Joint Development of Internal Data Integration AI Platform with Taiwanese AI Infrastructure Company Spingence Technology
Digital Base Inc. and Taiwan's Spingence Technology have jointly developed an AI platform that securely integrates internal corporate data, to be showcased at the AI EXPO in April 2026.
📋 Article Processing Timeline
- 📰 Published: April 6, 2026 at 17:55
- 🔍 Collected: April 6, 2026 at 09:01
- 🤖 AI Analyzed: April 21, 2026 at 02:51 (353h 50m after Collected)
Digital Base Inc. (Headquarters: Minato-ku, Tokyo, Representative Director: Yasuyuki Imai, hereinafter "Digital Base") has jointly developed an internal data integration AI platform with Spingence Technology Co., Ltd. (Headquarters: Taipei City, Taiwan, CEO: Jesse Chen, hereinafter "Spingence"), which allows companies to safely and easily build and operate AI for business use internally.
This platform will be unveiled at the "NexTech Week 2026 [Spring] 10th AI & Artificial Intelligence EXPO" held at Tokyo Big Sight from Wednesday, April 15 to Friday, April 17, 2026.
Figure 1: Overall image of the dedicated AI construction platform for enterprises jointly developed by Digital Base and Spingence
### Demand for AI Infrastructure that can Securely Integrate Internal Data
While the utilization of generative AI is expanding, there is an increasing need among companies for "an environment that can safely handle internal data while wanting to incorporate AI into business processes." In fact, challenges such as the following have become apparent in many companies:
- Unable to connect internal data to external cloud AI due to strict security requirements.
- Despite introducing generative AI, it hasn't been incorporated into actual business workflows.
- Wanting to utilize AI, but lacking engineers familiar with AI and infrastructure.
- Wanting to advance RAG and business automation, but the burden of construction and operation is high.
In recent years, interest in data management and security responses has been growing across a wide range of industries, and the government is also promoting Sovereign AI and initiatives to visualize security measures across the entire supply chain. Against this backdrop, the demand for environments that can securely connect internal data to AI without relying on external clouds is expanding.
### Overview of the Solution
Based on this background, we have jointly developed an internal data integration AI platform for enterprises by combining Digital Base's full-stack AI software construction technology with Spingence's rich edge AI infrastructure design and construction technology. Spingence provides an infrastructure layer that supports the introduction, operation, and expansion of AI systems as a foundation to support AI utilization in enterprises.
Figure 2: System architecture integrating hardware, AI infrastructure, and applications
Digital Base excels in full-stack AI software construction and integrating data/business functions with AI, making it strong in building secure, dedicated AI environments tailored to business workflows.
On the other hand, Spingence in Taiwan handles everything from CNN-based edge AI infrastructure to on-premises LLM infrastructure and GPU infrastructure management, demonstrating expertise in the AI infrastructure domain where high stability and reliability are required...
This platform will be unveiled at the "NexTech Week 2026 [Spring] 10th AI & Artificial Intelligence EXPO" held at Tokyo Big Sight from Wednesday, April 15 to Friday, April 17, 2026.
Figure 1: Overall image of the dedicated AI construction platform for enterprises jointly developed by Digital Base and Spingence
### Demand for AI Infrastructure that can Securely Integrate Internal Data
While the utilization of generative AI is expanding, there is an increasing need among companies for "an environment that can safely handle internal data while wanting to incorporate AI into business processes." In fact, challenges such as the following have become apparent in many companies:
- Unable to connect internal data to external cloud AI due to strict security requirements.
- Despite introducing generative AI, it hasn't been incorporated into actual business workflows.
- Wanting to utilize AI, but lacking engineers familiar with AI and infrastructure.
- Wanting to advance RAG and business automation, but the burden of construction and operation is high.
In recent years, interest in data management and security responses has been growing across a wide range of industries, and the government is also promoting Sovereign AI and initiatives to visualize security measures across the entire supply chain. Against this backdrop, the demand for environments that can securely connect internal data to AI without relying on external clouds is expanding.
### Overview of the Solution
Based on this background, we have jointly developed an internal data integration AI platform for enterprises by combining Digital Base's full-stack AI software construction technology with Spingence's rich edge AI infrastructure design and construction technology. Spingence provides an infrastructure layer that supports the introduction, operation, and expansion of AI systems as a foundation to support AI utilization in enterprises.
Figure 2: System architecture integrating hardware, AI infrastructure, and applications
Digital Base excels in full-stack AI software construction and integrating data/business functions with AI, making it strong in building secure, dedicated AI environments tailored to business workflows.
On the other hand, Spingence in Taiwan handles everything from CNN-based edge AI infrastructure to on-premises LLM infrastructure and GPU infrastructure management, demonstrating expertise in the AI infrastructure domain where high stability and reliability are required...