Qizhi Kongming AInnoGC Industrial Large Model

What is Qizhi Kongming AInnoGC?

Qizhi Kongming AInnoGC is a portfolio of enterprise-grade large-model products developed by Innovation Qizhi for use in the industrial and intelligent manufacturing sectors.

It is not a single messaging tool; rather, it consists of models, engines, applications, agents, industrial software, and robots.

Product architecture

AInno-75B industrial large model

The AInno-75B model described on the official website is an industrial large-scale model with 75 billion parameters, based on the Transformer architecture.

• It supports text generation and industrial knowledge Q&A.
• It can assist with data analysis and task understanding.
• Carry out incremental training using corporate data.
• Structural design tailored for industrial applications.
• The model’s outputs still require review by domain experts.

AInnoGC engine

The AInnoGC engine is located between the models and business applications, providing the intermediate services required to implement large-scale models.

• Enterprise data processing and knowledge preparation.
• Fine-tuning of large models and version management.
• Model services and application calls.
• Hints for engineering and scenario optimization.
• It supports the development of applications throughout their entire lifecycle.

ChatX application matrix

ChatDoc knowledge Q&A

ChatDoc is used for document-based Q&A within an enterprise’s private ecosystem, with an emphasis on summarizing answers, identifying their sources, and enabling knowledge retrieval.

• Import authorized system and technical documents.
• Establish rules for version and expiration date management.
• Provide the source text for the answer.
• Expert review is required for high-risk operations.
• Reassess the quality of answers after updating the knowledge.

ChatBI data analysis

ChatBI enables business users to query corporate data using natural language, and it assists in generating SQL queries as well as analysis results.

• Connect to authorized data sources.
• Establish a unified business definition for the indicators.
• Restrict the tables and fields that the model can access.
• Check the generated SQL statement before execution.
• Cross-check of important reports with source data.

ChatVision Visual Insights

ChatVision offers visual understanding and data insights for real-time video streams as well as offline video content.

• It can be connected to production or campus video data.
• Analyze tasks through natural language descriptions.
• It supports multimodal analysis and task orchestration.
• Visual alarms need to be determined in conjunction with on-site signals.
• Privacy requirements must be met when it comes to monitoring individuals.

ChatCAD for assisted design

ChatCAD is used to understand the intentions behind industrial design, and it works in conjunction with traditional CAD software to assist in the design process.

• Convert natural language requirements into design tasks.
• Assist in creating or modifying industrial design elements.
• Compatible with existing CAD workflows.
• Engineers must review the dimensions and constraints.
• Official drawings still need to be approved in accordance with the established procedures.

AI Agent application development platform

The platform utilizes a modular, visual, and low-code approach to assist enterprises in developing industrial agent applications.

• Pre-set workflow templates for industrial scenarios.
• It supports dynamic orchestration across different business systems.
• Parse data such as documents, databases, as well as audio and video content.
• It offers over a hundred industry-specific tool components.
• Supports code and API extension tools.
• It can be connected to AInno-75B and other mainstream models.

Knowledge and tool proficiency

The agent platform supports over 20 data formats and improves the retrieval of corporate knowledge through hybrid indexing.

• Process structured and unstructured data simultaneously.
• Parse complex documents and multimodal content.
• Set access permissions for knowledge content.
• Connect enterprise business systems through tools.
• Set approvals and limits for calls to external tools.

Industrial software

Qizhi Kongming industrial software connects data, algorithms, processes, applications, and enterprise business systems.

• It can be integrated with ERP, MES, and SCADA.
• It supports the optimization of manufacturing processes.
• Supports warehousing and logistics scheduling.
• Conduct quality traceability and anomaly analysis.
• Monitor energy consumption and provide suggestions for saving energy.
• Achieve intelligent coordination among multiple systems.

Intelligent device operation and maintenance agent

The equipment operation and maintenance solution integrates data querying, fault prediction, root cause analysis, alerts, and maintenance work orders.

1. Determine the scope of device and data access.
2. Organize the instruction manuals, fault database, and maintenance standards.
3. Connect the sensors to historical ticket data.
4. Set abnormality thresholds and alert priorities.
5. Engineers verify the results of fault prediction.
6. Review the repair plans and suggestions for spare parts.
7. Generate or execute the ticket only after approval.
8. Record the processing results and provide feedback to the model.

Quality analysis and tracing

The platform can integrate AI-based quality inspection tools with quality management software, using natural language to analyze defects and process data.

• Link images with information on detection and production batches.
• Generate visual charts and anomaly indicators.
• Assist in analyzing the root causes of defects.
• Suggestions for optimizing process parameters are provided.
• Any change in parameters must be approved in accordance with the process procedures.

ChatRobot industrial robot

ChatRobot makes use of visual, linguistic, and behavioral models for tasks related to assembly, production lines, warehousing, and logistics.

• Supports interaction for natural language tasks.
• Combines cloud-side management with on-device execution.
• Suitable for both real devices and simulation environments.
• Uniformly manage robot data formats.
• Emphasis is placed on the understanding of complex tasks and generalization.

Industrial safety boundaries

Large models and agents cannot directly replace PLCs, safety systems, work permits, or site supervisors.

• Retain the physical emergency stop and safety interlocks.
• High-risk actions must be manually confirmed.
• Separate the control network from the office network.
• The system enters a safe state when the model is abnormal.
• Complete simulation and field testing before going live.
• Log commands, tool calls, and device responses.

Which industries are supported?

• Steel metallurgy and energy and power.
• Panel semiconductors and 3C manufacturing.
• Automobile equipment and engineering construction.
• Food and beverages, as well as new materials.
• Intelligent manufacturing training.
• Certain financial service scenarios.

AInnoGC Usage Guide

1. Define the business issues and acceptance criteria.
2. Define the boundaries of data, systems, and devices.
3. Choose a model, the ChatX application, or an agent platform.
4. Confirm the public, proprietary, or private deployment method.
5. Complete the design of knowledge, interfaces, and permissions.
6. Use historical data to establish a test baseline.
7. Conduct a proof of concept in an isolated environment.
8. The model outputs are reviewed by industry experts.
9. Conduct a pilot operation on a small scale and arrange for manual intervention.
10. Evaluate security, performance, and business benefits.
11. Complete the official launch and user training.
12. Continuously monitor changes in models and processes.

APIs and SDKs

The official website states that AInnoGC offers integration methods such as interfaces, APIs, and SDKs, which can be incorporated into enterprise applications.

• The complete API documentation is not available publicly on the official website.
• Access eligibility and quotas require business confirmation.
• Interface permissions should adhere to the principle of least privilege.
• Production calls require timeout and retry control.
• Tool calls require approval and auditing.

Package prices and pricing methods

AInnoGC is a enterprise-level solution; the official website does not disclose any standard packages, prices per API call, or free usage quotas.

The price information was verified on August 30, 2026; costs, licensing, and delivery are subject to the official quote and contract.

What to prepare before asking for a quote

• Business scenarios and quantifiable goals.
• Data volume, format, and sensitivity level.
• There are existing ERP, MES, and SCADA systems.
• Requirements for model concurrency, latency, and availability.
• Requirements for public cloud or on-premises deployment.
• Device control and safety interlock boundaries.
• Scope of implementation, training, and long-term operation and maintenance.

Data and deployment security

Industrial data may contain key business information such as formulas, manufacturing processes, equipment status, and production plans.

• Set access and data masking based on data sensitivity levels.
• Limit the scope of model training and log usage.
• Isolate development, testing, and production environments.
• Manage API keys and service accounts.
• Establish backup, recovery, and exit mechanisms.
• The contract specifies the ownership of the data and the responsibilities regarding its deletion.

Registration and open-source status

The official website lists the registration details for AInnoGC’s generative artificial intelligence services, but such registration does not guarantee that the results will be absolutely accurate.

As of the time of verification, no model weights that can be confirmed as official or a complete repository of the product’s source code was found.

• Providing APIs and SDKs does not equate to open sourcing.
• Being based on Transformer does not mean that the model is open.
• Using other models does not change the product licensing.
• The source code, weights, and commercial rights need to be confirmed separately.

Which companies are suitable?

• Manufacturing companies that need to develop industrial knowledge assistants.
• Teams that wish to analyze production data through dialogue.
• Factories that require equipment maintenance and quality tracking.
• IT and digital departments for developing industrial agents.
• Companies that are advancing projects in warehousing, logistics, and robotics.
• Organizations with high requirements for privatization and system integration.

Product advantages

• Build a comprehensive product portfolio tailored for industrial applications.
• Connects models, agents, and industrial software.
• Professional applications such as ChatDoc and ChatBI are provided.
• Supports knowledge in multiple formats and industry tools.
• It can be integrated with mainstream industrial business systems.
• Covers software and robot deployment scenarios.

Usage restrictions and precautions

• The prices for the self-service packages and APIs are not publicly available.
• Implementing a project requires data and system integration.
• There may be errors in the industrial knowledge Q&A.
• The generated SQL and process recommendations must be reviewed.
• Robot control requires an independent safety mechanism.
• The availability of an interface does not mean that the product is open source.
• Value should be verified through actual business metrics.

Frequently Asked Questions

What is Qizhi Kongming AInnoGC?

It is a product portfolio composed of industrial large models, service engines, ChatX applications, agent platforms, and industrial software.

What base model is AInnoGC using currently?

The official website currently introduces the AInno-75B industrial large model, which supports text generation, data analysis, and knowledge-based Q&A.

What ChatX applications are available on AInnoGC?

They mainly include ChatDoc, ChatBI, ChatVision, ChatCAD, and ChatRobot for industrial robots.

Does AInnoGC support APIs and SDKs?

The official website states that API and SDK integration is available, but detailed documentation, requirements, quotas, and costs must be confirmed with the product provider.

How is Chizhi Kongming AInnoGC priced?

The official website does not disclose a fixed price; the pricing for model platforms, agents, industrial software, and robots is usually determined on a case-by-case basis after consultation.

Can AInnoGC directly control production equipment?

Technically, it is possible to connect industrial systems and robots, but production deployments must retain safety interlocks, approval processes, and manual intervention.

Is Qizhi Kongming AInnoGC an open-source model?

No, as of the time of verification, no officially available complete model weights or product source code repository was found.