thinformatics
In Focus
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Topic
Services
In Focus
In Focus
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Services
In Focus
In Focus
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Topic
Services
In Focus
In Focus
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We build applications that put AI to work on understanding content, generating it or supporting decisions. That lets you solve tasks conventional software could never reach.
We build applications that put AI to work on understanding content, generating it and supporting decisions, for {{tasks left unsolved until now}}.
We examine which tasks AI can sensibly solve for the first time.
Discovery, feasibility studies, prototyping, data analysis, success criteria, architecture options
We choose models and structure to suit the task at hand.
LLMs, RAG, function calling, vector databases, pipelines, prompt engineering
The application understands, generates or classifies content automatically.
NLP, text extraction, classification, summarisation, generation, document parsing
We build usable interfaces and robust APIs around the AI.
Web frontends, REST APIs, backend services, authentication, CI/CD, cloud deployment
We check output quality systematically before the application goes into production.
Evaluations, test data sets, hallucination checks, guardrails, human-in-the-loop, metrics
We run the application securely, monitored and with an eye on cost.
Monitoring, token cost, scaling, versioning, fallbacks, observability
We examine which tasks AI solves for the first time.
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 choose models and structure to suit the task.
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.
The application understands and generates content automatically.
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 build tested interfaces and robust APIs.
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 run the application securely and monitored.
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.
AI is the engine of the application, not an add-on.
Tasks beyond conventional software become possible.
RAG groundwork brings your own knowledge in.
Grounding and evaluation safeguard the output.
Guardrails, data protection and the EU AI Act are built in.
A prototype tests the idea before full development.
Answers to the questions we are asked most often about AI applications.
We talk about the use case, data foundation and models for your AI application.
