DeAgentAI announced the establishment of the AIA Ecological Fund, focusing on the "AI Agent + Physical AI" track
On April 14, 2026, SUI and BNB ecosystem's leading decentralized AI infrastructure project DeAgentAI announced the establishment of the AIA Eco Fund. This fund will focus on the "AI Agent + Physical AI" integration track, dedicated to incubating and accelerating the next generation of AI application ecosystems with autonomous decision-making capabilities, promoting the extension of AI technology from on-chain intelligence to the real world.
Ecological Accelerator in the AI Era
The establishment of the AIA Eco Fund marks DeAgentAI's strategic extension from a single infrastructure provider to an ecological investor role. Leveraging DeAgentAI's accumulated AI Agent infrastructure capabilities in the SUI, BSC, and BTC ecosystems, as well as the AlphaX product matrix with over 191 million on-chain interactions, the AIA Eco Fund will provide comprehensive support in technology, traffic, and ecological resources to the projects it invests in.
The fund's core investment direction focuses 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 reasoning capabilities to the real world.
Seed Round Has Laid Out Two Major Ecological Projects
Currently, the AIA Eco Fund has completed strategic layouts for two projects in the seed round:
AliceAI: AI-Driven Predictive Market Decision System
In 2026, where deepfakes are rampant and information noise is extremely overloaded, mere predictions have lost their scarcity; "verifiable decision judgments" are the gold standard in the AI era. AliceAI is not just a simple prediction tool; it compresses multi-source, fragmented asymmetric information into a single, tamper-proof decision signal through a decentralized protocol, covering scenarios such as cryptocurrency markets, sports events, political issues, and public events.
Through the lightweight entry of a Telegram Bot, AliceAI provides core functions such as judgment signal push, automatic order execution, fixed amount ordering, automatic stop-loss, and position visualization, achieving a complete closed loop from "signal generation" to "automatic execution." The AIA Eco Fund is optimistic about the new paradigm of "verifiable judgment" pioneered by AliceAI, believing it has the potential to become the core infrastructure of the predictive market track.
ASIC AI Chips:
If AI Agent is the soul, then efficient computing hardware is the body of Physical AI. The current AI reasoning market is in a structural contradiction of explosive demand and high costs. General-purpose GPU architectures exhibit significant computing power redundancy and energy efficiency loss when facing large-scale Transformer reasoning loads, and this bottleneck is becoming a core obstacle to the large-scale implementation of AI Agents.
The ASIC AI chip project laid out by the AIA Eco Fund is deeply customized at the hardware level for the reasoning computation characteristics of the Transformer architecture. In terms of energy efficiency, the design of dedicated reasoning paths allows the chip to handle higher density token throughput under the same power consumption budget, aiming to compress the unit token processing cost to less than one-tenth of existing mainstream GPU solutions while significantly reducing reasoning latency.
Lower reasoning costs mean that on-chain Agents' autonomous decision-making can operate in real-time at a higher frequency and lower threshold. The competition in the Physical AI era is essentially a competition of computing efficiency. The AIA Eco Fund's choice to intervene in the seed round is based on this judgment: true AI democratization needs to start with a reconstruction at the hardware level.
The founder of DeAgentAI stated, "The evolutionary path of AI is transitioning from 'the soul in the dialogue box' to 'the body in the physical world.' The original intention of the AIA Eco Fund is to break the boundaries between on-chain intelligence and physical reality. We are not just looking for good projects; we are looking for 'key protocols' that can connect users with 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 addresses the three core challenges faced by AI Agents in distributed environments: identity consistency, state continuity, and result credibility, aiming to create a truly trustworthy on-chain AI intelligent body ecosystem.
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