Alibaba and Saudi Telecom are both using AI brain layers! The last science popularization before Allora TGE! An old strength project that is about to become TGE - Allora @ AlloraNetwork. It has been working on it since 2019, raising $35 million (top institutions such as Polychain, Framework, Delphi Digital have all contributed), making it a veteran of AI Infra. Recently, it is about to welcome TGE, so taking this opportunity, I want to take you to understand what Allora is, what it is used for, and why it can stand firm in the hot tracks of Web3 and AI. ◾ What is Allora? Simply put, it does not create AI, but rather "commands" a group of AI Allora's positioning is very interesting. It is not developing a super powerful AI model on its own, but building a decentralized "Model Coordination Network" (MCN). This may sound a bit academic, but let's rephrase it: Allora is like an AI "commander-in-chief" that brings together thousands of existing machine learning models, allowing them to work together around a goal and ultimately provide a smarter and more reliable answer than a single model. Imagine you have to predict the weather for tomorrow. Traditional AI is about finding a model, letting it calculate on its own, and then giving you a result. But what about Allora? It will convene a "roundtable meeting" with a group of models, some skilled in observing wind direction and others skilled in analyzing rainfall probability, to discuss together and ultimately vote for the optimal solution. This "brainstorming and collaboration" approach not only produces more accurate results, but also avoids the situation of individual models guessing blindly (professionally known as "AI illusion"). So, Allora's slogan can be: "The brain layer of AI" or "The commander of AI agents". It does not work on its own, but stands at a higher level, scheduling the overall situation and empowering applications that require intelligent decision-making. Does it sound a bit like Chainlink in the data world in Web3? That's right, there are quite a few similarities between these two, let's talk more about them later. ◾ Core Function: Reasoning Synthesis+Decentralized Collaboration The core technology of Allora is called "inference synthesis", which simply means integrating the outputs of multiple models to generate a more powerful final result. By combining cutting-edge research in performance prediction, peer prediction, and regret minimization, we ensure that the entire process is both efficient and secure, while also protecting data privacy - which is a major sub item in Web3. For example, if you want to create an automated trading strategy in DeFi, the market volatility is so high that relying solely on a model can easily lead to a failure. Allora can help you gather a bunch of models, analyze market trends in real time, predict trends, and finally provide a "collective wisdom" suggestion to your trading agent. This not only increases the yield, but also reduces the risk. At present, Allora's testing network has become very mature. At present, it has generated 692 million intelligent inferences, with 288000 models participating, covering more than 55 task topics. The community also has over 200000 Discord members, what does this data indicate? Allora is not just a concept, but something is actually being implemented, and network effects have already emerged. ◾ Application scenarios: From DeFi to enterprises, all in intelligent decision-making (Allora has a wide range of application scenarios, introduce several typical ones) DeFi and the Prediction Market The most eye-catching case is the AI trading agent Pauly, which is a collaboration between Allora and Robonet. This little guy predicted the US presidential election on Polymarket, but faced with the complex situation of candidate withdrawal and market volatility, he remained stable. I earned a 13.79% return in 3 months, with an annualized APY of up to 67.65%, directly outperforming the market. This relies on Allora's model coordination network, which aggregates multi-party predictions in real-time and provides Pauly with super strong "intelligent brain support". Recently, progress has been made in AI driven transactions on the Solana blockchain, with platforms like Vectis Finance utilizing tools such as Allora to optimize returns, and an annual interest rate of 23.95% reflecting the growing trend of decentralized finance (DeFi) platforms using real-time AI predictions to adapt to volatile crypto markets. As of June 2025, according to CoinMarketCap data, there has been an increase in interest in AI driven DeFi solutions in the broader cryptocurrency market, thanks to a 15% growth in Solana based projects this year. The collaboration between Allora and Cod3x highlights a growing trend in decentralized finance, where AI driven trading agents like Big Tony are gradually gaining attention. The market volatility at the beginning of 2025 highlights the need for tools to improve trading accuracy, which is consistent with Big Tony's performance results. The integration of Allora and Cod3x's v2 launch platform aims to empower users to build intelligent agents, built on the noise of AI innovation in blockchain, thanks to the investment of major technology companies in similar technologies. Web3 Games and NFTs Imagine in future NFT games, the decision-making of characters will not rely on a single AI, but will be controlled by Allora scheduling a group of models. Fighting monsters, upgrading, and trading can all be smarter and more in line with player needs. Enterprise Application Allora has already established partnerships with major companies such as Saudi Telecom, Alibaba, Asahi TV, Exaion of France Electric, and even Amazon AWS. Enterprises can use it to optimize their supply chain, predict market demand, and even make more accurate advertising placements. Decentralization and high-precision intelligence are attractive to traditional companies.