Author: GunkanGunkan@messari.io · Research Analyst

Report Summary

• Edgen is a native AI-driven market intelligence platform designed to help traders gain institutional-level insights and seize high-value market opportunities. Edgen integrates blockchain data, social sentiment, and real-time insights.
• Currently, the platform's tools include Edgen Search (instant search), Radar (token radar), and Insights (crowd insights). Each module studies emerging narrative trends, monitors token movements, and produces high-value market insights.
• EDGM is Edgen's proprietary multi-agent orchestration system. EDGM dynamically routes user searches to the most relevant data streams, analytical agents, and large language models (LLMs), indexing the market to provide actionable market analysis.
• “Aura Farming” is an incentive system designed to reward users who generate and disseminate high-quality insights. Edgen awards “Aura” points based on users' contributions to system improvements and provides a transparent analyst rating to demonstrate their “Aura” level to others. These contributions help refine Edgen's orchestration layer, enhancing the platform's ability to prioritize, route, and contextualize the information users need.

Introduction

Everest Ventures Group (EVG) is a venture studio and technology company focused on building digital infrastructure in the cryptocurrency and artificial intelligence sectors. Headquartered in Hong Kong, the company has incubated over a dozen projects, including AspenDigital, T-Rex, Mugen, LiveArt, and the recent Edgen AI. The company was co-founded by AIIen Ng and Ruby Cheng, who have over seven years of collaboration at EVG, focusing on building scalable crypto-native applications for retail and institutional markets. EVG is committed to being a long-term builder of foundational platforms to enable new forms of ownership, coordination mechanisms, and intelligent paradigms.

Edgen is a project under EVG aimed at addressing the fragmentation of information in the crypto market, assisting retail investors in obtaining real-time, institutional-level market intelligence. The platform helps users analyze emerging trends and asset dynamics, uncovering actionable investment insights. Edgen serves as an information orchestration layer and application interface, integrating large language models (LLMs), agents, and real-time data streams to provide users with context-rich instant information.

Edgen AI

In today's crypto market, vast amounts of data are scattered across multiple sources, making it difficult to form informed decisions. Key information driving the market, such as token launches, protocol upgrades, liquidity changes, and narrative trends, is dispersed across various platforms like on-chain data, social media, and dashboards. Although this data is publicly available, its high fragmentation and lack of integration undoubtedly reduce users' analysis speed and decision-making efficiency.

Edgen addresses the data fragmentation issue through the synergistic interaction of three core dimensions: on-chain activity, social consensus, and AI-driven analysis. Currently, these three areas are not only evolving rapidly but also influencing each other in a nonlinear manner. Edgen refers to this complex interaction as the “three-body problem,” believing that neglecting any one dimension creates critical blind spots for traders and researchers.

To tackle this issue, Edgen has developed the Intelligent Decision Model (EDGM). As an AI orchestration system, it coordinates each user's search through modular tools, agents, and carefully curated data streams. EDGM transforms fragmented workflows into dynamic, context-aware processes that can provide timely and actionable insights based on market conditions and user behavior. The model is also continuously optimizing prompt structures, analytical results, and performance.

The platform's current features include Search (instant search), Radar (token radar), and Insights (crowd insights), serving as broader orchestration-based intelligent entry points. Each tool addresses a key issue in the flow of market signals:

• Instant Search: Search across on-chain data, news, and social sentiment
• Token Radar: Monitor market dynamics and identify early financial and social signals
• Crowd Insights: Curate predictions from top analysts validated by humans and AI

Aura Farming provides the core driving force for Edgen's collective AI layer. Users contribute to the system by training models and disseminating high-quality market insights, earning “Aura” points as a quantifiable proof of influence. These contributions will be used to continuously optimize Edgen's auxiliary models, enhance prediction accuracy, and build a decentralized historical record that transparently traces each participant's content contributions and time signals. Over time, this mechanism ultimately forms a positive feedback loop of collective intelligence: human users train AI, AI provides more accurate signals, thereby enhancing the intelligence level of the entire ecosystem.

Technical Architecture

The core architecture of Edgen employs the EDGM model, a multi-agent orchestration system that transforms the platform from a static research interface into a dynamic, modular, and composable intelligent engine. Unlike traditional models that rely on a single large language model to generate results, EDGM processes user searches through intelligently coordinated tools, agents, workflows, data streams, and large language models to provide real-time institutional-level market intelligence. Edgen's modular design ensures that it can adapt the best model based on the search or task, instantly integrating algorithmic breakthroughs from new models and modules without the need for retraining or significant system overhauls.

EDGM serves as a lightweight inference engine capable of intelligently detecting user intent, automatically matching the most suitable AI assistants and model protocol tools, and integrating the most relevant on-chain and social data. It optimizes output results across three dimensions: response speed, accuracy, and information relevance. Users simply need to input their search intent (e.g., “Analyze BTC technical trends” or “Explain the reasons for ETH's current rise?”), and EDGM will automatically parse and clarify user needs, dynamically optimizing the processing flow through the agent system and continuously self-improving.

Unlike traditional models that require frequent retraining, EDGM does not modify or fine-tune the underlying large language models. Instead, it focuses on improving inputs, optimizing search structures, and selectively utilizing analytical tools. Therefore, Edgen can achieve efficient scaling and automatically benefit from the continuously enhanced capabilities of the underlying large language models as new models and modules are added to the platform.

EDGM Multi-layer Architecture Background:

• Cognitive Layer: Hosts the core orchestration logic of EDGM, efficiently routing searches through Edgen's tools and proprietary data using a decentralized computing network (DeGPU).
• Agentic Layer: Drives AI assistants focused on specific tasks, such as macroeconomic trend analysis, wallet behavior monitoring, social sentiment tracking, or meme coin tracking.
• Execution Layer: Directly drives operations based on EDGM's analytical results, with core functions including portfolio rebalancing, strategy deployment, and automated trade execution.
• Data Layer: Generates customized analytical results based on user-specific inputs (such as portfolio composition, trading history, and social activity patterns), providing highly relevant insights.

When processing each search, EDGM dynamically activates the corresponding system layer by intelligently analyzing the intent and complexity of the instructions. Its breakthrough lies in adopting non-fixed paths, dynamically routing searches to generate relevant results.

Edgen Instant Search

Edgen Instant Search is a discovery engine that allows users to explore token dynamics, market narratives, and track analysis through commands. It can understand context and user intent, filtering out high-value results from the entire crypto space. Supported by EDGM, Edgen Instant Search serves as a universal intelligent layer, parsing questions through Edgen's multi-agent strategy to provide quick, relevant insights.

Edgen Token Radar

Edgen Token Radar is a real-time monitoring tool designed to track changes in token behavior, emerging narratives, and patterns across ecosystems and asset classes. By continuously acquiring market data, the Token Radar will highlight assets that are performing exceptionally well or deviating from normal activity.

Edgen Crowd Insights

Edgen Crowd Insights is a curated layer of market commentary that combines algorithmically filtered content with analyst opinions. This module aggregates high-value information posts, charts, and investment arguments, prioritizing them based on content relevance, interaction data, and user-defined interests, helping users interpret raw market signals. The filtered perspective accurately reflects current market momentum and sentiment shifts.

Crowd Insights content is published through social channels and initially filtered by Edgen AI. Selected content is further validated by the “Aura Farming” system. High-value contributors gain exposure and reputation for consistently producing high-quality predictions.

Aura Farming

Aura Farming is an incentive system designed by Edgen to coordinate community participation and support the development of the platform's AI. Its goals are clear: on one hand, it requires users to provide high-quality insights; on the other hand, it transforms these contributions into data to continuously optimize Edgen's intelligent layer.

Aura points are non-transferable reputation scores that quantify a user's contributions to the Edgen AI system. Users earn points by submitting valuable market insights or disseminating Edgen-related content. These points serve both as Proof of Training and Proof of Distribution, forming the foundational mechanism of Aura Farming.

Users can earn Aura points through the following two activities:

1. Train AI: Publish original, high-value market insights.
2. Distribute Content: Spread insights on external platforms to enhance reach and engagement.

This dual-track design cleverly transforms user participation into a feedback mechanism that strengthens model performance while expanding platform influence. As users contribute content or promote Edgen, the system learns, adapts, and expands its dataset. Over time, this process will create a self-reinforcing loop where the collective intelligence of the user community directly shapes the AI's output.

Aura Distribution Framework

Aura Points originate from a fixed prize pool, awarded to users who meet specific contribution criteria. The total prize pool consists of two main categories: distribution and training. Content in each category must undergo multiple rounds of AI and human review to determine the amount of point rewards. This process aims to ensure that only credible, high-quality contributions are rewarded. The eligibility for earning points is as follows:

• Distribution Pool (30%): Rewards users who successfully share impactful crypto insights via Twitter/X. Users must first link their Twitter/X profiles to the Edgen platform. Subsequently, posts must mention crypto tokens, tag the official @EdgenTech account, pass through the AI relevance filter, and achieve a specific display volume within 24 hours. This mechanism incentivizes effective information dissemination, helping Edgen enhance its native visibility.

• Training Pool (70%): Rewards original, high-value insight contributions to refine Edgen's AI model. Evaluation occurs in three layers:

1. AI Scoring: Automated detection verifies originality, token relevance, and writing quality. Only those meeting the minimum threshold proceed to subsequent reviews.
2. Community Scoring: Eligible content is rated by high Aura point users and reputable community reviewers. A normalization algorithm ensures the fairness and consistency of voting.
3. Expert Evaluation: Outstanding expert users perform the final selection, reviewing and optimizing top-quality content to ensure high standards. While this step is important, its weight is lower than community scoring.

Roadmap and Strategic Outlook

Edgen AI is in an active development phase, planning multiple features aimed at expanding the platform's utility. A formal timeline will be announced soon, with an initial AI assistant roadmap including:

• MacroDecoder: Provides concise macroeconomic dynamics, interpreting crypto market activities within a broader global trend context.
• Stocks Analyzer: Extracts actionable insights from traditional financial markets, bridging the cognitive gap between crypto and stock domains.
• Onchain Sniper: Monitors wallet activities and token flows in real-time, enhancing transparency and assisting tactical trading decisions.
• Technical Analysis: Offers structured technical analysis signals to aid pattern recognition and momentum tracking.
• Ecosystem Whisperer: Automates the summarization of on-chain activities, streamlining research processes and accelerating user workflows.
• Twitter Ghostwriter: Curates real-time social commentary, capturing emerging narratives and sentiment shifts across platforms.
• BS Generator: Balances signal value with community-driven content, reflecting cultural and informal elements in crypto discussions.
• TGE Detector: Identifies early projects and pre-issue tokens, helping users seize opportunities before widespread market acceptance.

In addition to individual features, Edgen's roadmap is guided by three long-term strategic principles: progressive decentralization, modular composability, and transitioning from a closed SaaS model to an open, permissionless intelligent layer. This strategic direction is reflected in two core infrastructure projects currently in development:

Edgentic Marketplace and Edgen AppChain.

Edgentic Marketplace

The vision of the Edgentic Marketplace is to build an open ecosystem that hosts AI-driven co-pilot agents and trading agents. It allows third-party developers and analysts to create custom modules based on the EDGM system and monetize them. These AI agents encompass automated execution bots, airdrop farming tools, or advanced analytical modules that integrate on-chain and social signals. The Marketplace will provide an SDK for seamless integration with external applications and decentralized frontends (DeFi Frontends). This solution supports broader ecosystem composability and creates new revenue streams for the community through Edgen's Agentic Stack.

Edgen AppChain

Edgen AppChain is a blockchain designed to support governance, reputation tracking, and composable infrastructure. It will record major user contributions and identity-related interactions (such as reputation changes) and is expected to support transaction execution and strategy coordination in future iterations. By operating on an independent chain, Edgen can implement tailored protocol logic to meet specific needs, such as permissionless access to Edgen's AI insights, on-chain governance modules, decentralized execution, strategy coordination, and gradually realized decentralized computing resources.

Conclusion

Edgen AI provides a systematic solution to the core challenges of fragmentation and overload of information in the crypto market across technical, social, and narrative layers. By integrating on-chain analysis, sentiment interpretation, and AI into a unified platform, it offers users more comprehensive and flexible tools to navigate complex market environments. The modular design of Edgen AI effectively reduces information asymmetry, making market insights that were previously primarily aimed at institutions or industry insiders more widely accessible to ordinary users.

The currently launched features (including instant search, token radar, and crowd insights) build an adaptive intelligent workflow that covers the entire process from early discovery to signal interpretation. Each module helps reduce noise in the market, accurately presenting timely and effective insights. Meanwhile, the introduction of Aura Farming enhances user engagement, tightly linking user incentives with platform performance, and continuously optimizing AI output through community contributions.

Edgen AI focuses its core architecture on data integration, user feedback, and result interpretability, providing a practical model that allows more users to conveniently access high-value market insights. In a context where the distribution of information advantages is highly uneven, Edgen AI is committed to bridging the information gap, enabling a broader user base to make decisions more efficiently and confidently.

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