{{Standalone applications with AI at the core}}

We run discovery and feasibility studies, analyse the available data and build a prototype where it helps. Together we settle success criteria and architecture options.

You receive a solid solution concept with benefit and feasibility assessed. The concept steers the choice of AI architecture in the next step.

We design the AI architecture and choose models, RAG, function calling and data connections to suit the task. Pipelines and prompt engineering settle how the building blocks work together.

You receive a viable target architecture that makes effort and operation foreseeable. The actual content processing builds on it.

We implement the content processing, for instance text extraction, classification, summarisation and generation through NLP methods. Document parsing opens up unstructured sources too.

The core function processes your content reliably and delivers first usable results. This function is then carried over into a usable application.

We develop usable web frontends, REST APIs and backend services with authentication and CI/CD. Before going live we check output quality through evaluations, test data sets and guardrails.

You receive a working, tested application with output quality evidenced. The approved application then goes into secure operation.

We deliver the application through cloud deployment and watch it with monitoring, observability and cost control. Versioning and fallbacks keep operation stable and scalable.

You receive a production solution that solves tasks which were barely programmable before. From the operational data the application extends where the value is confirmed.