Traditional Blockchain: All Nodes Repeat Execution
- N computations · N costs
- Deterministic requirements limit complex computations
- Difficult to support AI and external system calls
ISPC Verifiable Computation Paradigm
Break the limits of deterministic consensus, enabling AI and complex computations to run trustlessly on-chain.
Workbench is only available on desktop browsers. Please visit workbench.weisyn.com on your PC.
Paradigm Breakthrough
Traditional blockchains rely on , making it difficult to support AI and complex business logic. WES / Weisyn reconstructs this with : single execution, multi-point verification, enabling complex computations that are both high-performance and provable.
Core Capabilities
WES / Weisyn centers on the ISPC verifiable computation paradigm, providing breakthrough capabilities in three dimensions: AI Native, enterprise long transactions, and cost optimization.
Break deterministic consensus, enabling AI inference processes to run trustlessly on-chain.
Complete business processes can be safely executed within a single atomic boundary.
Center on verifiable computation, reconstructing performance and cost structure.
Get Started with WES / Weisyn Now
Two core entry points: to browse on-chain data, to start building and operating applications
Product Matrix
WES / Weisyn provides a complete toolchain from on-chain data browsing, contract development to AI model deployment, offering a one-stop experience for developers and operators.
On-chain data browsing and debugging entry point.
One-stop development and operations workbench for contracts and AI models.
Business-semantic contract SDKs with implementations in Go, TypeScript and AssemblyScript (WASM-friendly), helping you build on-chain business logic in familiar languages.
Network Status
Real-time data showing the active status of WES / Weisyn Mainnet, proving that verifiable computation is continuously happening on this chain.
Use Cases
With the ISPC verifiable computation paradigm, WES / Weisyn supports diverse scenarios from healthcare to finance, manufacturing to e-commerce, bringing AI decisions and complex business processes on-chain while maintaining verifiability and high performance.
Record key AI inference and parameters on-chain, enabling retrospective review of every diagnostic basis in case of medical disputes.
Developers & Ecosystem
Whether you're a , , or , you can enter the WES ecosystem from a starting point prepared for you.
Use 30-second experience + documentation and community resources to quickly understand the technical and business value of 'verifiable computation'.
# 启动本地开发节点
./bin/development --api-only
# 部署示例 AI 模型
wes ai deploy models/examples/basic/sklearn_randomforest/sklearn_randomforest.onnx \
--name "Iris Classifier"
# 调用模型进行链上推理
wes ai infer \
--model-hash 0xabc123... \
--input '{"input": [[5.1, 3.5, 1.4, 0.2]]}'