Value
The base of every landscape or solution is the cloud platform. This is a generic layer that is not very business specific. This layer consists of an infra-as-code deployed platform to host AI workloads, applications and data solutions. Keywords are CI/CD, DevOps and a software defined approach.
While delivery of a cloud platform is not a goal as such, we believe that a secure, scalable and cost-efficient cloud platform is key to create value. The Pebble Cloud Framework is a proven method that is adopted by many customers.
We build the data backbone that powers intelligent decisions and AI-driven solutions—securely and responsibly. From data pipelines to flexible consumption patterns—including APIs, analytics, and machine learning—we design and implement robust architectures that turn raw data into clean, governed, and trusted assets.
With a strong focus on data quality, governance, and security, we ensure your insights—and your AI—are built on a solid foundation.
We craft high-quality software that’s built to last—and built to scale. From modern web and mobile applications to complex backend systems and APIs, we deliver robust, maintainable, and user-focused solutions. Our teams embrace best practices in architecture, testing, and DevOps to accelerate delivery without compromising on quality, security, or performance.
We were initially asked to do a second opinion on the existing databricks based data platform. This has led to a successful collaboration where we now partner intensively on all cloud workloads and made a significant cost saving for the customers cloud environment.
For customers in healthcare the security posture of a data platform is one of the main areas of focus. Without compromising scalability, functionality or usability we realized a secure deployment of Microsoft Fabric that also comes with our Cost Control insights out of the box.
In manufacturing processes it is key that expensive raw materials are efficiently used. We developed an API layer running on the customer platform that returns exact input for the production process. The results are direct cost savings.