Roadmap & Future Vision
EdgeMob is being developed in progressive phases to balance near-term deliverables with long-term innovation. The roadmap is structured to ensure early adoption by developers while steadily evolving toward a fully decentralized, large-scale AI compute ecosystem.
Phase 1: Foundation (Present)
Launch of the EdgeMob mobile app for Android and iOS.
Local model loading and inference with localhost API exposure.
Centralized API Gateway for stable routing.
Initial EGMO token integration for basic rewards and payments.
Phase 2: Expansion
SDKs and libraries for Web2 and Web3 developers.
Model registry for publishing and sharing open-source and custom models.
Support for background batch processing and lightweight fine-tuning.
Enhanced developer tools (CLI, monitoring dashboards).
Phase 3: Decentralization
Transition from centralized API Gateway to decentralized routing using WebSockets and Solana smart contracts.
Staking-based participation for node operators with reputation scoring.
Marketplace monetization for models and premium workloads.
Privacy-first federated learning pilots.
Phase 4: Distributed AI Cloud
Fully decentralized AI compute network leveraging billions of smartphones.
Large-scale distributed LLM execution with SLA improvements.
Federated retraining and collaborative model evolution.
Integration with multi-agent ecosystems via MCP servers.
Long-Term Vision
Position EdgeMob as the default AI compute layer for mobile devices globally.
Enable enterprises, dApps, and consumer apps to access AI without reliance on centralized GPU clouds.
Unlock offline, privacy-preserving, and low-cost AI infrastructure at planetary scale.
The roadmap illustrates a clear progression: start with developer-first tooling, expand through decentralized coordination, and culminate in a global mobile AI cloud. EdgeMob’s long-term vision is to redefine how AI is delivered—democratizing access through the untapped compute power of billions of smartphones.
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