Osaka, 532-8512,
Japan
DAIHEN Corporation Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by DAIHEN Corporation and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3783 DAIHEN Corporation employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that DAIHEN Corporation has purchased the following applications: FogHorn Lightning EdgeML for ML and Data Science Platforms in 2018, SEI QuickSolution for Application, Web and Enterprise Search in 2024, Adobe Marketo for Marketing Automation in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems DAIHEN Corporation is running and its propensity to invest more and deepen its relationship with Johnson Controls , Sumitomo Electric Information Systems , Adobe Systems or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing DAIHEN Corporation revenues, which have grown to $1.17 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for DAIHEN Corporation intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Johnson Controls | Legacy | FogHorn Lightning EdgeML | ML and Data Science Platforms | AI Development | n/a | 2018 | 2018 |
In 2018, DAIHEN Corporation deployed FogHorn Lightning EdgeML to automate production of industrial transformers and to centralize materials quality monitoring at its Osaka factory. FogHorn Lightning EdgeML was implemented as an ML and Data Science Platforms solution to deliver on-premises, edge-based machine learning and real-time analytics across constrained industrial devices.
The implementation focused on real-time analytics and model inferencing at the edge, using FogHorn Lightning EdgeML to run complex machine learning models on-site. Functional capabilities included continuous ingestion and preprocessing of sensor streams, anomaly detection to identify production errors immediately, and visual analytics to support operators during the assembly process. The deployment automated monitoring tasks that had previously required manual logging and inspection, enabling automated tracking of how each part was assembled and stored and how long each production stage took.
Integrations included a radio frequency identification infrastructure and a network of environmental sensors measuring temperature, humidity, and dust, with Energia Communications, Inc collaborating on system deployment. FogHorn Lightning EdgeML ingested RFID and sensor telemetry to correlate material condition and process timing with quality signals, operating across dozens of devices within the Osaka plant. Within six months of deployment the RFID tracking achieved 70 percent coverage and was reported to be on track to approach full coverage later in the year.
Governance and operational impact centered on factory operations and quality management, where the solution reduced reliance on manual monitoring and improved data accuracy and team collaboration. The project explicitly eliminated 5,000 hours of manual data entry per year and enabled faster detection of production defects, shifting inspection workflows toward automated edge analytics and operator-facing visualizations.
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sumitomo Electric Information Systems | Legacy | SEI QuickSolution | Application, Web and Enterprise Search | Content Management | n/a | 2024 | 2024 |
In 2024, DAIHEN Corporation implemented SEI QuickSolution to provide enterprise full text search and RAG and AI assisted knowledge access for engineering, production, and support. The deployment, provided by Sumitomo Electric Information Systems, targeted knowledge and document management use cases across Japan and used an on premises architecture to index approximately 200TB of corporate data.
SEI QuickSolution was configured to deliver Application, Web and Enterprise Search capabilities including large scale full text indexing, relevance tuning, and the QuickSolution generative AI RAG option for retrieval augmented generation workflows. The implementation combined document ingestion, metadata extraction, and search query orchestration to support contextual answer generation and knowledge retrieval across technical manuals, production records, and support documents. Configuration work included search schema design, indexing pipelines, and AI assisted query routing to balance precision and recall.
Operational coverage focused on engineering, production, and customer support teams in Japan, consolidating content from multiple repositories into a unified searchable corpus. The on premises deployment emphasized internal indexing and connector management to bring heterogeneous document stores into the SEI QuickSolution index without external cloud processing.
The rollout delivered rapid adoption and about 13,200 hours of cumulative time savings within roughly six months, improving customer response and knowledge transfer as reported. Use of the QuickSolution generative AI RAG option enabled AI assisted knowledge access to accelerate resolution and onboarding workflows. Governance centered on centralized search schema management, phased functional rollout to engineering and support, and operational ownership for ongoing indexing and relevance tuning.
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adobe Systems | Legacy | Adobe Marketo | Marketing Automation | CRM | n/a | 2022 | 2022 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Secure Sockets Layer (SSL) | CyberSecurity |
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2022 | 2022 |
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Secure Web Gateways (SWG) | CyberSecurity |
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2016 | 2016 |
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