies and damage assessment, during accidents, followed by processing of claims and police reports, thus leading to a reduction of duplicated work across disjointed verification process and an increased efficiency. DCL plays an important role in identifying forms, handwritten notes, photos/images, signatures, etc., in a complex process of collusions over multiple parties in auto insurance claims processes.
SUPPLY CHAIN
DCL with Smart Contracts for Supply Chain Management
In supply chain, DCL using smart contracts in blockchain facilitates tracking goods from initiation in the factory to the delivery to recipients in the supply chain, thus leading to a simplification and assurance of the delivery by complex multi-party system. DCL plays an important role in identifying forms, handwritten notes, photos/images, signatures, etc., thus improving supply chain financing, insurance and risks, along with enhanced tracing and verification for reducing fraud and theft.
REAL ESTATE
DCL with Smart Contracts for Mortgages
In real estate, DCL using smart contracts in blockchain facilitates automated release of liens from property records when mortgage is paid off, along with an increased visibility of servicer records to all interested parties. DCL plays an important role in identifying forms, handwritten notes, photos/images, signatures, etc., during payment verification and tracking, thus leading to reduced cost and errors by elimination of manual processes in mortgages.
There are many other areas, where DCL and smart contracts in blockchain can be applied.
An architectural diagram below shows how DCL and smart contracts in blockchain can be applied to an auto insurance claims process.
