Kairntech aims to let business users create value faster from AI language technologies, including Large Language Models (LLMs) and RAG (Retrieval Augmented Generation) by building, industrializing and maintaining AI Language Assistants.
Prototype quickly, customize extensively, industrialize seamlessly with a rich API and build trusted AI with humans-in-the-loop and on premise deployment.
These assistants are used to address business use cases including:
The following natural language categories are used to solve these use-cases, and often in combination with each other:
- Question-answering which starts with the segmentation, indexing and vectorization of the imported documents
- Text classification
- Entity detection
The Kairntech software is composed of the following elements:
- A development studio (Kairntech Studio) to build automated language pipelines
- A deployment server (Kairntech Server) to run and maintain these pipelines
Now let’s move on to the first step: