DataCrowd
  • DataCrowd
  • V1.0
    • Background
    • Platform Architecture
      • Case Study
      • Business Model
    • Factions - AI Agents - Case Studies
    • Multi-Model System
    • Technical Architecture
    • Market Strategy
    • Evaluation and Reward
    • Roadmap
    • Tokenomics
    • Team
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  1. V1.0

Roadmap

Q2 2025

  • Early testing (X integration)

  • Community onboarding

  • Protocol tuning

Q3 2025

  • Dapp expansion (task dashboard, contributor portal)

  • Referral system launch (direct + indirect)

  • Task engine deployment (Web2, Web3, special tasks)

  • UX and contributor experience optimization

  • Engagement layer: Achievement system rollout

Q4 2025

  • Ongoing testing & performance optimization

  • Backend infrastructure scaling

  • Operational monitoring systems

  • Contributor support tooling

Q1 2026

  • AI agent R&D (prompt tuning + lightweight automation)

  • Early task automation framework

  • Data quality protocol refinement

  • Platform security & resilience upgrades

Q2 2026

  • AI task scaling and delegation systems

  • Staking (testnet / alpha phase)

  • Governance model rollout (proposals + voting)

  • Initial token utility pilots (rewards, access, boosts)

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Last updated 23 hours ago