Roadmap & Milestones
Primary Roadmap
A structured rollout from hardware validation to full-scale deployment.

Milestone 1 — Foundational Build
Design Freeze (CAD Approved)
Dashboard Alpha v0.1.01
Pre-Order Registration Opened
Website Launch
Milestone 2 — Prototype & Activation
Prototype Validation
World Explorer Preview
Firmware v0.2.01
Retail Packaging Design Finalized
QR Device Setup & Activation Finalized
Milestone 3 — Pilot Production
Pilot Batch Ordered (5,000 Units)
ESD & Safety Packaging Validated
Firmware Secure-Key Injection Workflow
Burn-In Rack & Power-Cycling Tests
Software Load & Validation
Milestone 4 — Compliance & Testing
Lab Compliance Tests
Field Trials Begin
First Functional Devices Online
Certifications Secured (CE/RoHS)
Milestone 5 — Mass Production Kickoff
Mass Production Begins
Environmental Compliance Chains Finalized
Nodia Dashboard v1.0 Public Beta
Milestone 6 — Customer Rollout
Developer Portal Opens
Analytics Dashboard Available
First Customer Units Delivered
Customer Onboarding Complete
Volume Ramp to 10,000 Units
Milestone 7 — Global Launch
General Availability (GA) / Dashboard v1.0
Volume Ramp to 50,000 Units
Strategic Expansion Roadmap
Beyond initial hardware rollout — scaling decentralized AI compute into a global trustless mesh.
Phase I — Devnet & MVP Testing
Initial Solana Devnet deployment to simulate compute task lifecycle
Early zk-SNARK proof system testing for task validation
Dashboard Alpha with dummy tasks, rewards simulation, and operator registration
Operator onboarding via whitelisting and small-scale stress testing
Phase II — Pre-Orders & Firmware Preview
Launch global pre-order campaign for Core, Edge, and Atlas devices
Firmware previews with secure boot, local inference, and device metrics
Onboarding of regional operators for distributed firmware performance feedback
ESD-safe packaging, supply chain setup, and burn-in test validation
Phase III — Mainnet Launch & Operator Rewards
Solana Mainnet migration of dashboard, node registration, and compute processing
First live compute tasks: training, inference, video processing
Automated task rewards with staking multipliers and uptime bonuses
Operator leaderboard and community gamification begins
Phase IV — Smart City & Edge Infrastructure
Real-time traffic, pollution, and security monitoring with Core and Edge devices
Integration into public infrastructure: poles, intersections, and emergency nodes
Local inference with low latency and privacy-preserving model deployment
Edge mesh coordination across city blocks for synchronized compute
Phase V — Global Scaling & Distributed AI Training
Atlas clusters deployed in modular edge micro-data centers
Sharded model training using encrypted gradient sharing
zk-SNARK validation of local training without exposing raw data
Checkpointing, fault tolerance, and node replacement built-in
Phase VI — API Access and Developer Ecosystem
Launch of secure API gateway for submitting workloads, fetching node health, and querying task status
JavaScript and Python SDKs for integration into AI pipelines and applications
Real-time WebSocket event streams for live monitoring and task completion feedback
Webhook and CI/CD integrations for enterprise users and researchers
Phase VII — AI Marketplace and On-Chain Coordination
Launch of decentralized AI marketplace for model leasing and compute bidding
Reputation-based operator scoring and client-side SLA selection
Native NODIA token utility for task payments, staking, and governance
Interoperability with external toolchains and data workflows via open API access
Core Objectives (Across All Phases)
Ensure cryptographic proof-of-compute through zk-SNARKs for all workloads
Maintain a self-healing mesh that tolerates node churn without centralized fallback
Deliver fully automated, on-chain, token-based reward mechanics
Empower developers with robust SDKs, task submission pipelines, and real-time metrics
Guarantee edge-grade security through encryption, device attestation, and local isolation
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