A transparent, engineering-grade view of EmpoorioChain intellectual property: patent status, algorithm maturity, and progress signals designed for technical and institutional investors.
EmpoorioChain tracks a portfolio of patents introducing innovations in scalability, privacy, security, interoperability, AI compliance, and sustainability. The primary thesis is defensible differentiation through system-level composition: ultra-high throughput (10M TPS target), on-chain auditing intelligence, and verifiable sustainability mechanics.
Expand a patent to view progress signals, implementation status, and investor-oriented notes.
A novel algorithm decouples block processing, consensus, and storage, enabling independent upgrades at 10M TPS with sub-50ms latency. Built in Rust, it uses sharding and asynchronous execution for scalability, reducing risks, accelerating dApp feature deployment, and optimizing resources dynamically.
High competition in modular blockchains, but the combination of 10M TPS, modular permissions, and dual EVM/WASM support is unique.
Likely novel due to its dual runtime with modular permissions and extremely high TPS, not directly replicated by existing projects.
An AI algorithm audits transactions on-chain against standards like AML and GDPR, processing millions of checks at 10M TPS with real-time oracle integration.
A lattice-based cryptographic algorithm secures EmpoorioChain and DracmaS transactions, protecting against quantum threats across the runtime.
A dynamic algorithm assigns reputation scores to self-sovereign identities (SSI), adjusting fees and access via cross-chain credentials.
A dual-runtime algorithm supports EVM and WASM contracts with modular permissions, enabling 10M TPS for dApps like MooSik and Eoonia Bank.
A secure protocol enables asset and data transfers across Ethereum, Polkadot, and Cosmos, with AI-optimized routing for efficiency at scale.
An algorithm ties DracmaS emissions (2% annually, 3.5B cap) to carbon impact scores, burning tokens for high-emission transactions to drive sustainability.
A federated learning algorithm enables decentralized AI training, with DracmaS payments and zero-knowledge audits for compute and data contributions.
An algorithm uses NFTs to track supply chain assets in real time, embedding compliance rules in smart contracts for transparent logistics.
A zero-knowledge state channel algorithm enables private, scalable off-chain transactions, settled on-chain with sub-50ms finality for DeFi and micropayments.
A novel algorithm for the creation and management of decentralized AI nodes (Ailoos), facilitating secure and efficient distributed processing of AI tasks. This system significantly reduces reliance on centralized AI infrastructure, promoting censorship resistance and data privacy through on-node processing.
Projects like Bittensor and Fetch.ai also aim for AI decentralization. Our distinct approach focuses on cryptographic verification of AI computation results and a unique incentive model for node operators, ensuring verifiable integrity and fair compensation.
Novelty lies in the integration of a specialized consensus mechanism for AI result validation, a robust node reputation system, and a tokenomic model that transparently and fairly incentivizes computational resource contributions, ensuring high-quality, verifiable AI outputs.
Patent for the design and functionality of the DracmaS Token, the native utility and governance token of the Empoorio ecosystem. This includes its issuance, burning, and staking mechanisms, alongside its deep integration with the on-chain reputation system and platform incentives.
Utility tokens from other blockchain platforms (e.g., ETH, SOL, ATOM).
The profound integration with an on-chain reputation system that dynamically adjusts rewards and governance rights, coupled with deflationary burning mechanisms directly tied to the usage and success of applications within the Empoorio ecosystem.
An algorithm for the creation and management of dynamic NFTs (EPL - Evolving Programmable Ledger), where properties and metadata can change in real-time based on external events, user interactions, or oracle data. This enables a new generation of interactive and adaptive digital assets.
Emerging standards like ERC-6551 (Token Bound Accounts) and NFT 2.0 projects exploring NFT mutability.
Novelty stems from a native oracle framework and a specialized scripting language that securely, decentrally, and efficiently defines complex rules for NFT evolution, minimizing reliance on centralized off-chain logic.
Patent for a crucial aspect of EmpoorioChain's core blockchain consensus and synchronization mechanism, ensuring high finality, performance, and security. This includes innovations in validator selection, block propagation, and Byzantine fault tolerance.
Existing consensus mechanisms such as Tendermint (Cosmos SDK), HotStuff (Libra/Diem), or Ethereum's Proof-of-Stake (PoS) consensus.
A hybrid consensus algorithm combining BFT (Byzantine Fault Tolerance) principles with an advanced reputation system for dynamic validator selection, optimizing finality and decentralization in a manner not fully achieved by other blockchains.
Patent-pending innovations are built on a modern, performance-first stack designed for secure interoperability and developer adoption.
Prioritize patents where legal maturity and implementation maturity advance together. The combined progress indicator is designed to surface practical defensibility.
As applications are submitted, this page will reflect submission counts and attach public identifiers when available.