Roadmap
Phase 1 — Network Genesis (Q4 2025–Q1 2026)
- Launch NeuroBox Beta — pilot deployment of the home-grade decentralized CDN device. 
- Complete PoSV testnet to verify node bandwidth, uptime, and task delivery and Real time mining 
- Deploy the first 5,000+ nodes across Asia and Europe. 
- Release the Node Dashboard for bandwidth monitoring and revenue tracking. 
- Finalize $NBOX Tokenomics & Pre-seed Round 
Phase 2 — Compute Expansion & GPU Market (Q1–Q2 2026)
- Launch NeuroCluster (browser-based node). 
- Allow users to share idle GPU/CPU resources directly through their browser. 
- Lightweight installation — no specialized hardware required. 
- Launch GPU Market Beta, enabling users to rent out idle GPU capacity. 
- Enable automatic AI task allocation and settlement. 
- Integrate AI inference workloads such as TTS, Embedding, and Whisper. 
Phase 3 — NeuroOS & Edge Cloud (Q3 2026)
- Release NeuroOS v1 — unified console with integrated DAO governance module. 
- Enable revenue visualization dashboard for nodes and contributors. 
- Launch node monitoring and task management features. 
- Introduce early DAO proposal and voting functionality. 
- Release the Edge Cloud Control Console, supporting one-click deployment for dCDN and inference tasks. 
- Integrate enterprise and developer account connections. 
Phase 4 — Developer Integration & Cross-chain Ecosystem (Q4 2026)
- Launch NeuroLink SDK / API Platform. 
- Provide CDN acceleration APIs and AI inference APIs. 
- Introduce smart contract and cross-chain settlement modules. 
- Allow developers to build decentralized applications directly on the NeuroBox Network. 
- Integrate monitoring and analytics tools (Analytics Dashboard). 
- Launch B2B API Gateway for enterprise customers. 
- Release Marketplace v1 for trading GPU, node, and task resources. 
- List $NBOX on major exchanges and launch the Ecosystem Development Fund. 
Phase 5 — Global Scaling & DAO Governance (2027)
- Expand to 100,000+ nodes worldwide. 
- Release NeuroOS v2, integrating cross-chain governance and AI-powered scheduling layer. 
- Implement automated task matching and predictive load balancing. 
- Complete the transition to full DAO community governance. 
- Establish global partnerships with telecom operators, AI platforms, and cloud providers. 
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