London, EC4M 7RD,
United Kingdom
Bulweria Technographics
Bulweria Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Bulweria and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 5 Bulweria employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Bulweria has purchased the following applications: Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Bulweria is running and its propensity to invest more and deepen its relationship with Google 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 Bulweria revenues, which have grown to $1.0 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 Bulweria 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.
Bulweria Tech Stack and Enterprise Applications
Bulweria AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016 Bulweria deployed Google Cloud Machine Learning Engine as the analytics backbone for its Car sharing Universal Platform, building on Google Cloud Platform to meet rapid scale requirements. The Car sharing Universal Platform had already been rolled out across more than 25 countries and ingested billions of data points per day from thousands of cars, with plans to extend to more than one million vehicles over the following year.
The implementation used Google Cloud Machine Learning Engine to provide core ML and model serving capabilities typical of ML and Data Science Platforms, including large scale model training, automated model serving for real time inference, and batch model scoring for historical analytics. Bulweria configured pipelines to support continuous training cycles and model versioning to adapt models to fast changing mobility patterns.
Architecturally the platform centralized telemetry ingestion from vehicle measurements, user data, and external transport systems worldwide and routed data into scalable cloud data pipelines and model endpoints. Operational coverage focused on fleet management, real time telemetry analytics, demand forecasting, and user behavior modeling, supporting mobility operations across multiple countries and sites.
Governance emphasized centralized model lifecycle management and staged rollouts across geographies to control model updates and inference quality, while operations teams were organized around analytics, engineering, and mobility product functions. Bulweria cited a significant cost and scalability advantage from running the solution on Google Cloud Platform, noting that cloud infrastructure was required to manage the anticipated vehicle scale, and reporting a large reduction in projected costs compared to older platforms.
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IT Decision Makers and Key Stakeholders at Bulweria
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
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Business Developer Manager & Strategic Account, Chief Information Officer | Manager | IT | |
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Apps Being Evaluated by Bulweria Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||