> For the complete documentation index, see [llms.txt](https://insightx-2.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://insightx-2.gitbook.io/whitepaper/insightx-whitepaper/8.-development-roadmap.md).

# 8. Development Roadmap

InsightX's development roadmap is divided into four phases, clearly outlining its evolution from mainnet launch to becoming the InfoFi industry infrastructure. Each phase is guided by technology implementation, user growth, and ecosystem expansion, and deeply collaborates with high-performance EVM ecosystems such as Mantle.

{% stepper %}
{% step %}

### 2026 Q1–Q2: Infrastructure Development and Mainnet Launch 

* Mainnet Launch (Mantle First Release)
* Core prediction market functionality launched
* AI Yield Architecture Fully Activated
* First batch of AI Agents deployed and liquidity initialized
  {% endstep %}

{% step %}

### 2026 Q3–Q4: Feature Expansion and Ecosystem Acceleration 

* Position Restaking and a Unified Margin Framework
* Transaction mining and liquidity incentive programs
* Multi-category prediction market fully open (covering long-tail events)
* Enhanced cross-chain execution capabilities
  {% endstep %}

{% step %}

### 2027: AI Native Capabilities and Institutional-Grade Services 

* AI-powered market maker network is fully mature.
* Enhanced ecosystem benefits (more RWA integration with derivatives)
* Institutional Services and Compliance Module Launched
* Multi-chain expansion has been initially implemented.
  {% endstep %}

{% step %}

### 2028+: Industry Standards and Full Decentralization 

* Develop InfoFi industry standards and asset registration specifications
* Comprehensive DAO governance implementation
* Building a Global Ecosystem Partner Network
* Continuous technological and product iterations have become the core infrastructure of blockchain-based information finance.
  {% endstep %}
  {% endstepper %}

The roadmap will be dynamically optimized based on community governance and market feedback to ensure that every step serves user value and the long-term healthy development of the ecosystem.


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