Kaiserwetter
Kaiserwetter Technographics
Kaiserwetter Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Kaiserwetter and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50 Kaiserwetter employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Kaiserwetter has purchased the following applications: SAP Leonardo Machine Learning for ML and Data Science Platforms in 2018, Google Cloud Platform (GCP) for Application Hosting and Computing Services in 2021, SAP Leonardo IoT for IoT Platform 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 Kaiserwetter is running and its propensity to invest more and deepen its relationship with SAP , Google , Cloudflare 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 Kaiserwetter 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 Kaiserwetter 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.
Kaiserwetter Tech Stack and Enterprise Applications
Kaiserwetter AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Leonardo Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2018 | 2018 |
In 2018 Kaiserwetter implemented SAP Leonardo Machine Learning as a core component of its ARISTOTELES platform, built on SAP Cloud Platform. The deployment targeted executive decision support for energy investment portfolio management, addressing the industry challenge of bringing together supply and demand by aggregating real-time telemetry from operating assets.
ARISTOTELES is designed as an executive-level dashboard that aggregates and correlates technical, meteorological, and financial data from wind farms, solar parks, biomass, and hydro power stations. The implementation leverages IoT ingestion, analytics, and SAP Leonardo Machine Learning capabilities to enable time series analysis, pattern detection, and forecast-oriented workflows typical of ML and Data Science Platforms.
Integration scope centers on real-time, IoT-based data streams from distributed generation assets and meteorological inputs, combined with financial datasets to provide a unified view for energy investment portfolio managers. The cloud-hosted architecture on SAP Cloud Platform centralizes data processing and model execution, providing a consistent runtime for SAP Leonardo Machine Learning and analytics services.
Governance and operational use are focused on portfolio management and executive reporting, with ARISTOTELES intended to help portfolio managers maximize profits and minimize risk, and to support broader climate objectives cited by the company. The narrative emphasizes the relationship Kaiserwetter SAP Leonardo Machine Learning ML and Data Science Platforms energy investment portfolio management, linking the application to asset-level IoT, analytics, and executive workflow orchestration.
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Kaiserwetter IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Platform (GCP) | Application Hosting and Computing Services | IaaS | n/a | 2021 | 2021 |
In 2021, Kaiserwetter implemented Google Cloud Platform (GCP) for Application Hosting and Computing Services to host its public website and related application workloads. Google Cloud Platform (GCP) is used on the Kaiserwetter website to provide managed compute, object storage for web assets, virtual networking for secure public delivery, and telemetry for availability monitoring. The implementation targets web operations and IT functions for a 50 person utilities firm based in Germany.
Operational configuration is organized into separate projects to isolate production and development, with centralized account provisioning and role based access controls to manage team permissions and change approvals. The deployment uses container orchestration and managed compute patterns, automated deployment pipelines for site updates, and monitoring and logging for operational visibility. Governance is documented through runbooks and access policies to support regular web operations and incident response.
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Kaiserwetter Internet of Things
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Leonardo IoT | IoT Platform | Internet of Things | n/a | 2017 | 2018 |
In 2017, Kaiserwetter implemented SAP Leonardo IoT as the core of its ARISTOTELES offering, positioning the delivery as an IoT Platform for energy investment analytics. ARISTOTELES is built on SAP Cloud Platform and leverages SAP Leonardo IoT capabilities to provide an executive level view that targets banking institutions and private investors to fund renewable energy projects in emerging markets.
The implementation centers on an executive dashboard that aggregates and correlates technical, meteorological, and financial data from wind farms, solar parks, biomass, and hydro power stations. Functional capabilities implemented include data ingestion pipelines, smart visualized graphics with drill down for production yield, revenues, cash flow and trend analysis, and machine learning driven predictive analytics using SAP HANA predictive analytics. The platform is described as delivering benchmarking and risk assessment workflows to support energy investment portfolio managers.
Operationally the ARISTOTELES IoT Platform ingests telemetry and facility level data from distributed generation sites and correlates that data with external weather inputs to enable local, regional, and international performance comparisons. Integration points explicitly include SAP Cloud Platform and SAP HANA predictive analytics, while the deployment scope is framed around Kaiserwetter headquarters in Germany and its offices in Madrid, New York, and planned expansion to Beijing, with a focus on enabling investor decision making across Africa, Asia, and South America.
Governance and business process impact emphasize embedding intelligence into investment decision workflows, shifting executive reporting to a data driven dashboard model to increase transparency for investors and portfolio managers. The initiative originated as a coinnovation partnership with SAP, culminating in public recognition in 2018, and Kaiserwetter has stated future roadmap items such as predictive data simulation analytics, energy storage optimization, blockchain, AI, and demand side power generation features.
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IT Decision Makers and Key Stakeholders at Kaiserwetter
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Chief Data Officer | CXO | IT | |
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CIO | CXO | Finance | |
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Apps Being Evaluated by Kaiserwetter Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Kaiserwetter IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Kaiserwetter digital transformation priorities and AI adoption trends.
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FAQ - APPS RUN THE WORLD Kaiserwetter Technographics
Kaiserwetter is a Utilities organization based in Germany,
with around 50 employees and annual revenues of $1.0 million.
Kaiserwetter operates a diverse technology stack with applications such as
SAP Leonardo Machine Learning, Google Cloud Platform (GCP) and SAP Leonardo IoT,
covering areas like ML and Data Science Platforms, Application Hosting and Computing Services and IoT Platform.
Kaiserwetter has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as SAP and Google.
Kaiserwetter recently adopted applications including
Google Cloud Platform (GCP) in 2021, Cloudflare CDN in 2021 and SAP Leonardo Machine Learning in 2018,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Kaiserwetter’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Kaiserwetter’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Kaiserwetter technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.