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Innovative Language Technology
High-End Data Science
Research-Driven Development
Bespoke AI Solutions

Innovative Language Technology
High-End Data Science
Research-Driven Development
Bespoke AI Solutions

We develop bespoke AI solutions tailored to your business. Our core areas are semantic text analytics (NLP), text, data and document generation (NLG), large language models (LLMs), machine learning (ML) and artificial intelligence (AI). Since 2011, our team of computational linguists, data scientists, data engineers and software developers has been successfully operating in the market.
About Us

Our Services for Customised Solutions

Text Analytics (NLP)

Text mining uses artificial intelligence (AI) and computational linguistics to extract semantically structured data from unstructured texts by means of machine learning (ML) and pattern recognition.

Machine Learning (ML)

Depending on the project requirements, LangTec uses the most suitable AI techniques in the development of tailor-made AI solutions — whether classical machine learning methods, deep learning approaches, large language models (LLMs), or individually developed algorithmic solutions.

Artificial Intelligence (AI)

At LangTec, artificial intelligence (AI) means solving practical, real-world problems in a smarter, measurably better, and more efficient way. The focus is not on the technology itself, but on finding the optimal solution to the problem. The appropriate technology is therefore selected based on the problem at hand – not the other way round.

Retrieval Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is an AI-based approach that makes knowledge from internal data silos, such as documents and databases, intuitively accessible via a chat interface. Instead of searching through heterogeneous data landscapes for the desired information, users can access a cross-document knowledge base using natural language.

Data and Document Generation (NLG)

At LangTec, artificial intelligence (AI) means solving practical, real-world problems intelligently, efficiently, and measurably better. The focus is not on the technology itself, but on finding the optimal solution to the problem. At LangTec, the appropriate technology is selected based on the specific problem — not predetermined.

Knowledge Representation

Structured knowledge representations are an important complement to the widely used statistical generative AI solutions. They make it possible to capture key facts and relationships in a maintainable form and make them available for further processing. For many years, LangTec has been using semantic technologies to automatically create, analyse, and curate structured knowledge representations such as ontologies and knowledge graphs.

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