Our mission at Kairntech is to create business impact from documents. Trust, accuracy and “human-in-the-loop” continuous improvement of language assistants all contribute to reach this goal. Ultimately, the value obtained from documents enhances the collective intelligence of organizations.
Even though Large Language Models (LLMs) are improving all the time, you cannot rely solely on these models to create sustainable business value.
Build trust and accuracy with context
At Kairntech we believe that context and metadata anchor GenAI models in reality. Internal documents, knowledge bases such as Wikidata and business vocabularies all contribute to enhance trust in the accuracy of GenAI language initiatives.
Down-to-earth tasks such as document conversion, dataset creation, extraction of entities or relations, building classification or entity recognition models are needed to create relevant and trustworthy context. There is no magic bullet here, the best results are obtained by getting your hands dirty.
Kairntech Studio, our low code platform accessible to Subject Matter Experts, allows you to create high quality datasets, train AI models, design pipelines and feedback-loops. Studio contains a wide range of pre-packaged technologies, off-the-shelf models and clever tools such as Active Learning.
Our RAG chatbot frontend answers questions while also showing the original document sources to view the context.
The customization imperative
GenAI and Large Language Models are only a component in the chain of technologies needed to derive sustainable business value from documents. It is of vital importance to customize the elements within this chain (AI pipelines).
An extensive range of technology components need to be integrated, customized and combined. These include document conversion, chunking, indexation, vectorization, prompting, information extraction, text classification. Search methodologies have a big impact. The underlying language models as well.
Customization maximizes accuracy and ultimately trust within a specific and often unique context. For more details, discover our whitepaper.
The GenAI NLP factory
Creating customized AI Pipelines is one thing. Industrializing these pipelines is quite another. Kairntech Server is build to scale GenAI language assistants securely. This server can be deployed on premise, in private clouds as well as in B2B SaaS mode.
The integration of single sign-on and the capacity to deploy on a distributed environment ensure scalability in a secure manner.
Finally, a rich REST API enables existing business applications to benefit from GenAI language assistants.
Conclusion
With Kairntech AI data teams, software vendors and system integrators can build a large number of customized GenAI language assistants and chatbots to deliver trusted and tangible business impact from documents.
We deliberately created a horizontal solution, not linked to any particular vertical or business solution. And we don’t consider that fine-tuning LLMs is a game we should play; we focus instead on all the other components in the RAG value chain. Our only goal is to deliver tangible business value by connecting ease of use and technology with your domain expertise.
The Kairntech Team