Platform
Axis.ONE is a unified platform for industrial AI.
It connects field devices, edge computing, data and AI capabilities within a single environment, enabling seamless deployment and operation across industrial sites.
Axis.EDGE brings specialized AI services to the field, Axis.LOOP connects field operations and the core through a continuous cycle of learning and improvement, and Axis.CORE provides centralized AI operations, management and control on-premises.
- CPU-native inference on Intel architecture (CPU · NPU · xPU)
- Docker-based, containerized AI services per edge node
- 100% on-premise — operates in air-gapped, closed networks
- Open and vendor-agnostic (ROS2), heterogeneous-device orchestration
Technical Architecture
Breaking the four barriers with
a Docker-based single architecture.
Each Axis.EDGE node runs containerized AI services next to the field devices. A shared data bus connects every node to the on-premise Axis.CORE, while Axis.LOOP and Axis.MIMIC keep the models learning from real operations.
Axis.EDGE
Axis.CORE
- Manageability
- UI/UX dashboard
- AIOps & AI training
- DB / data storage
- LLM service
- Resource management
- Orchestration
- OTA updates
- Integrates heterogeneous system terminals
- Covers AI data capture through training and deployment
- Flexible Axis.EDGE plug-ins and hardware replacement
- Controls new model development and software upgrades
- Easy installation with minimal time to operation
Component Reference
Every component, one system.
Axis.EDGE AI at the field
Axis.EDGE runtime
Edge-side application that deploys and operates specialized AI services close to field devices.
Vision.ONE
Provides vision AI for inspection, monitoring and intelligent operations in manufacturing environments.
Safe.ONE
Combines multimodal data channels to detect, analyze and respond to safety-related events in real time.
Robo.ONE
Enables AI-powered perception and intelligent control for robotic systems and automation.
Assist.ONE
Provides LLM-powered intelligent assistance using voice, language and contextual information.
Cameras · PCs · Robots
Existing industrial PCs, cameras, sensors and robots already installed on-site.
Axis.LOOP / Axis.MIMIC Continuous learning
Axis.LOOP
Connects field operations and core intelligence through a continuous cycle of learning and improvement.
Training & retraining
Trains and retrains AI models using data collected from field devices, then deploys the optimized models back to the devices.
Axis.MIMIC
Industry-specialized VLA (vision-language-action) engine that learns robot tasks from demonstration.
OTA updates
Remotely distributes improved AI models, bug fixes and software updates from the central system to field devices.
Axis.CORE Centralized control, on-premise
Axis.CORE
On-premises server that provides core services for operating and managing the Axis.ONE platform.
Resource management
Allocates hardware resources according to workload requirements, optimizing utilization across the system.
DB / data storage
Stores manufacturing data generated during operation, including production statistics and AI inference results.
Unified dashboard
Monitor AI services, system status and operational data through a unified environment.
LLM service
On-premise LLM service for agentic assistance — no data leaves the closed network.
Manageability
Centralized AI operations, management and control within the on-premises environment.
Inference Path
From pixel to action — without leaving the site.
Axis.LOOP Learning Cycle
From factory data to AI operation.
Field data is absorbed instantly and models are retrained on-premise. Learning drops from 100 days to 10 days per site — in some cases from 30 days to 1 hour.
Collect
Capture image and sensor data from production lines and work zones.
Annotate & Train
Label data and train or retrain models in Axis.CORE (AIOps).
Deploy (OTA)
Push optimized models to every Axis.EDGE node over the air.
Infer & Monitor
Run inference at the edge and review results on the dashboard.
Technical Specifications
Axis.ONE at a glance.
| Compute | Intel CPU, NPU and xPU edge inference — no dedicated GPU required |
|---|---|
| Edge runtime | Docker-based Axis.EDGE nodes; AI services packaged as containers |
| AI modules | Vision.ONE · Safe.ONE · Robo.ONE · Assist.ONE (plug-in per node) |
| Learning | Axis.LOOP active learning · Axis.MIMIC VLA-based imitation learning |
| Central core | Axis.CORE: orchestration, resource management, AIOps, DB, LLM service, dashboard |
| Model delivery | Over-the-air (OTA) distribution of models, fixes and software updates |
| Deployment | 100% on-premise; air-gapped and closed-network ready; zero cloud dependence |
| Interoperability | Open, ROS2-compatible, vendor-agnostic; heterogeneous terminals and hardware replacement |
| Data | Operational data, statistics and inference results stored on-site |
| Operation | No-code oriented UI/UX dashboard; minimal time from installation to operation |
Positioning
Everyone validated the integrated model —
no one delivers it without GPUs.
| Capability | Typical integrated industrial-AI suites | Axis.ONE |
|---|---|---|
| Heterogeneous-device orchestration | Partial | Yes |
| Domain vertical integration | Partial | Yes |
| No-GPU (CPU / NPU edge) | No | Yes |
| 100% on-premise · closed network | Partial | Yes |
| Open · ROS2 · vendor-agnostic | No / partial | Yes |
| SME-friendly pricing & no-code | No | Yes |
Based on ONE AI's competitive analysis of major industrial-AI vendors (Sep 2026).
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Information about ONE AI Co., Ltd., the Axis.ONE platform, demo videos and related performance figures is provided by ONE AI and has not been independently verified by HeartCore Enterprises, Inc. Performance figures describe results reported by ONE AI and may vary by site and use case. Product and company names are trademarks of their respective owners. This page is for informational purposes only and does not constitute an offer to sell or a solicitation of an offer to buy any securities.