5h ago
Multipli Series 8/Differentiation from Competing Projects: The Real Value of Multipli's AI-Based Strategy
As many of you may have already encountered, the combination of AI and DeFi is no longer a foreign concept.
There are already several projects in the market that utilize artificial intelligence to analyze data or provide automated trading strategies.
However, most projects remain at the level of using AI as an auxiliary tool.
Multipli @multiplifi is making a new attempt at DeFi automation through structural differentiation by setting AI as the core decision-making entity, unlike this general approach.
1. The Competitive Landscape of Multipli
Let's first look at the competitive landscape to see what new attempts are being made.
Currently, DeFi projects utilizing AI can be broadly categorized into four types.
First, data feed-type projects analyze external data to provide market signals. After that, the actual execution must be done by the user.
In this case, no matter how accurate the AI's judgment is, user behavior has a decisive impact on profits, so the level of automation is limited.
Second, automated bot-type models perform trading automatically according to predetermined rules. However, they have the limitation of needing to redesign new rules when market conditions change. Fixed algorithms struggle to keep up with rapidly changing markets.
Third, profit-sharing platforms aggregate the strategies of various traders and distribute them to users, but there is a problem with the opacity of the strategy validation process. Even if the returns are high, they often fail to provide reliable evidence.
Finally, there is the AI-operated structure that Multipli pursues. This method allows AI to perform the entire process from data analysis to strategy formulation, asset allocation, execution, and validation.
In other words, it aims for a fully autonomous structure where AI makes decisions without human intervention.
This approach is designed to enhance the completeness of DeFi automation by having AI involved even in the execution phase.
2. Pursuing Decision-Making AI Beyond Prediction
While most projects use AI as a "market analysis tool," Multipli sets AI as the decision-maker in asset management.
Thus, AI does not just interpret data, but directly judges "how to adjust the asset allocation," "which pool to move to," and "when to rebalance."
Through this structure, Multipli minimizes the core issue of DeFi, which is "human judgment errors and reaction delays."
By managing all users' assets with a consistent speed and logic, it eliminates investment deviations caused by emotions.
3. Multipli's Differentiation Point: Feedback Loop Structure
Another strength of Multipli is its data feedback loop structure.
Simply put, Multipli's AI reuses the results of its decisions as learning data.
For example, if a specific strategy yields returns below expectations, that failure data is used as input for the next model training.
By repeating this process, AI gradually secures higher adaptability.
Thanks to this cyclical structure, Multipli's AI evolves into a system that goes beyond "predicting based on the past" and adapts to market changes on its own.
4. The Combination of Technical Trust and Economic Transparency
In addition to its technical advantages, Multipli is also implementing a structure to ensure operational transparency.
All actions determined by AI are automatically executed by smart contracts, and all results and histories can be verified through on-chain data.
Additionally, $MULTI token holders can participate in governance votes to adjust AI model parameters or change fee structures.
In other words, it has implemented a dual-check structure where technical judgments are made by AI and institutional validations are handled by the community.
This allows for a reliable automated financial structure.
5. The Real Value of Multipli
Currently, Multipli focuses more on the yield fluctuations and risk management issues that DeFi users actually experience, rather than emphasizing flashy prediction models.
The goal of AI is not "more profit" but "more stable management." This is the foundational philosophy of Multipli.
In other words, Multipli can be seen as a "protocol that manages the market with AI" rather than a "project that invests with AI."
This point is the key differentiator between Multipli and AI DeFi projects centered on short-term trading.
4d ago
Multipli Series 7/Multipli Team and Partnership Structure: A Network Strategy for Building Trust
The sustainability of DeFi projects is significantly influenced not only by technological capabilities but also by the trustworthiness of the operational entities and their collaborative networks. Multipli recognizes this and has been building its ecosystem around transparency in team composition, external partnerships, and an audit system since the early stages of the project.
1. Team Structure/Technology-Centric Decentralized Operations
The Multipli team adopts a technology-centric team structure that is not based on a traditional centralized startup model but rather on roles that are separated. The main team composition is as follows:
AI & Data Team: Development of AI operational models and Smart Allocation algorithms
Smart Contract Team: On-chain execution modules and security checks
Product & UX Team: User interface and dashboard design
Community & Operations Team: Community management, partnership management, governance coordination
This structure aims to create a system where each function operates independently while being mutually verifiable.
2. External Audit System
To secure technical trust, Multipli has implemented a multi-layered security verification process.
External audit of smart contracts: Vulnerabilities are checked at the code level through external security firms.
AI model verification: Decision logs generated by AI strategies are made public to verify the consistency of results.
Risk management process: Designed to automatically halt AI decision-making in the event of specific market anomalies (e.g., sudden volatility expansion).
Such transparency-based verification procedures are expected to play a crucial role in establishing Multipli as a reliable financial infrastructure.
3. Partnership Network
Multipli does not operate its ecosystem in isolation. To expand the scope of AI-based asset management, it collaborates with partners from various fields. The main collaboration directions are as follows:
Data infrastructure partners: On-chain analysis and oracle integration
DeFi protocol linkage: Liquidity integration with major DEXs and Aggregators
Security and audit partners: Collaboration with external audit firms and risk analysis services
Marketing and community partners: Cross-project campaigns and user onboarding cooperation
This partnership structure will enhance Multipli's technical reliability while providing a crucial foundation for the diversity of data that the AI model can learn from.
4. Structural Design of Trust
The core of Multipli is the philosophy of "designing trust through code (Code-based Trust)." In other words, it relies on the transparency of data and algorithms as the basis for trust rather than human reputation (which is also a fundamental philosophy of blockchain). Decision-making is performed by the AI model, execution is handled by smart contracts, and verification is conducted by the community and external audits.
Through this three-step structure, Multipli creates an "operationally verifiable system."
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