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

On April 14, 2026, DeAgentAI from the SUI and BNB ecosystems announced the AIA Ecological Fund, focusing on investments in the integration of "AI Agent + Physical AI".
The fund aims to incubate and accelerate AI applications with autonomous decision-making capabilities, extending AI technology from on-chain to the real world.
In the seed round, it invested in AliceAI, a predictive market system with verifiable decision-making that compresses fragmented information into immutable signals.
Another investment is in ASIC AI chips, optimized for Transformer inference to improve energy efficiency and reduce costs significantly.
DeAgentAI addresses core challenges like identity consistency and trust in AI Agents through its Minimum Entropy Consensus mechanism.

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, aiming to incubate and accelerate the next generation of AI applications with autonomous decision-making capabilities, and promote the extension of AI technology from on-chain intelligence to the real world.

Ecosystem Accelerator in 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 AI Agent infrastructure capabilities accumulated in 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 investee projects with comprehensive support in technology, traffic, and ecosystem resources.

The fund's core investment focus is on two major areas:

● AI Agent : An application-layer project 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.

Two major ecosystem projects have been established in the seed round.

Currently, the AIA Ecosystem Fund has completed strategic planning for two projects in the seed round:

AliceAI: An AI-driven predictive market decision-making system

In 2026, with deepfakes rampant and information noise extremely overloaded, simple predictions have lost their scarcity; "verifiable decision-making" is the gold standard of the AI era. AliceAI is not just a simple prediction tool; it uses a decentralized protocol to compress multi-source, fragmented, asymmetric information into a single, tamper-proof decision signal, covering scenarios such as crypto markets, sports events, political issues, and public events.

Through the lightweight Telegram Bot, AliceAI provides core functions such as signal push notifications, automated order 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 the core infrastructure of the prediction market sector.

ASIC AI chip

If the AI agent is the soul, then high-performance computing hardware is the body of physical AI. The current AI inference market is caught in a structural contradiction between explosive demand and soaring costs. General-purpose GPU architectures exhibit significant computational redundancy and energy consumption when facing large-scale Transformer inference workloads, and this bottleneck is becoming a core obstacle to the large-scale deployment of AI agents.

The ASIC AI chip project invested in by the AIA Ecosystem Fund features deep hardware-level customization tailored to the inference computing characteristics of the Transformer architecture. In terms of energy efficiency, the dedicated inference path design enables the chip to handle higher-density token throughput within the same power budget, aiming to reduce the unit 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 can make autonomous decisions more frequently and with lower barriers to entry in real time. The competition in the era of Physical AI is essentially a competition of computing power efficiency. The AIA Ecosystem Fund chose to intervene in the seed round based on this judgment: true AI democratization needs to start from the hardware layer and be reconstructed.

The founder of DeAgentAI stated, "The evolutionary path of AI is moving from a 'soul in a dialog box' to a 'body in the physical world.' The initial goal 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 within the SUI and BNB ecosystem. 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.