Tokyo, 108-0073,
Japan
Kawasaki Geological Engineering Co Technographics
Kawasaki Geological Engineering Co Technographics, Software Purchases, AI and Digital Transformation Initiatives
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: Microsoft 365 for Collaboration in 2015, Fujitsu Cloud Service K5 for Apps Development in 2017 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 Microsoft , Fujitsu 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.
Kawasaki Geological Engineering Co Tech Stack and Enterprise Applications
Kawasaki Geological Engineering Co Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
In 2015, Kawasaki Geological Engineering Co implemented Microsoft 365 as its Collaboration platform. The deployment for the Japan-based professional services firm is observable from public site references to Microsoft 365 and was positioned to support internal communications and document workflows for a 281-employee organization.
Microsoft 365 implementation emphasized standard Collaboration capabilities, using Microsoft 365 components such as Exchange Online for corporate email, SharePoint Online for document libraries and intranet content, Teams for real time team communication, and OneDrive for individual file synchronization. Configuration work inferred from the deployment pattern focused on tenant configuration, mailbox and SharePoint site provisioning, and role based access for project teams and corporate staff.
Operational coverage targeted core business functions including project delivery, field engineering collaboration, and back office administration, with tenant level administration and centralized governance controls applied to user provisioning and information access. Public evidence on the company website indicates sustained use of Microsoft 365 as the primary Collaboration platform rather than a temporary trial.
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Kawasaki Geological Engineering Co PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| 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.
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IT Decision Makers and Key Stakeholders at Kawasaki Geological Engineering Co
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Apps Being Evaluated by Kawasaki Geological Engineering Co Executives
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