The next dark horse in the DeFAI track: How SynFutures disrupts DeFi with AI?

Author: Biteye Core Contributor Viee

With the explosive rise of AI Agents, the integration of DeFi and AI has gradually become a hot topic of discussion in the crypto industry. In the past, although DeFi brought financial freedom, high learning costs, cumbersome interaction methods, and security risks have always been the biggest obstacles to its widespread adoption. Now, the introduction of artificial intelligence is expected to fundamentally change this situation, making on-chain interactions as simple as conversations, optimizing trading logic intelligently, and even achieving "AI making money for you."

In this trend, SynFutures, as a veteran player in the DeFi space, plans to build a more intelligent DeFi ecosystem through AI Agents. From trading automation to strategy optimization, and to AI autonomous decision-making, SynFutures aims to make the DeFi experience smoother.

So, how does SynFutures plan to advance DeFAI? This article will delve into SynFutures' DeFAI roadmap and why it has the potential to secure a place in this field.

01 DeFAI: The Key to Restructuring DeFi

Smart contracts have made code the rule, removing intermediaries and improving efficiency. However, looking back at the development over the past few years, we must admit that DeFi is still some distance away from true intelligence.

Why? Because most DeFi protocols still have fixed rules and rigid strategies. The market changes rapidly, but the flow of funds on-chain remains slow, and often only a few advanced players can truly navigate this ecosystem. Not to mention that the complex operational thresholds deter many ordinary users. The introduction of AI is attempting to break this predicament.

What is the essence of DeFAI? In a nutshell: to let AI dominate decision-making in DeFi, making the flow of funds faster, more efficient, and more precise.

In the past, DeFi decisions mostly relied on preset rules, while the introduction of AI means more dynamic fund management. For example, interest rates in the lending market are no longer fixed, liquidity distribution is no longer one-size-fits-all, and even trading strategies can be automatically adjusted based on on-chain data. This is also why projects like Griffain and Aixbt have recently begun to attract market attention.

Let's look at an example: In traditional DeFi, users need to manually select assets and configure weights, while the algorithms of DeFAI can automatically generate the best strategies based on market conditions, user risk preferences, and on-chain and off-chain data. In other words, ordinary users only need to set their goals, and the rest is left to AI to execute.

AI can do much more than this; it can also enhance risk control capabilities, provide early warnings during market fluctuations, and even automatically adjust assets; automatic arbitrage and strategy execution keep users' assets in an optimal configuration. This is the potential of DeFAI: to make liquidity management smarter while lowering the barriers to using DeFi.

The current DeFAI ecosystem is still in its early stages, with many projects having limited AI capabilities, and some merely using simple automation scripts rather than true AI optimization algorithms. But this does not mean that this field has no future. Once AI achieves breakthroughs in on-chain data analysis, intelligent governance, and automated trading, DeFAI will become a key component of the DeFi market.

02 How Can AI Change DeFi? Starting with SynFutures' Trading Framework

SynFutures is a decentralized derivatives trading platform backed by top venture capital firms such as Pantera Capital, Polychain Capital, and Dragonfly Capital. It is committed to fully decentralizing on-chain futures, perpetual contracts, and other derivatives markets while lowering trading barriers, allowing any user to create and participate in the derivatives market. Currently, CEXs dominate the market, and most on-chain protocols are still at a stage of low capital efficiency and poor product experience. Since its establishment in 2021, SynFutures has continuously optimized the liquidity mechanism of on-chain derivatives through three product iterations, gradually building an open derivatives market system that combines permissionless market creation.

According to Defillama data, as of now, SynFutures has accumulated a trading volume of nearly $250 billion, ranking among the top three in the on-chain perpetual contract DEX space. The platform's fee revenue has exceeded $58.48 million, providing strong confidence support for attracting more developers, users, and projects, as well as sufficient funding for continued investment in AI.

However, compared to CEXs, decentralized trading still faces many barriers. New users find it difficult to understand trading logic, professional traders need to spend a lot of time analyzing the market, and complex cross-chain interactions deter many users. The introduction of AI may reshape the DeFi experience in the following ways:

• Automated trading execution ------ AI directly helps users complete on-chain operations, including cumbersome cross-chain processes.
• Intelligent market analysis ------ AI monitors market dynamics and pushes the best trading opportunities in real-time.
• Strategy optimization and personalized recommendations ------ AI combines user preferences and trading habits to provide personalized investment advice, which can be executed with one click.
• Cross-chain intelligent interaction ------ Managing assets across different chains through AI Agents, optimizing liquidity, and improving yields.
• SynFutures sees this trend and proposes a comprehensive AI-based DeFi interaction solution, building a Web3 AI framework driven by AI Agents.

03 SynFutures' AI Framework: Making DeFi Interaction as Natural as Conversation

From standalone AI Agent trading tools to an open AI Agent ecosystem, and ultimately evolving into Meta Agents with self-learning and creation capabilities, SynFutures plans to gradually advance the development of DeFAI in three stages:

Stage One: Standalone AI Agent, Similar to the Automated Trading Aixbt

The core value of combining AI technology with DeFi lies in lowering trading barriers and improving execution efficiency. Therefore, SynFutures first focuses on creating standalone AI Agents, concentrating on several core scenarios in DeFi, including trading, mining, and cross-chain transfers.

These standalone AI Agents can not only automatically execute trades but also help users filter the best trading opportunities and optimize investment strategies, significantly lowering the barriers to using DeFi, specifically including:

• Trading AI Agent Synthia: Capable of executing on-chain trades, including Swap, Bridge, and Transfer. Users only need to input their goals, and AI can complete all operations. Combined with SynFutures' Spot Aggregator, it supports cross-protocol trading, improving asset management efficiency.
• Intelligent Market Analysis Assistant (Alpha Hunter Agent): Monitors on-chain trading dynamics and filters out the most valuable trading opportunities, such as high-yield liquidity pools, arbitrage opportunities, and price anomalies. It automatically pushes trading signals based on AI algorithms and provides one-click trading functionality to enhance execution efficiency.
• AI Social Trading Assistant: Allows users to interact directly with AI on social media (Twitter, Discord), issuing trading instructions to achieve "one-sentence trading." AI can automatically generate market analysis and adjust trading strategies.

Stage Two: Open AI Agent Ecosystem, Referencing Virtuals and ElizaOS

As standalone AI Agent tools gradually mature, SynFutures' second stage will focus on advancing its Web3 AI Framework, aiming to enable more users and developers to create and customize their own AI Agents. This framework will become an open "AI Agent factory." Key upgrades will include:

• Open Developer Framework: Providing APIs/SDKs to facilitate developers' interaction with AI Agents for on-chain interactions, risk management, and other feature customizations.
• Visual No-Code Building Interface: Users can create AI Agents through drag-and-drop design without programming, lowering development barriers.
• Various Scenario Templates: Helping users quickly launch functions such as trading and asset management.
• Built-in Monetization Mechanism: Supporting token issuance, staking, airdrops, and other business models, bringing more profit opportunities to users.
• AI Agent Marketplace: Allowing users to trade agent templates, plugins, and data APIs, further promoting ecosystem development and innovation.

Stage Three: Meta Agents, Self-Generating AI Agents

With the arrival of the Meta Agents ecosystem, SynFutures will lead the self-generation and evolution of AI Agents in the third stage. Meta Agents will have the capability to autonomously create and manage AI Agents based on task requirements, fundamentally changing the way users interact with DeFi. Users will no longer need to manually select or configure AI Agents; instead, by setting goals, Meta Agents will automatically analyze and generate the most suitable agents for execution.

Moreover, multiple AI Agents will be able to collaborate to complete more complex tasks, such as automatically optimizing yields or portfolio strategies, and continuously self-learning and optimizing through reinforcement learning and feedback mechanisms, enhancing the effectiveness of strategies. The emergence of Meta Agents will significantly lower the barriers to DeFi operations and lay a solid foundation for the popularization of DeFi and the entry of a large number of users.

04 Analysis of the Competitive Landscape in the DeFAI Space: What Unique Advantages Does SynFutures Have?

Currently, there are several projects in the market attempting to introduce AI into the DeFi space, such as Griffain and Grift. In this field, various projects have different entry points. Some focus on trading functions, some lean towards building AI-driven DeFi applications, and others are trying to make AI a personal DeFi assistant for users. Each category carries different functions, driving the intelligent progress of DeFi:

Assistant-type DeFAI mainly focuses on simplifying DeFi operations, allowing users to express their intentions while AI Agents complete tasks such as trading and asset management. These products typically feature automated trading execution, wallet management, and even meme issuance. For example, some AI Agents are specifically designed for automating DCA (Dollar-Cost Averaging), staking, and yield optimization; while others focus on cross-chain interactions, searching for optimal strategies among hundreds of DeFi protocols, allowing users to avoid manually switching between different platforms.

Trading-type DeFAI is primarily used for automating trading decisions, such as optimizing DeFi investment portfolios based on historical market data. Some advanced AI Agents can even execute delta-neutral strategies, obtaining stable returns while avoiding risks. There are also market analysis-type AI Agents that function more like intelligent alpha-capturing tools, monitoring on-chain fund flows and trading trends, and using AI to predict market movements, helping users accurately capture investment opportunities.

Another category includes AI-driven dApps, which are not single-function AI Agents but complete decentralized applications, with AI Agents becoming a core part of their architecture. For instance, these AI dApps can help users automatically find the best deposit rates in the lending market, maximizing yields.

Compared to the aforementioned DeFAI projects, SynFutures has several significant differentiated advantages that make it more competitive in the market:

1. Strong DeFi Ecosystem Support: SynFutures has achieved excellent results in the Base ecosystem and derivatives market, with its market share and technical capabilities in the DeFi space far exceeding most AI+DeFi startups. Compared to newly entered competitors, SynFutures understands DeFi better and knows the real pain points of traders.

2. Open Framework for AI Agents: SynFutures plans to open its AI Agent development framework in the future, allowing users to customize their own AI Agents, making DeFi trading more personalized. AI Agents are not just tools for assisting trading but also personalized assistants that can grow and learn.

3. Severely Undervalued, High Growth Potential: Currently, SynFutures' FDV is only $320 million, compared to the FDV of $1.32 billion for competitors like Virtuals, indicating a significantly low valuation. As the market recognition of DeFAI continues to rise, SynFutures has greater potential for valuation recovery in the future.

4. Professional AI Team Support: In addition to its deep accumulation in the DeFi field, SynFutures has successfully attracted a group of professionals from the AI field over the past six months, creating a strong AI team that has published relevant research results in top journals. This interdisciplinary team, deeply engaged in cutting-edge technology, brings additional technical barriers to SynFutures, giving it an advantage in the competition within the DeFAI space.

05 Conclusion: Will AI Agents Become the Standard for DeFi Trading?

When AI trading can solve the complexity of DeFi interactions and possesses sufficiently strong intelligent trading capabilities, it is highly likely to become the standard for future DeFi trading. SynFutures is currently at the forefront of this field, not only holding a solid technical advantage in the DeFi space but also making steady progress in the implementation of DeFAI.

The era of DeFAI may be quietly approaching. It is foreseeable that the trend of DeFi trading will become more intelligent and automated in the future. With the momentum of DeFAI and its own advantages, SynFutures is expected to further expand its market share in the AI+DeFi ecosystem competition, becoming the next dark horse in this field.