DeAgentAI Announces Establishment of AIA Ecosystem Fund, Focusing on the "AI Agent+Physical AI" Track
- Core Viewpoint: DeAgentAI, from the SUI and BNB ecosystems, has announced the establishment of the AIA Ecosystem Fund. It aims to promote the extension of AI applications with autonomous decision-making capabilities from on-chain to the real world by investing in, incubating, and accelerating projects that integrate "AI Agent + Physical AI".
- Key Elements:
- The fund is initiated by DeAgentAI, leveraging its AI Agent infrastructure and the AlphaX product matrix with over 191 million on-chain interactions to provide technical, traffic, and ecosystem support for projects.
- The core investment focus is on AI Agent applications with autonomous decision-making and on-chain execution capabilities, as well as Physical AI hardware and computing power projects that extend AI inference capabilities into the real world.
- The fund has already made seed-round investments in two projects: AliceAI (a decentralized prediction system providing verifiable decision judgments) and an ASIC AI chip project optimized for the Transformer architecture.
- This ASIC chip project aims to reduce the per-token processing cost to less than one-tenth of mainstream GPU solutions through hardware customization, thereby lowering the inference cost and latency for AI Agents.
- The underlying technological foundation of DeAgentAI is its self-developed Minimum Entropy Consensus mechanism, designed to address the challenges of identity, state, and result credibility for distributed AI Agents.
On April 14, 2026, SUI and DeAgentAI, a leading decentralized AI infrastructure project in the BNB ecosystem, announced the establishment of the AIA Ecosystem Fund. This fund will focus on the "AI Agent + Physical AI" convergence track, dedicated to incubating and accelerating the next generation of AI application ecosystems with autonomous decision-making capabilities, and promoting the extension of AI technology from on-chain intelligence to the real world.
Ecosystem Accelerator for the AI Era
The establishment of the AIA Ecosystem Fund marks DeAgentAI's strategic expansion from a single infrastructure provider to an ecosystem investor. Leveraging DeAgentAI's accumulated AI Agent infrastructure capabilities within the SUI, BSC, and BTC ecosystems, along with the AlphaX product matrix with over 191 million on-chain interactions, the AIA Ecosystem Fund will provide comprehensive support in technology, traffic, and ecosystem resources to its portfolio projects.
The fund's core investment focus is on two major areas:
- AI Agent: Application-layer projects with autonomous decision-making, on-chain execution, and multi-agent collaboration capabilities;
- Physical AI: Hardware infrastructure and computing power optimization projects that extend AI inference capabilities into the real world.
Seed Round Already Invests in Two Ecosystem Projects
Currently, the AIA Ecosystem Fund has completed strategic investments in two projects during its seed round:
AliceAI: AI-Driven Prediction Market Decision System
In 2026, a year plagued by rampant deepfakes and extreme information noise overload, mere predictions have lost their scarcity; "verifiable judgment" is the new gold standard of the AI era. AliceAI is not a simple prediction tool. It compresses multi-source, fragmented asymmetric information into a single, immutable decision signal through a decentralized protocol, covering scenarios such as crypto markets, sports events, political issues, and public events.
Using the Telegram Bot as a lightweight entry point, AliceAI provides core functions including judgment signal push, automatic copy-trading execution, fixed-amount order placement, automatic stop-loss, and position visualization, achieving a complete closed loop from "signal generation" to "automatic execution." The AIA Ecosystem Fund is optimistic about the new paradigm of "verifiable judgment" pioneered by AliceAI, believing it has the potential to become core infrastructure in the prediction market track.
ASIC AI Chip:
If AI Agent is the soul, then efficient computing hardware is the body of Physical AI. The current AI inference market is caught in a structural contradiction between exploding demand and high costs. General-purpose GPU architectures face significant computational redundancy and energy efficiency losses when handling large-scale Transformer inference workloads, a bottleneck that is becoming a core obstacle to the large-scale adoption of AI Agents.
The ASIC AI chip project invested in by the AIA Ecosystem Fund has undergone hardware-level deep customization targeting the computational characteristics of Transformer architecture inference. In terms of energy efficiency ratio, the design of dedicated inference pathways enables the chip to handle higher-density token throughput under the same power budget, aiming to compress the per-token processing cost to less than one-tenth of existing mainstream GPU solutions while significantly reducing inference latency.
Lower inference costs mean that on-chain Agents' autonomous decisions can run in real-time with higher frequency and lower barriers. The competition in the Physical AI era is essentially a competition in computing efficiency. The AIA Ecosystem Fund's decision to intervene at the seed round is based on this judgment: true AI democratization requires reconstruction starting from the hardware layer.
The founder of DeAgentAI stated: "The evolutionary path of AI is progressing from 'a soul in a dialog box' to 'a body in the physical world.' The original intention of the AIA Ecosystem Fund is to break the boundary between on-chain intelligence and physical reality. We are not just looking for good projects; we are looking for the 'key protocols' that can connect users to the future physical AI world."
About DeAgentAI
DeAgentAI is a leading decentralized AI infrastructure in the SUI and BNB ecosystems. Through its self-developed Minimum Entropy Consensus mechanism, DeAgentAI fundamentally addresses the three core challenges faced by AI Agents in distributed environments: Identity consistency, State continuity, and Result credibility. It is committed to building a truly trustworthy on-chain AI agent ecosystem.
