Tokyo, 108-0073,
Japan
Kawasaki Geological Engineering Co Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Kawasaki Geological Engineering Co and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 281 Kawasaki Geological Engineering Co employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Kawasaki Geological Engineering Co has purchased the following applications: Fujitsu Cloud Service K5 for Apps Development in 2017, Microsoft 365 for Collaboration in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Kawasaki Geological Engineering Co is running and its propensity to invest more and deepen its relationship with Fujitsu , Microsoft 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 Kawasaki Geological Engineering Co revenues, which have grown to $58.7 million 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 Kawasaki Geological Engineering Co 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.
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Fujitsu | Legacy | Fujitsu Cloud Service K5 | Apps Development | PaaS | Fujitsu | 2017 | 2017 | In 2017, Kawasaki Geological Engineering Co implemented Fujitsu Cloud Service K5 to apply Zinrai deep learning to the analysis of large volumes of underground radar images for subsurface cavity detection. The engagement is recorded under Apps Development and targeted field services and infrastructure safety processes in Japan to support roadway sinkhole prevention workflows. The implementation used Fujitsu Cloud Service K5 Zinrai as the core deep-learning platform, with configuration focused on image preprocessing, model training and inference pipelines, and automated detection and classification of cavity signatures in radar imagery. Functional capabilities emphasized pattern recognition for subsurface anomaly detection, iterative model refinement using labeled site data, and cloud-hosted inference for field survey throughput. Fujitsu acted as the vendor and system integrator for the engagement, delivering services that became available in summer 2017. Operational scope included ingestion of underground radar images from field surveys and integration into inspection and infrastructure safety processes, enabling field teams to consume model outputs for site assessment and remediation planning. Governance centered on a managed cloud deployment and a continuous improvement loop between field survey data and model retraining under Fujitsu operations. The Fujitsu Cloud Service K5 Zinrai deployment delivered faster and more accurate cavity detection as part of Kawasaki Geological Engineering Co operational tooling for infrastructure safety. |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||