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Enterprise AI Assistant

Automate Data Transcription with a Single Tap

 

Leverage Multimodal LLM Capabilities

No-Code Designer - Unlimited AI Scenario Development

 

 

 

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Enterprise AI Assistant

Automate Data Transcription

with a Single Tap

 

Leverage Multimodal LLM Capabilities No-Code Designer - Unlimited AI Scenario Development

 

 


 

 

people
line

Leveraging Multimodal AI Expertise to Create Enterprise AI Assistant

Leveraging Multimodal AI Expertise

to Create Enterprise AI Assistant

Utilizing Dingwin's (DATA SYSTEMS CO.) models to harness the power of multimodal AI for image recognition, text recognition, and analytical reasoning. These capabilities identify various data transcription scenarios within enterprises, assist in document generation tasks, significantly reduce repetitive and tedious administrative work, and unleash employee productivity.

Multimodal AI

Multimodal AI Capabilities

Powered by Dingwin's multimodal large language model with AI capabilities including image recognition, text recognition, and keyword identification.

Scenario Designer

Scenario Designer

Using natural language to pre-configure fields and parameters, allowing you to build a complete AI scenario in just 30 minutes.

Self-Learning

Self-Learning and Optimization

Continuous usage and correction feedback help improve AI accuracy and enable ongoing evolution of intelligent applications.

System Integration

Seamless System Integration

Tasks can push data directly to enterprise systems such as ERP or MES via API, enabling end-to-end process automation.

Create AI Scenarios in 30 Minutes

with No-Code AI Designer

Create AI Scenarios in 30 Minutes

with No-Code AI Designer

 
 
 
1
Basic Settings
2
Change Components
3
Extraction Rules
4
Integration Setup
Scenario:
Prompt:
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Basic Settings
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Change Components
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Extraction Rules
4
Integration Setup
OCR Recognition:
Text Processing:
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Basic Settings
2
Change Components
3
Extraction Rules
4
Integration Setup
  Field Name Field Elements Example Value Summary
Travel Date The date when passenger used transportation, common format YYYY-MM-DD. 2024-10-15 No
Train/Car Number High-speed rail or train number, usually consisting of letters and numbers. G123 No
Departure Station The station where passenger departed from, usually a city or district name. Taipei/Taipei No
Departure Time The time when passenger departed from the starting station, format usually HH:MM. 09:30 No
1
Basic Settings
2
Change Components
3
Extraction Rules
4
Integration Setup
  Field Name Field Elements Example Value Summary
No
No
No
No
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Basic Settings
2
Change Components
3
Extraction Rules
4
Integration Setup
Integrate as API/WS:
Select Output Format:
Output as recognized result:
Scenario Completed

No technical background required to easily create a customized "Enterprise AI Assistant" for your enterprise, satisfying various application scenarios such as: converting design drawings directly into work orders; transforming customer purchase orders into sales orders; generating expense reimbursement forms from travel receipts... and many other application scenarios, greatly improving operational efficiency.

Enterprise AI Assistant

Transforming the Future of Enterprise Operations

Enterprise AI Assistant

Transforming the Future of Enterprise Operations

2025 Computex: Enterprise AI Assistant , Attracting Over a Thousand Inquiries

The new AI-powered work model significantly boosts document processing efficiency by 96%.

 

Digiwin (DATA SYSTEMS CO.)  Smart introduces the "Enterprise AI Assistant," which is based on the Aetina MegaEdge AIP-FR68 edge AI inference system. It integrates Qualcomm's on-premises AI appliance solution (comprising the Qualcomm Cloud AI 100 Ultra Accelerator and Qualcomm AI Inference Suite), delivering up to 870 TOPS of AI computing performance for generative AI workloads in air-gapped, isolated network environments.

 

By leveraging multimodal large language model (Multimodal LLM) inference, the system can quickly perform image recognition, information extraction, and form transcription. Enterprises only need to describe their requirements in natural language to rapidly establish AI applications for data entry, matching, and correction. This approach significantly lowers the barriers to adoption and reduces development costs.

鼎新X安提國際X高通

Digiwin (DATA SYSTEMS CO.)  Smart Manufacturing BGVP Yu-Kai Huang (left), Qualcomm Technologies SVP and GM of Automotive, Industrial, and IoT Business Unit Nakul Duggal (center), and Aetina International and Innodisk Corporation Chairman Chuan-Sheng Chien (right).

 

Rapid Deployment of Enterprise AI Assistant
Using Lightweight, Low-Power Edge AI

 

Digiwin  Aetina  Qualcomm

 

The Enterprise AI Assistant operates on Aetina MegaEdge AI workstation, equipped with Qualcomm AI 100 accelerator card, allowing enterprises to quickly deploy without relying on cloud computing power, instantly providing a secure, stable, low-power, and low-latency AI automation environment.

 

people 3

 

2025 Computex: Enterprise AI Assistant , Attracting Over a Thousand Inquiries

The new AI-powered work model significantly boosts document processing efficiency by 96%.

 

Digiwin (DATA SYSTEMS CO.)  Smart introduces the "Enterprise AI Assistant," which is based on the Aetina MegaEdge AIP-FR68 edge AI inference system. It integrates Qualcomm's on-premises AI appliance solution (comprising the Qualcomm Cloud AI 100 Ultra Accelerator and Qualcomm AI Inference Suite), delivering up to 870 TOPS of AI computing performance for generative AI workloads in air-gapped, isolated network environments.

 

By leveraging multimodal large language model (Multimodal LLM) inference, the system can quickly perform image recognition, information extraction, and form transcription. Enterprises only need to describe their requirements in natural language to rapidly establish AI applications for data entry, matching, and correction. This approach significantly lowers the barriers to adoption and reduces development costs.

鼎新X安提國際X高通

Digiwin (DATA SYSTEMS CO.)  Smart Manufacturing BGVP Yu-Kai Huang (left), Qualcomm Technologies SVP and GM of Automotive, Industrial, and IoT Business Unit Nakul Duggal (center), and Aetina International and Innodisk Corporation Chairman Chuan-Sheng Chien (right).

Rapid Deployment of Enterprise AI Assistant

Using Lightweight, Low-Power Edge AI

鼎新  安提  高通

 

The Enterprise AI Assistant operates on Aetina MegaEdge AI workstation, equipped with Qualcomm AI 100 accelerator card, allowing enterprises to quickly deploy without relying on cloud computing power, instantly providing a secure, stable, low-power, and low-latency AI automation environment.

people 3

 

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