Use Cases
Nomisma is a project in development. Not all solutions presented in the following sections and subsections are implemented at this stage. The current and all subsequent sub-pages are subject to change.
Why Use Nomisma?
Nomisma unlocks new possibilities in DeFi, RWA, Gaming, DeAI and DePIN by combining subchain architecture with Rell's SQL-like simplicity.
These use cases tackle major challenges such as high transaction costs, MEV attacks, scalability, data management and storage efficiency. Nomisma also supports AI agents acting as on-chain automation to enhance user experiences and unlock customizable dApps in a Web3 setting.
1. AI-driven DeFi Strategies (DeFAI)
Nomisma empowers DeFi by deploying a simple dynamic on-chain data management (order books, strike prices, expiration dates, etc.) with a scalable, secure and gasless transaction execution through its subchain network.
AI agents act as execution hands, responding to on-chain data triggers, such as price shifts or liquidity changes, to automate trading, yield optimization and risk management with low latency. This approach meets demands for low-latency computations and lowers MEV risk for a smooth user experience.
2. Real-World Asset and Stocks Tokenization (RWA)
Nomisma bypasses traditional middlemen like brokers or centralized storage by using subchains for on-chain issuance.
Developers can mint, transfer or whitelist assets without the added cost and complexity of intermediaries which opens stable-yield RWA products to diverse investors worldwide. Nomisma also supports secure and compliant tokenization of stocks or real-world assets through Ledger Digital Asset Protocol (LDAP).
3. Decentralized Physical Infrastructure (DePIN)
Nomisma enables AI agents to interact with real-time data from physical devices across DePIN projects. It alowes automating and optimisating processes such as task validation and incentivisation, grid balancing, fault detection, and other actions.
Nomisma provides a flexible, SQL-like on-chain data layer to manage device states and metadata — optimized for AI-driven automation, coordination, and scalability. This is especially relevant for decentralized energy, sensor, wireless, and mapping solutions with high-frequency device inputs.
4. Dynamic NFT-based MPCs (on-chain/AI-based characters)
In metaverses and blockchain games, Nomisma can power AI-driven NPCs based on dynamic NFTs with all metadata that depends on on-chain game states.
With behavior and lore updated dynamically, Rell’s optimized data management ensures fast, scalable interactions, enhancing immersion and personalization for players.
5. AI Training (DeAI development)
Rell's relational database model allows thousands of read-and-write operations, which makes it the best environment for DeAI data storing and management.
Nomisma could support community-driven AI model refinement across parallel computation on specialized subchains, incentivized by tokens and using its relational databases.
While large-scale HPC tasks may still require off-chain resources, Nomisma can handle smaller or mid-range training with on-chain data and throughput efficiency. Developers can launch scalable training processes that benefit from on-chain orchestration without hitting the usual blockchain bottlenecks.
Last updated