Beijing DeepPush Artificial Intelligence Technology Research Co., Ltd., under Beijing AIXUNFEI Technology Co., Ltd., has officially introduced DeepData and DeepReason IND, two fully private and offline-deployable AI platforms designed for industrial inspection.
As the most important core modules of the ApexScope X3 integrated borescope system, DeepData and DeepReason IND are built to provide reliable advanced AI services for industrial inspection users with strict data confidentiality requirements.
Their purpose is clear: improve productivity, protect valuable asset data, and help users turn inspection data into real operational value.
The ApexScope X3 integrated borescope system is built around this dual-core AI platform. With rotating tools, industrial borescopes, modular pipe robots, and other acquisition devices as inspection inputs, ApexScope X3 bridges the final gap between hardware data acquisition and software intelligence processing.
What Is DeepReason IND?
Based on customer needs, AIXUNFEI deploys open-source large language models such as DeepSeek in a private offline environment through the DeepReason IND platform, helping users build their own dedicated industrial inspection AI center.
DeepReason IND supports both chat mode and query mode.
In query mode, the system does not generate unsupported answers. Instead, it searches the user’s manuals, standards, and internal documents to provide traceable and evidence-based responses.
On the platform, users can freely build their own knowledge bases. Industry standards, maintenance manuals, inspection specifications, historical records, and other documents can be deployed with a simple workflow.
DeepReason IND automatically organizes the data into MD documents. When communicating with users, the large model can use the knowledge base in query mode, reducing model hallucination and ensuring that intelligent output is reliable, controlled, and traceable.
Users can create multiple knowledge bases in DeepReason IND, and these knowledge bases can remain independent from one another.
The entire process is designed to help engineers get started quickly, without long deployment cycles or complex training.
The platform not only supports DeepSeek, but also supports offline deployment of other open-source large language models. If users want to use online models, they can also connect them to the DeepReason IND platform through APIs.
What Is DeepData?
Another core module of the ApexScope X3 integrated borescope system is DeepData.
Many users want to apply advanced AI services in industrial inspection, but their data is often insufficient, scattered, or difficult to use directly. As a result, even after significant investment, the actual effect may be limited and the AI system may remain only a technical showcase.
DeepData solves this problem by providing fully offline and structured data storage and utilization.
On the platform, users can centrally manage important assets over the long term, including high-value equipment such as aircraft engines, ships, and other industrial assets worldwide. This centralized management helps avoid the security risks and AI analysis limitations caused by scattered data storage.
Users can also create and edit new assets according to their own operational requirements.
Engineers can quickly locate inspection tasks based on serial number, location, inspection time, and inspection content.
Inspection devices such as borescopes can be imported into the workflow, and these devices are deeply bound with the platform at the model and equipment level.
After inspection is completed, data can be imported offline and used to generate reports. With simple operations, users can view the inspection results of any asset at any time and process the results efficiently.
This greatly improves data management efficiency.
DeepData also includes built-in AI recognition capability. Uploaded images can be processed through AI recognition to accelerate defect identification and inspection result handling.
Built-In AI Model Training for Continuous Improvement
DeepData includes a built-in AI model self-training system.
Users can manage their own custom labels, annotate uploaded data, and later move the annotated data into training datasets for defect model training.
The trained models can then be updated on both the borescope device and the platform.
This creates a positive cycle: the more inspections are performed, the smarter the platform becomes.
This approach helps prevent AI recognition from becoming unreliable or impractical. Instead, the system continues to improve based on real inspection data and real industrial scenarios.
DeepData + DeepReason IND: Connected, Secure, and Practical
DeepData and DeepReason IND can be associated and activated together.
When users want to check whether a defect in a newly uploaded image meets relevant requirements, or when they need processing suggestions, the image can be transferred to DeepReason IND with one click.
The system can then provide standardized recommendations based on the user’s knowledge base, inspection standards, and internal documents.
The entire process is natural, efficient, and secure.
As the most important dual-core platform module of the ApexScope X3 integrated borescope system, DeepReason IND and DeepData enable AI technology to be rapidly deployed in borescope inspection and related industrial inspection tasks.
Through offline deployment and deep interaction with edge-side devices, the platforms protect data security, improve inspection efficiency, and help ensure that AI inspection is no longer just a demonstration concept.
Instead, it becomes a real productivity tool for engineers in inspection, analysis, and asset management.
Beijing AIXUNFEI Technology Co., Ltd. and its subsidiary Beijing DeepPush Artificial Intelligence Technology Research Co., Ltd. will continue to use artificial intelligence to see the future of industrial inspection.
Think Deep. See Different.
