Ordellum AI Native SDKIn development
Multi-chain and cross-language
Write once, deploy everywhere — with translations that respect each language and each network.
Stage 1: Parse
The source code’s syntax tree is extracted.
Stage 2: Understand
Its meaning and behaviour are analysed.
Stage 3: Map
A purpose-built mapping system converts it to the target language.
Stage 4: Optimise
Target-network optimisations, including gas, are applied.
Stage 5: Verify
Multi-layer verification confirms equivalent behaviour.
High semantic accuracy, preserving each language’s idioms and tuning for the target network’s gas profile make the result a production-quality counterpart rather than a superficial translation.
- Solidity
- The language of Ethereum and EVM networks.
- Vyper
- A Python-like EVM language focused on simplicity.
- Cairo
- The language of Starknet.
- Move
- The resource-oriented language of Aptos and Sui.
- Rust
- Used by Solana and other high-performance networks.
A process that traditionally needs a separate team per network and months of work becomes an automated flow measured in minutes. A game studio can release the same game on five networks at once; a DeFi project can offer the same function on several chains from one code base; a collectibles platform can follow an ecosystem-wide release strategy to reach a wider audience.
Builds for each target network run in parallel, contract verification is automatic and cross-chain bridging configuration is set up so that a multi-chain application can start with a single command.
Number of supported chains per plan
- Sandbox
- Supported chains: 2 testnets
- Developer
- Supported chains: 5
- Pro
- Supported chains: 15
- Team
- Supported chains: 30
- Business
- Supported chains: 50
- Enterprise
- Supported chains: Custom, including custom chain and VM adapters