Transform complex blockchain development into a visual workflow.
01.
Bypass the "black box" problem. Use Zero-Knowledge proofs to mathematically verify that a specific AI model was run correctly on specific input data without re-calculating the model on-chain.
02.
Eliminate reliance on centralized cloud providers. Cerulea allows organizations to build private compute grids using distributed hardware, managed entirely by smart contract governance.
03.
Requesters lock capital in an atomic vault. Funds are only released to the hardware provider once the network cryptographically validates the successful completion of the AI task.
04.
Protect proprietary models. Deploy tasks using Trusted Execution Environments (TEEs) where model weights remain encrypted even while being processed by third-party hardware nodes.
05.
Route AI tasks directly to edge hardware. Cerulea enables low-latency localized compute for IoT and robotics while maintaining a global immutable audit trail of every decision.
06.
Decentralize the training process. Distribute micro-rewards to data providers and hardware operators based on the verified mathematical contribution to model performance improvements.
Follow the exact cryptographic progression of an AI task from initial request to verified result settlement.
08:20:53
[SYS] Intercepting AI Compute payload...
08:20:53
[CMD] Define Task { type: "Inference", model: "Llama-3-70B", vram_req: "48GB" }
08:20:53
[AUTH] Escrowing 250 USDC from requester wallet...
08:20:53
[OK] Task anchored. Broadcasting compute requirements to worker nodes.
Cerulea manages distributed AI through specialized, modular smart contracts. This architecture ensures compute integrity while automating reward settlement across global GPU clusters.
Decentralized AI is a horizontal capability. Here is how different sectors utilize this model to unify intelligence and compute power.
Deploy large language models across a sovereign grid. Companies can run massive model inference without sending sensitive data to a single cloud provider, ensuring privacy through distributed cryptographic execution.
Key Asset Types
Train foundational models using crowdsourced hardware. The network manages the distribution of gradient updates and verifies the mathematical contribution of each worker node to prevent adversarial data poisoning.
Key Asset Types
Execute heavy visual tasks like 3D rendering or high-resolution image generation. Smart contracts handle the partitioning of frames across the network and reassemble the results after cryptographic verification.
Key Asset Types
Whether you are bridging legacy enterprise AI workloads or deploying native decentralized inference, Cerulea provides the exact routing required.
For institutional data teams. Legacy HTTP requests from internal AI pipelines are translated into secure decentralized compute tasks automatically.
Internal AI Pipeline
Python / PyTorch Env
Cerulea API Gateway
Workload Translation
Cerulea Private Chain
Sovereign Worker Registry
For Web3 AI DApps and agents. Bypass legacy middleware and route cryptographic compute signatures directly to the public execution layer.
AI Agent / DApp
React Client & Node JS
Consensus Network
ZK-Verifier Protocol
Cerulea Public L1
Final Settlement Ledger
Building custom ZK-proving circuits for AI models and distributed GPU indexing software from scratch requires world-class cryptographers and massive audit budgets. Calculate your exact deployment speed using Cerulea.
Traditional Deployment
Solidity Coding & Audits
~ 14 Months
Visual Compilation
WASM Logical Artifacts
~ 5 Weeks
The legacy development timeline utilizes Web3 cryptography benchmarks. Writing custom Zero-Knowledge circuits for model verification, negotiating P2P networking protocols for GPU orchestration, and deploying fragile middleware for an average AI application takes a baseline of 6 months. Building the exact same logical architecture via Cerulea requires a baseline of 2 weeks. This acceleration is achieved because Cerulea Studio visually translates your neural compute rules into pre-audited, battle-tested WebAssembly (WASM) binaries instantly, entirely bypassing the manual coding, debugging, and external auditing phases.