Dear #BinanceSquareFamily readers, today we will talk about the cooperation between AITECH and FETCH.ai projects in the #Web3AI sector. The market is trying to move with $BTC , $BNB , $ALT price movements, #IsraelIranConflict echoes, #TrumpBTCTreasury news.
Solidus AI Tech, a company focused on high-performance AI infrastructures, took an important step earlier this month (June 2025) and announced a strategic partnership with Fetch.ai. As part of this collaboration, Fetch.ai's Web3-compliant large language model ASI-One has been integrated into Solidus' AITECH AI Marketplace platform. This collaboration aims to make decentralized AI applications more accessible, more scalable and more integrated.
1- What kind of technology does ASI-One LLM offer?
ASI-One, developed by Fetch.ai, is defined as the first agentive AI-specific large language model designed to work naturally with the Web3 ecosystem. Unlike general-purpose language models, ASI-One is optimized for the multi-step decision making, contextual understanding and secure processing required for autonomous software agents to operate in decentralized environments.
The main difference that distinguishes ASI-One from other decentralized AI models is that it uses a Mixture of Models (MoM) and Mixture of Agents (MoA) architecture. This three-tier structure “Foundational Layer (ASI-One Mini), Specialization Layer (MoM Marketplace) and Action Layer (Agents in the Agentverse)” offers 8x higher hardware efficiency by running on only 2 GPUs, unlike traditional LLMs. This makes it a specialized tool for tasks running on Web3.
ASI-One also has four different dynamic reasoning modes: Multi-Step, Complete, Optimized and Short Reasoning. This system automatically selects the most appropriate type of reasoning based on the complexity of the task, striking the optimal balance between both depth and efficiency.
2- How does this integration benefit AITECH AI Marketplace users?
No matter how powerful the technology is, it is only the use cases that show its true value. Here, ASI-One's integration with AITECH AI Marketplace is an important example. Through this integration, users can access advanced AI models in a decentralized environment. In particular:
- Lower extraction costs,
- Speed advantage for real-time tasks,
- And it offers practical benefits such as direct model access via API.
Community adoption of such integrations is also crucial. Indeed, #SocialMining platforms such as Solidus HUB, developed by @DAO Labs , provide an effective channel for the AITECH community to explore and disseminate these innovations.
However, our main focus here is not the addition of an LLM model to an AI marketplace, but how such models interoperate with modular and flexible AI infrastructures. This integration is a reference point not only for AITECH but also for the use of decentralized AI in similar markets.
3- What can we expect from this collaboration in the future?
In official statements, Fetch.ai and Solidus AI Tech will continue to collaborate on the development of interoperable structures. And what might these be?
- Opening up the ASI1 model to more diverse uses,
- Interoperability of agents on different infrastructures,
- And it can lead to developments such as the shared use of distributed computing resources (e.g. HPC data centers).
Furthermore, Solidus AI Tech's recently launched AgentForge platform demonstrates practical applications of this collaboration by offering pre-built and customizable AI agents. AgentForge gives users ample opportunities to streamline complex workflows and customize agent systems.
It is important to note that these structures have the potential to provide more accessible AI services not only to developers but also to enterprises and end users.
4- Why integration of external AI agents/tools with such collaborations is important for real world adoption of Web3?
Integrating an AI model with blockchain does not just mean running it on-chain. True integration means efficient processing, access to external data, multi-agent collaboration, and meaningful experience generation for the user.
This new approach, starting with ASI-One, could lead to a more organic fusion of the AI and Web3 worlds.
5- Where can you access ASI-One?
There are several access points for those wishing to experience the ASI-One LLM model:
- Direct ASI-One platform
- AITECH AI Marketplace
- AITECH AgentForge (Auto Deployment)
As a presentation, this journey is just beginning. The coming period will be shaped by which systems can work together and how sustainable these collaborations are.
