DeAgentAI announces the establishment of the AIA Ecosystem Fund, focusing on the "AI Agent + Physical AI" track

April 14, 2026, SUI and BNB ecosystems’ leading decentralized AI infrastructure project DeAgentAI announced the establishment of the AIA Ecosystem Fund today. The fund will focus on the “AI Agent + Physical AI” integration track, dedicated to incubating and accelerating the next-generation AI application ecosystem with autonomous decision-making capabilities, 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 extension from a single infrastructure provider to an ecosystem investor role. Relying on DeAgentAI’s accumulated AI Agent infrastructure capabilities within the SUI, BSC, and BTC ecosystems, as well as the AlphaX product matrix with over 191 million on-chain interactions, the AIA Ecosystem Fund will provide comprehensive support in technology, traffic, and ecological resources for invested projects.

The fund’s core investment focus is concentrated 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 Laid Out Two Major Ecosystem Projects

Currently, the AIA Ecosystem Fund has completed strategic investments in two projects during the seed round:

AliceAI: AI-driven Predictive Market Decision System

In 2026, when deepfake proliferation and information noise are rampant, pure prediction has lost its scarcity; “verifiable decision judgment” is the new gold 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 crypto markets, sports events, political issues, and public incidents.

Using Telegram Bot as a lightweight entry point, AliceAI offers core functions such as judgment signal push, automatic copy trading, fixed-amount order placement, automatic stop-loss, and position visualization, completing the full cycle 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 a core infrastructure in the prediction market track.

ASIC AI Chips

If AI Agent is the soul, then high-efficiency hardware is the body of Physical AI. Currently, the AI inference market faces a structural contradiction between exploding demand and high costs. General-purpose GPU architectures exhibit significant computational redundancy and energy inefficiency when handling large-scale Transformer inference loads, and this bottleneck is becoming a core obstacle to large-scale deployment of AI Agents.

The ASIC AI chip project that the AIA Ecosystem Fund is investing in has been deeply customized at the hardware level for Transformer inference computation characteristics. In terms of energy efficiency, the dedicated inference path design allows the chip to handle higher token throughput at the same power budget, aiming to reduce the per-token processing cost to less than one-tenth of mainstream GPU solutions, while significantly lowering inference latency.

Lower inference costs mean that on-chain Agents can make autonomous decisions at higher frequencies and lower thresholds in real-time. The competition in the Physical AI era is fundamentally a competition of computational efficiency. The AIA Ecosystem Fund’s early-stage involvement is based on this judgment: true AI inclusiveness requires a hardware-level reconstruction.

DeAgentAI founder stated: “The evolution path of AI is shifting from ‘the soul in the dialogue box’ to ‘the body in the physical world.’ The original intention of the AIA Ecosystem Fund is to break down the boundaries between on-chain intelligence and physical reality. We are not just looking for good projects, but 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 trustworthiness, aiming to build a truly reliable on-chain AI intelligent ecosystem.