Introduction

We’re pleased to officially announce that AINX has successfully closed a $2 million seed funding round, led by Alpha & Gamma, a firm specializing in the intersection of Web3 and artificial intelligence. The round was also supported by multiple angel investors from the AI and Web3 sectors.

“AINX represents a compelling paradigm shift. It not only brings AI into the Web3 domain, but also redefines the relationship between computing power and incentives. We are deeply impressed by the team’s ability to push technological boundaries and their long-term commitment to decentralized intelligence.”

— From AlphaGamma Ventures

Core Product: AI NodeX

Helioq NodeX is the foundational infrastructure of the AINX network — an already productized, intelligent edge device featuring:

• Verifiable Compute for proof-of-contribution
  
• GPU-accelerated AI task execution
  
• Federated Learning + Privacy-preserving mechanisms

• Plug-and-play with user autonomy, requiring no centralized provisioning to join the network

This round provides essential financial resources and reflects strong market confidence in AINX’s technical architecture, core product capabilities, and long-term strategic vision.
The proceeds will be used to:

• Launch and scale the Helioq NodeX product globally
  
• Expand international deployment and partnership channels

• Accelerate development of the decentralized AI ecosystem

Near-term priorities:

• Launch the NodeX testnet, providing an open validation and incentive environment for device users, model developers, and early node operators
  
• Release the first production batch of NodeX 100, enabling lightweight AI execution and edge computing onboarding

• Establish deep collaborations with DePIN projects, Web3 content platforms, blockchain games, and L1/L2 ecosystems to co-develop decentralized AI infrastructure

About AINX

AINX is a decentralized AI compute network powered by the Helioq Protocol. By combining edge computing, federated learning, and tokenized incentives, AINX enables anyone to train models, deploy AI agents, and monetize compute power — without relying on centralized platforms. Founded in 2023, AINX is on a mission to create a participatory, user-owned AI ecosystem for the world.

Website: https://ainx.io

Docs: https://ainx-io.gitbook.io/docs

Twitter: @ainx_io

Discord: https://discord.gg/ainx

Telegram: https://t.me/AINX_IO

Introduction

AINX has officially introduced NodeX 100, an edge-intelligent node device purpose-built for decentralized AI networks. It integrates lightweight local computing, standardized protocol interfaces, and task scheduling modules, while supporting complex model execution in collaboration with cloud GPUs.

Unlike traditional edge computing devices, NodeX 100 is not just a passive compute provider — it is a dedicated AI task execution endpoint for real-world deployments. It supports key workloads such as model inference, data preprocessing, multimodal generation, and federated learning.

In a participatory AI architecture, the absence of trustworthy, distributed, and verifiable task execution nodes would make true decentralization impossible. NodeX serves as the crucial physical anchor that makes this architecture a reality.

The Role of NodeX: A Task-Driven AI Node

In traditional Web3 networks, nodes mainly handle consensus or data storage. In decentralized AI networks, however, nodes have evolved into active task execution agents:

No longer just “passively syncing blocks” — NodeX actively executes AI workloads, generates results, and uploads proof-of-execution for on-chain validation.

NodeX is defined as a Task-Driven Node, with the following core capabilities:

• Task scheduling response: Responds to on-chain task requests with high availability;
• Local model execution: Runs lightweight AI models such as text generation or image analysis locally;
• Privacy-preserving data collaboration: Participates in anonymization and federated learning without uploading raw data;
• Cloud-edge compute coordination: Collaborates with cloud GPUs to execute compute-intensive tasks.

This makes NodeX the execution layer of the AINX network — not just a compute node, but an active AI task processor.

How NodeX Enables Trustworthy AI Collaboration

In the AINX network, the core of AI services is not simply “owning a model,” but “completing a task.” To be eligible for rewards, a task must:

• Be genuinely executed;
• Be externally verifiable;
• Have a complete record for traceability.

The Trusted Execution Mechanism of NodeX

1. Intelligent task scheduling + node response

NodeX receives tasks via the Helioq protocol and autonomously decides whether to execute locally or in collaboration with cloud infrastructure. Upon task completion, results and execution logs are validated by Checker nodes (specialized validators), which serve as the basis for reward distribution.

2. Federated learning and differential privacy

During task execution, NodeX does not transmit raw data. Instead, it contributes to model training via Federated Learning and applies Differential Privacy to enhance anonymity. All actions are recorded to ensure full traceability.

3. Behavior traceability and incentive alignment

Merely completing a task is not sufficient for earning rewards. The traceability of execution behavior and the alignment of incentives are critical. NodeX automatically records key behavioral data during each task — such as model calls, resource usage, response times, and node status — and matches them against the AINX network task system.

NodeX: The Economic Executor of AI Tasks

NodeX serves as the bridge between computing resources and on-chain incentives. It executes the logic of a task-based economy.

Three Economic Roles of NodeX

1. Executor: Earns BIT tokens for successfully completing AI tasks;

2. Validator: Runs Checker software to validate others’ tasks and earns additional rewards;

3. Processor: Participates in privacy-preserving model training without exposing raw data.

A single node can take on all three roles simultaneously, forming a closed loop of execution, validation, and collaboration.

Conclusion: NodeX as the Infrastructure for Decentralized AI

The essence of decentralized AI is not about decentralizing models — it’s about decentralizing task completion.

NodeX is not a plug-in or optional enhancement — it is the indispensable, hardware-based execution layer that anchors AINX’s decentralized AI network in the physical world.