Subchain Network
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.
Subchain Abstraction
Nomisma L1 introduces Subchain Abstraction — a modular blockchain architecture that redefines scalability and resource management through a network of specialized subchains.
These subchains are coordinated by Nomisma validators, forming a unified Abstract Liquidity and Data Storage System. This system could allocate compute, storage, and bandwidth resources to dApps based on real-time demand, providing several subchains based on dApp demand.
This architecture departs from traditional monolithic models by prioritizing flexibility, parallelism, and relational storage. Each subchain acts as a semi-autonomous ledger while preserving global consistency, interoperability, and governance through the core Nomisma L1 layer.
At this stage, Nomisma subchains:
Feature customizable economic models, fee structures, and transaction logic
Anchor finalized blocks to Chromia L1 for enhanced security and finality
Single-dApp Subchains Benefits
Each dApp is deployed as its own subchain on Nomisma, ensuring modularity and scalability. A single dApp can manage multiple subchains simultaneously, handling specialized tasks like payment subchains or high-throughput parallel computations.
This architecture enables advanced use cases, optimized performance, and tailored functionality for different dApp functions, while maintaining seamless interoperability within the Nomisma ecosystem.
Nomisma’s Single-dApp Subchains provide a dedicated blockchain environment tailored to the specific operational and economic needs of individual dApps. They benefit from the core capabilities:
Gasless transactions
Rate-Limiting
MEV resistance
Relational Storage
AI-optimized execution
Redundant backups and encryption
Interoperability with other Nomisma subchains
Subchain Business-Models
Subchain developers can configure flexible business models such as:
Core-Plus: Free basic access with optional premium feature upgrades
Access Pass: Recurring subscriptions for exclusive features
Usage-Based: Pay-per-action or data request models
Licensing: One-time or tiered licensing fees for deployment
Revenue Sharing: Earning a percentage of user-generated revenue or trades
Subchain Examples
1. AI-Driven DeFi (DeFAI)
Subchains for DeFi dApps require low-latency execution, rapid data indexing, and support for dynamic state management (APY, order books, strike prices, expiration dates, etc).
AI agent orchestration for real-time yield optimization and risk management
Event-triggered execution based on liquidity or price shifts
MEV resistance for smooth and fair execution
Parallel processing for high-throughput transactions
Automatic indexing for instant access to state changes
Gasless user interaction for better UX
2. Real-World Asset Tokenization (RWA)
These subchains streamline asset issuance and transfer by removing centralized intermediaries, offering programmable compliance and regulatory integrations.
On-chain asset issuance and whitelist management
Built-in KYC/AML workflows using programmable logic
Ledger Digital Asset Protocol (LDAP) for secure tokenization of stocks and RWAs
Configurable licensing models for asset deployment and trading
3. Decentralized Physical Infrastructure (DePIN)
DePIN subchains are designed to ingest and process high-frequency data from physical devices, using AI to coordinate actions and reward mechanisms.
Structured data layer for device states, metadata, and logs
Parallelized execution for large-scale sensor networks
Trigger-based automation for fault detection and incentive validation
DA layers for immediate access to historical data
Enhanced encryption for secure device data storage
4. Gaming and Dynamic NFTs
Gaming-focused subchains support AI-powered NPCs and dynamic NFTs that evolve with gameplay, enabling personalized and immersive game environments.
Real-time metadata updates tied to on-chain game states
Automatic lore and behavior refresh through AI inference
Relational data layer for quick state transitions
High TPS with parallel execution for real-time interactions
Flexible monetization models, including core-plus or access pass strategies
5. AI Training and DeAI
Nomisma supports decentralized AI development through subchains optimized for storing, labeling, and training data, facilitating community-driven model evolution.
Relational database layer for fast read/write operations
Token-incentivized data labeling and validation
Orchestration of distributed training tasks on-chain
Support for mid-range model training via subchain parallelization
Secure and versioned storage for reproducible AI workflows
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