Drugs repurposing and discovery requires data and knowledge graph enrichment
Bioinformaticians and research analysts struggle with the enrichment and update of knowledge graphs that describe relations between genes, molecules, diseases and drugs.
Can Kairntech’s AI solve these problems?
Knowledge graph enrichment through relation extraction
Automate knowledge graph enrichment
- Kairntech AI extracts entities and relationships from text content.
- Leverage public and private taxonomies and automatically enrich knowledge graphs using standardized data formats.
- Leverage LLMs to build question answering interfaces (RAG).
Always up-to-date knowledge graphs
- Make relevant information automatically available.
- Don’t miss out on new insights by relying only on outdated knowledge
Embed in business applications at scale
- Quickly build AI pipelines leveraging different NLP frameworks
- Embed within existing business application using a rich API
- Scale securely with Kairntech’s on premise deployment that supports a distributed environment
How does it work?
Prepare documents and relevant relations (large language models may help).
The AI learns from the examples you give it and suggests new relations to validate or reject.
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The AI automatically extracts and links the information you are looking and returns it in Graph format.
We’re here to help
100% secured, 100% transparent
All our data storage systems take into account the constraints of the GDPR.
Easy access for your teams while controlling each right of use.
In the cloud or on-premises, choose the mode that best suits your organization.
They trust us
Can it work for me?