Roadmap

Axora AI ($AXORA) — Roadmap

Building a Zero-Identity Alpha Mining Network in Phases

AxoraAI follows a deliberately staged roadmap that prioritizes privacy integrity, capital safety, and intelligence quality over rapid expansion. Each phase builds cryptographic, economic, and operational foundations required for a fully autonomous human–AI alpha network.

Phase 1 — Foundation & Zero-Identity Infrastructure

Objective

Establish the core cryptographic and architectural primitives that enable anonymous human participation and AI aggregation.

Key Deliverables

• Zero-knowledge signal submission protocol

• ZK relayer network with timing & metadata obfuscation

• Human Intuition Signal schema (non-executable inputs)

• Initial AI swarm (signal normalization & noise filtering agents)

• $AXORA token deployment

• Signal staking & basic slashing logic

• Testnet signal submission dashboard

Milestones

• End-to-end anonymous signal flow proven on testnet

• Successful ZK validation of signal integrity without identity

• Initial Sybil resistance mechanisms live

Phase 2 — Alpha Extraction & Autonomous Execution

Objective

Convert aggregated human–AI intelligence into real, risk-controlled yield generation.

Key Deliverables

• Strategy synthesis AI agents

• Autonomous onchain execution agents

• DeFi arbitrage & volatility harvesting modules

• Risk envelopes, drawdown limits, and kill-switches

• Proof-of-Contribution (PoC) ZK reward distribution

• Mainnet launch with capped capital

Milestones

• First profitable strategies executed autonomously

• Anonymous reward distribution without attribution

• No strategy leakage or execution frontrunning

Phase 3 — Network Scaling & Intelligence Expansion

Objective

Expand AxoraAI into a multi-chain, multi-regime alpha network with increased intelligence density.

Key Deliverables

• Cross-chain execution (L2s & major ecosystems)

• Advanced regime detection & market-state classification agents

• Signal orthogonality & crowd-detection improvements

• Modular AI agent marketplace (permissioned initially)

• Capital efficiency optimization

• Governance activation (parameter-only control)

Milestones

• Consistent performance across multiple market regimes

• Reduced drawdowns via diversification

• Increased contributor participation without quality decay

Phase 4 — Fully Autonomous Alpha Network

Objective

Transition AxoraAI into a self-optimizing, minimally governed intelligence system.

Key Deliverables

• Self-adjusting AI swarm composition

• Automated capital allocation across strategies

• Dynamic risk adaptation per market regime

• Autonomous agent lifecycle management

• Long-term treasury & sustainability mechanisms

• Protocol hardening & cryptographic upgrades

Milestones

• Minimal human intervention required

• AI agents evolve strategy frameworks independently

• Long-term capital stability across cycles