On April 14, 2026, SUI and BNB's leading decentralized AI infrastructure project DeAgentAI announced the establishment of the AIA ecological fund today. 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, driving AI technology from on-chain intelligence into the real world.
Ecological Accelerator of the AI Era
The establishment of the AIA ecological fund marks DeAgentAI's strategic expansion from a sole 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 190 million on-chain interactions, the AIA ecological fund will provide comprehensive support in technology, traffic, and ecological resources to invested projects.
The core investment direction of the fund focuses on two key areas:
- AI Agent: application-level projects capable of autonomous decision-making, on-chain execution, and multi-agent collaboration;
- Physical AI: hardware infrastructure and computing power optimization projects that extend AI reasoning capabilities into the real world.
Seed Round Has Laid Out Two Major Ecological Projects
Currently, the AIA ecological fund has completed strategic layouts for two projects in the seed round:
AliceAI: AI-Driven Predictive Market Decision-Making System
In 2026, where deepfakes are rampant and information noise is extremely overloaded, simple predictions have lost their scarcity, and "verifiable decision judgments" have become the gold standard of the AI era. AliceAI is not merely a prediction tool; it compresses multi-source, fragmented asymmetric information into a single, tamper-proof decision signal through a decentralized protocol, covering scenarios such as crypto markets, sports events, political issues, and public incidents.
Through the lightweight entry point of Telegram Bot, AliceAI provides core functions such as judgment signal push, automated order execution, fixed amount ordering, automatic stop-loss, and position visualization, achieving a complete closed loop from "signal generation" to "automatic execution." The AIA ecological 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. Currently, the AI reasoning market is in a structural contradiction between explosive demand and high costs. General-purpose GPU architecture shows significant computational redundancy and energy efficiency loss when facing large-scale Transformer inference loads, and this bottleneck is becoming the core obstacle to the large-scale landing of AI Agents.
The ASIC AI chip project laid out by the AIA ecological fund is deeply customized at the hardware level to address the inference computing characteristics of the Transformer architecture. In terms of energy efficiency ratio, the design of dedicated inference pathways allows the chip to handle higher density token throughput under the same power consumption budget, aiming to reduce the unit token processing cost to below one-tenth of existing mainstream GPU solutions while significantly lowering inference latency.
Lower inference costs mean that on-chain Agents' autonomous decision-making can operate in real-time at higher frequencies and lower thresholds. The competition in the Physical AI era is essentially a competition in computing efficiency. The AIA ecological fund chose to intervene in the seed round based on this judgment: true AI democratization needs to be restructured from the hardware level.
The founder of DeAgentAI stated: "The evolution path of AI is transitioning from 'the soul in the dialog box' to 'the body in the physical world.' The original intention of the AIA ecological fund is to break the boundaries between on-chain intelligence and physical reality. We are not only looking for good projects but also '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 solves the three core challenges of identity consistency, state continuity, and result credibility faced by AI Agents in distributed environments, dedicated to creating a truly reliable on-chain AI intelligent body ecosystem.
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