10. Roadmap & Development Plan

Origyn's development roadmap spans two years to production maturity, followed by long-term ecosystem scaling.

The phased approach prioritizes infrastructure over features: smart contracts and core tooling first, platform integrations second, enterprise capabilities third. Each phase targets concrete milestones rather than aspirational goals.

10.1 Phase 1: Core Protocol Launch (Months 1-6)

Infrastructure

Smart contracts deploy to Ethereum L2 (Arbitrum or Base) for low gas costs with Ethereum security.

Security audits from OpenZeppelin or Trail of Bits precede mainnet launch. The ModelRegistry, RoyaltyDistributor, and ValidatorStaking contracts undergo formal verification where possible, with particular attention to royalty calculation logic and validator slashing conditions.

Tooling

CLI tool ships in Month 4: origyn register, origyn lineage, origyn claim.

Python SDK (v0.1) enables programmatic access. Minimal web UI provides registration forms and lineage graph viewer for non-technical users who prefer browser interfaces to command-line tools.

Milestones

• Month 1: Testnet deployment

• Month 2: Security audit completion

• Month 3: Mainnet launch

• Month 4: CLI and SDK release

• Month 5: 20-50 validators onboarded

• Month 6: 1,000 models registered

Community Building

Discord and Telegram launch at testnet.

Documentation site (docs.origyn.xyz) provides tutorials and API references. Airdrop campaign rewards first 1,000 registrants, bootstrapping network effects through early adopter incentives.

10.2 Phase 2: Platform Integrations (Months 6-12)

Integration Targets

HuggingFace (Month 7): CLI integration for automatic registration during model upload. Browser extension adds "Register on Origyn" buttons to model pages.

MLflow (Month 8): Plugin package (origyn-mlflow-plugin) for Databricks users. Single configuration line enables automatic registration.

Weights & Biases (Month 9): Webhook integration for opt-in registration when artifacts reach production status.

DVC (Month 9): Git hooks trigger registration during git push for version-controlled models.

Enhanced Discovery

Web UI v2 (Month 10) adds search and filtering.

Query by lineage ("descendants of GPT-2"), license type (Apache-2.0, MIT), compliance status, royalty rate. Analytics dashboard shows creators their derivative graph, projected royalties, and adoption metrics.

Network Growth

Validator count expands to 100 nodes with geographic distribution.

Enterprise pilot programs (3-5 companies) validate compliance use cases in regulated industries.

Milestones

• Month 10: Web UI v2 launch

• Month 11: 10,000 models registered (10x Phase 1)

• Month 12: 5 enterprise pilots active

10.3 Phase 3: Zero-Knowledge Privacy (Months 12-18)

ZK-SNARK Infrastructure

Circuit design in Circom creates three initial proof templates.

GDPR compliance attestation: Prove training data came from consented sources without revealing data origins.

Dataset source verification: Prove dataset X came from approved registry Y without exposing which registry.

Parameter bounds proof: Prove model has fewer than N parameters without revealing exact count.

ZK-proof generation tool (CLI and SDK) runs locally, maintaining data sovereignty. Creators generate proofs on their infrastructure, publish to IPFS, register CIDs on-chain.

Enterprise Compliance Dashboard

Launches Month 16 with regulatory-ready reporting.

PDF exports for audits. Lineage graphs annotated with compliance flags. ZK-proof verification history. Premium tier (5,000 $ORIGYN locked for one year) unlocks advanced analytics, higher API rate limits, priority support.

Milestones

• Month 13: ZK circuit design complete

• Month 14: Beta proof generation tool

• Month 15: First ZK-proof verified on-chain

• Month 16: Compliance dashboard launch

• Month 17: Premium tier launch

• Month 18: 5 enterprise clients using ZK-proofs

Target industries: healthcare AI (HIPAA/GDPR), financial services (SOC 2/PCI-DSS), government agencies (sensitive data provenance).

10.4 Phase 4: Enterprise Maturity (Months 18-24)

Regulatory Automation

EU AI Act compliance generator (Month 19): Automated Article 11 (technical documentation), Article 13 (training data), Article 12 (record-keeping) reports. Export audit-ready PDFs in minutes instead of weeks.

Regulatory APIs (Month 20): Government agencies query the registry directly for market surveillance (Article 63) without manual FOIA requests.

Advanced Analytics

Interactive DAG visualizations with zoom, filter by derivation type, highlight compliance paths, export subgraphs.

Enterprise SLAs guarantee 99.9% uptime. White-label options (Tier 3 premium) allow large enterprises to deploy Origyn-branded internal compliance portals.

Decentralized Governance

DAO launches Month 23.

Token holders vote on registration fees, royalty parameters, validator requirements, treasury allocation. Multi-sig oversight phases out, achieving full community control by Month 24.

Milestones

• Month 19: EU AI Act report generator

• Month 20: Regulatory APIs

• Month 21: 50,000 models registered

• Month 22: $100K cumulative royalties distributed

• Month 23: DAO governance launch

• Month 24: 10 enterprise clients, 500 validators

10.5 Long-Term Vision (Years 2-5)

Years 2-3: Multi-Chain Expansion

Polygon, Avalanche, other EVM-compatible chains.

Cross-protocol interoperability via bridge contracts. Mainstream ML platform integrations: Databricks, Snowflake, AWS SageMaker. Target: 100,000+ models registered, $1M+ annual royalties.

Years 3-5: Foundational Infrastructure

Full DAO governance with community control.

Global regulatory coverage: US federal AI regulation, China algorithm regulation, EU AI Act maturity, UK post-Brexit frameworks. Model marketplace integration enabling buying/selling with automatic royalty distribution to ancestors.

Target: 1 million models registered.

Vision Statement

"Origyn becomes the universal lineage layer for AI, as fundamental as Git for code and DNS for the internet."

Git transformed software collaboration by making version history transparent and composable.

DNS made the internet navigable by providing human-readable names for machine addresses. Origyn provides the same foundational utility for artificial intelligence: transparent lineage, composable attribution, universal discoverability.

Success means invisibility.

Origyn becomes an assumed layer beneath AI development, checked as reflexively as version control. Infrastructure, not application. The protocol disappears into workflows, leaving only provenance as its trace.