2.11 AI Stack
Adding AI Integration At RWAs Base Infrastruture Level
Problem: Traditional Layer-1 infrastructures and blockchains struggle with seamless real-world asset (RWA) integration due to inefficient valuation and compliance frameworks. Solution: OAE provides AI-driven RWA pipelines for frictionless onboarding, auditing, and valuation.
Problem: Static oracles lack the sophistication to deliver accurate, real-time data and are prone to manipulation. Solution: OAE AI-powered oracles ensure dynamic, real-time data feeds with anomaly detection and predictive accuracy.
Problem: Regulatory compliance on traditional infrastructures and blockchains is manual, slow, and prone to errors, resulting in high costs. Solution: OAE embeds an AI compliance engine that continuously monitors and enforces KYC/AML requirements while adapting to evolving regulations.
Problem: Credit scoring for tokenized assets relies on simplistic metrics, exposing lenders and investors to unnecessary risks. Solution: OAE AI-driven credit scoring uses advanced predictive models to mitigate risks and enable smarter lending.
Problem: Complex user experiences and fragmented tools hinder adoption by non-technical users and businesses. Solution: OAE offers AI-guided smart wallets to simplify asset management, compliance, and yield optimization.
Problem: Traditional governance models fail to leverage insights for optimal decision-making and efficient validator performance. Solution: OAE AI-enhanced governance uses data-driven insights to select reliable validators and improve decision-making.
Problem: Balancing data privacy with blockchain transparency is challenging, particularly for financial data. Solution: OAE ensures privacy-preserving computations through AI-powered encryption and selective disclosure frameworks.
Problem: Developers lack access to AI-enabled tools for building advanced RWA-focused applications. Solution: OAE provides AI-native SDKs and compliance modules to empower developers with faster, smarter dApp creation.
Problem: Tokenized RWA markets face low liquidity and poor risk assessment, reducing their attractiveness. Solution: OAE AI-driven asset performance modeling enables accurate risk forecasting and better market stability.
Problem: Traditional Layer-1 chains prioritize speed and cost over innovation in real-world utility. Solution: OAE is the “Intelligence-First Infrastruture and Blockchain,” merging AI and Layer-1 technology to redefine utility and scalability.
AI Stack
The AI stack will merge cutting-edge AI tools with Layer-1 technology at the base layer to redefine utility, scalability, and innovation of real-world assets. By seamlessly integrating AI at its core, OAE will provide intelligent infrastructure to transform RWAs, ensuring dynamic compliance, accurate valuation, and real-time data pipelines. It aggregates raw data from the OAE ecosystem and external sources, including:
Blockchain and off-chain input data
Data generated by core OAE features and products
Data from Xend Solutions
User activity data across key infrastructure components
These data are then processed through a privacy and anonymization layer (where required), grouped into relevant streams, and fed into appropriate training models. These models enable the creation, refinement, and delivery of tailored AI solutions.
There are 4 AIs categories introduced by the AI Stack:
WatchDogs
Assistants
Improvers
Concepts
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