Introduction of Exhibiting Companies at the Aerospace Festival Fukushima 2025
Dalphys Technologies LLC
No description available.
- Company：福島県 次世代産業課
- Price：Other
Dispenser Product List and Ranking from 519 Manufacturers, Suppliers and Companies | IPROS GMS
Last Updated： Aggregation Period:Jun 17, 2026～Jul 14, 2026
This ranking is based on the number of page views on our site.
Dispenser Manufacturer, Suppliers and Company Rankings
Last Updated： Aggregation Period:Jun 17, 2026～Jul 14, 2026
This ranking is based on the number of page views on our site.
- 株式会社電通総研 製造ソリューション事業部 Tokyo//IT/Telecommunications
- Shinwa Co., Ltd. Mechatronics System Center Aichi//Industrial Machinery
- ディスペンサーの武蔵エンジニアリング 国内：11拠点 海外：11拠点 Tokyo//Industrial Machinery
- 4 ソフトブレーン 東京本社 Tokyo//IT/Telecommunications
- 5 Tamon Tokyo//IT/Telecommunications
Dispenser Product ranking
Last Updated： Aggregation Period:Jun 17, 2026～Jul 14, 2026
This ranking is based on the number of page views on our site.
- Free release of the survey report on "SPDM utilization" based on responses from 267 manufacturing industry professionals. 株式会社電通総研 製造ソリューション事業部
- Precision Dispenser Entry Model Quspa-Dx Shinwa Co., Ltd. Mechatronics System Center
- Tamon Co., Ltd. Company Introduction Tamon
- 4 Industria Co., Ltd. Business Introduction industria
- 5 Introduction to Structural Adhesive "CFRP Adhesive" ヨコハマ技研
Dispenser Product List
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Displayed results
Introduction of Exhibiting Companies at the Aerospace Festival Fukushima 2025
NEDO (National Research and Development Agency for Energy and Industrial Technology)
No description available.
- Company：福島県 次世代産業課
- Price：Other
Introduction of Exhibiting Companies at the Aerospace Festival Fukushima 2025
Fukushima Prefecture High-Tech Plaza
Exhibition of panels and models related to high-tech plaza projects and aerospace.
- Company：福島県 次世代産業課
- Price：Other
Introduction of Exhibiting Companies at the Aerospace Festival Fukushima 2025
Minamisoma Aerospace Industry Research Association
Joint exhibition by members (under corporate coordination), panels, samples, brochures.
- Company：福島県 次世代産業課
- Price：Other
Introduction of Exhibiting Companies at Robot Festa Fukushima 2025
I-PEX Corporation
No description available.
- Company：福島県 次世代産業課
- Price：Other
Introduction of Exhibiting Companies at Robot Festa Fukushima 2025
ARES Project
No description available.
- Company：福島県 次世代産業課
- Price：Other
Introduction of Exhibiting Companies at Robot Festa Fukushima 2025
Fukushima Prefecture High-Tech Plaza
No description available.
- Company：福島県 次世代産業課
- Price：Other
Introduction of Exhibiting Companies at Robot Festa Fukushima 2025
Betel
No description available.
- Company：福島県 次世代産業課
- Price：Other
Introduction of Exhibiting Companies at Robot Festa Fukushima 2025
Bordak
No description available.
- Company：福島県 次世代産業課
- Price：Other
Hirata Trading Co., Ltd.
Specialized trading company for tools, equipment, and machinery.
We are a specialized trading company that sells various tools, equipment, and machinery, primarily focusing on small tools necessary for "monozukuri" (manufacturing). We propose the most suitable products from thousands of manufacturers to meet the diverse needs of various industries and companies.
- Company：ネスク-イイダ
- Price：Other
Chuo Koge Co., Ltd.
Specialized manufacturer of painting jigs and tools.
Specialized manufacturer of painting jigs and tools.
- Company：ネスク-イイダ
- Price：Other
Alpsware Co., Ltd.
A system development company based in South Shinshu.
We are a company that develops various systems and software, established in 2017. Our staff, primarily consisting of returnees from the Iida and Shimoina regions, incorporates their free ideas and creativity into our software, adding "usability" to meet our customers' needs and providing software that satisfies our clients.
- Company：ネスク-イイダ
- Price：Other
Nanshin Tech Co., Ltd.
Design and assembly of metal cans, sheet metal, and labor-saving machinery.
Our company responds to the requests of customers from various industries by handling parts processing, sheet metal fabrication, repair and modification of equipment, and the design to assembly of labor-saving machinery.
- Company：ネスク-イイダ
- Price：Other
Web3 startup company infrastructure migration support
Supporting university-based startups that provide metaverse SaaS!
We provide infrastructure migration support for Web3 startup companies. In a university-originated startup that offers metaverse SaaS, we mainly carry out infrastructure migration support. We identify and resolve issues at the implementation code level. Please feel free to contact us if you need our services. 【Support Details】 ■ Support for university-originated startups providing metaverse SaaS ■ Mainly infrastructure migration support ■ Identification and resolution of issues at the implementation code level *For more details, please download the PDF or feel free to contact us.
- Company：リ・ジューム
- Price：Other
Predictive maintenance AI model that digitizes the "intuition" of veterans.
Transforming the insights of experts into the organization's treasure. Free explanatory materials provided.
We will solve the challenge of technology transfer that many manufacturing sites face by utilizing AI for digital asset creation. Simply analyzing sensor values (such as vibration and temperature) makes it difficult to predict true anomalies. By linking the event logs from the field that experienced professionals use to explain "why that operation was performed at that time," we can incorporate the long-developed intuition for detecting anomalies into the AI model. This enables us to elevate individual technical skills into a lasting asset for the entire organization. We provide a detailed explanation of specific methods for embedding expert skills into AI in our materials.
- Company：NTP
- Price：Other
Accelerating shortage of data talent: A serious concern for 57.5% of companies.
[Free explanatory materials] "Securing talent" is the biggest bottleneck. The next step you should take immediately.
In the 2023 survey, "securing talent" in data utilization emerged as a significantly prominent issue, overwhelming other items. The sense of shortage has increased dramatically from 45.5% in 2022 to 57.5% in 2023, becoming a critical bottleneck for many companies. In response to this situation, strategies that promote the establishment of a foundation requiring advanced specialized skills "without relying on personnel" are being sought. We will present how to build an automated foundation using external tools and AI. A "de-personalization" strategy to ensure data utilization continues even in the absence of experts will be made available in the materials.
- Company：NTP
- Price：Other
Rapid evolution of data infrastructure through agile development.
[Free Presentation of Explanatory Materials] Repeated improvements in a short cycle, responding promptly to changes in needs.
In today's rapidly changing market and needs, the introduction of agile methods is required for building data infrastructure. By not deciding everything in the initial stages and repeatedly implementing and improving in short cycles, we can sequentially provide high-priority features. This method, which immediately reflects feedback, maximizes development speed and enables a direct connection to business value. We will provide a detailed introduction to the process of building a foundation that continues to evolve flexibly and quickly. You can learn agile development techniques for building a resilient data infrastructure through our materials.
- Company：NTP
- Price：Other
Integration of Structured and Unstructured Data: Collaborative Design Key to AI Accuracy
PDFs, emails, and images are also assets. How to advance the organization of accurate and unified data.
The accuracy of AI output is directly linked to the quality of the input data and the structure of the "connections." It is important to integrate not only structured data but also unstructured data such as PDFs and images, and to provide semantic context. Inaccurate data reduces reliability and can lead to locally optimal judgments. We will explain using a simple architecture diagram for AI utilization, from data lakes to DWH and data marts. The full scope of cross-sectional collaboration design to maximize the potential of AI will be published in the materials.
- Company：NTP
- Price：Other
The first step of AI transformation: Inventory of existing data infrastructure and understanding the current situation.
[Free explanatory materials] The source of competitiveness lies not in the number of AI implementations, but in the "quality of data."
The rapid evolution of AI has expanded the possibilities for data utilization, but the premise lies in a consistent data foundation. A company's true competitive advantage depends not on how many AIs it has implemented, but on how sustainably it can maintain data that responds to practical needs. First, you should start by taking inventory of the existing data foundation and visualizing metadata to accurately understand your company's current position. Sharing "meaningful data" that is guaranteed to be trustworthy across the entire organization will be a sure first step toward business transformation. Please use this document as a "current situation assessment checklist" to accelerate transformation.
- Company：NTP
- Price：Other
A professional group in manufacturing industry DX: "Frontline" design by NTP Corporation.
Eliminate "translation loss" between strategy and implementation. Committed to business growth through collaborative engineering.
NTP Corporation is a group of professionals whose mission is to design the future from the front lines of the field. We value a sense of ownership that goes beyond mere system development and deeply engages with the business environment. We lead the entire process from IT strategy planning to design, implementation, and subsequent operations, thoroughly eliminating the "translation loss" that often occurs between strategy and implementation. We have deep strengths in both manufacturing and IT, and we are committed to delivering tangible results. We provide detailed documentation on the support system by engineers who are thoroughly familiar with the manufacturing field.
- Company：NTP
- Price：Other
Three Steps to Full-scale Implementation of Generative AI: From CoE to Identifying Use Cases
It won't change overnight. Support for a continuous approach as an organization.
A phased approach from STEP 1 to 3 is effective for the significant transformation of utilizing generative AI in business. We start with "building the foundation," such as establishing a CoE (Center of Excellence) organization, followed by conducting PoCs (Proof of Concepts) and training in specific areas. Ultimately, we progress to full-scale implementation, continuously creating new services, reducing costs, and identifying optimal use cases. We support companies in their trial and error processes, facilitating long-term and effective AI utilization. The document provides a detailed explanation of the "three steps" to avoid failure in full-scale AI implementation.
- Company：NTP
- Price：Other
IT Strategy for Building Competitive Advantage in the AI Era: Free Presentation Material Offered
After 2026, the success or failure of a business will be determined by the "speed of value delivery."
With the advent of generative AI, the "democratization of intelligence" is progressing, and we delve into the core of the IT strategies that companies should truly seek. The proliferation of generative AI has ushered in an era where advanced data utilization is possible even for non-experts. What is crucial in future IT strategies is to maximize the "Time-to-Value," the time from conception to value delivery. Breaking through stagnation in PoC (Proof of Concept) and how quickly business impact can be generated will determine a company's competitive advantage. Please make use of this document, which encompasses new AI strategies.
- Company：NTP
- Price：Other
Example: IT strategy that reduced data preparation time by 80% (free materials provided)
Eliminating data silos with Databricks implementation, achieving self-service utilization for over 300 people.
This is an example of a refresh of IT infrastructure that significantly reduced the burden of "data preparation," a major factor hindering the utilization of data. By implementing Databricks, we eliminated data silos that were scattered across various departments and established an integrated data platform. As a result, data scientists and analysts can now utilize data through self-service, successfully reducing preparation time by 80%. Currently, a culture where over 300 employees regularly use data has been established. We have published a roadmap for building an efficient data infrastructure in our materials.
- Company：NTP
- Price：Other
