We support you from the initial project idea with creativity, innovative strength and methodical consulting expertise in order to define the best possible basis and framework conditions for a joint project.
We develop APIs to ingest data from various sources and help set up local or cloud-based data landing zones for batch processing, CDC, and streaming APIs.
We meet a wide range of data collection requirements, including real-time data from IoT sensors, web applications and financial trading venues.
We support you in integrating data of different types and formats, e.g. structured or unstructured, in a data lake or a data warehouse. This creates a uniform basis for analyzes and reports.
Our data scientists accompany you from sandbox to production by developing robust analytical models and algorithms using numerical, statistical and modern AI approaches.
We also offer special analytical expertise in the areas of life science, finance and manufacturing.
We bridge the gap between sandbox models and enterprise-grade MLOps solutions by applying proven software development practices such as version control and continuous integration to the code base.
We ensure smooth transitions between data science requirements and data management by building robust CI/CD data pipelines that guarantee a successful data science project and productive data-driven analysis systems.
We also support maintaining high data quality and take care of the harmonization, transformation and contextualization of data.
We operationalize analysis models and user requirements in a robust, enterprise-ready DevOps platform using the Everything-as-Code (EaC) approach.
This enables scalable and robust AI solutions while we take care of model versioning, training, performance monitoring and standardized backtesting.
We establish a DevOps platform for collaborative code development that covers the entire software development lifecycle for agile and holistic development.
We place great emphasis on fundamental software engineering concepts such as clean code, test-driven development, modularization, version control, and security.
Our team provides the software expertise and flexibility you need to develop your enterprise data platform and applications.
Our Technical Leads support projects by gathering requirements, making recommendations and designing architectures for on-premise or cloud applications and entire data platforms.
They provide technical leadership in developing scalable, robust, and secure analytics platforms for big data, multi-user, and high-performance distributed workloads.
We support you in various migration paths to modernise your data platform landscape, from cloud enablement and transformation to modernisation of legacy software and data formats.
We ensure user adoption and a great user experience by offering front-end development services that include UI/UX, UAT and technical implementation using modern web app frameworks and standard reporting services.
We offer various operating modes, including Hypercare with DevOps and CloudOps scenarios based on customised SLAs. Our range of services includes advice on the organisation of operating scenarios in the development phase of the project and long-term support through a managed service.
Our focus is on establishing common standards from ITIL/ITSM or Site Reliability Engineering (SRE) and automating maintenance work.
