LLAAMA PLATFORM, Agentic AI for Life Science
Updated 2025-09-10
Bernard Deffarges
LLAAMA PLATFORM
LLAAMA PLATFORM: an Agentic AI Platform for Healthcare and Biopharma.
LLAAMA PLATFORM is a Multi-Agent Generative AI engine to automate complex Life Science questions using LLMs, RAG, various data sources, knowledge graphs and symbolic reasoning engines.
The platform enables autonomous Graph-of-Thoughts AI with end-to-end streamed data.
A simple use case
Imagine, you would like to get summaries of all Pubmed abstracts returned when searching for “pancreatic cancer”, including synonyms and MESH terms.
You also want to use expert knowledge (e.g. pathways databases) that you consider as guardrails to avoid hallucinations.
On top of that, you want to distinguish the type of readers to return each one the most precise information. Indeed, biologists, physicians or patients have totally different perspectives on a disease.
The LLAAMA PLATFORM enables such scenarios out of the box, fully automated, fully streamed end-to-end.
In the LLAAMA PLATFORM, each node in the graph is a reasoning agent that does one unique task. All nodes together compose a Graph-of-Thought that become an AI assistant to the user.
Finally, the results can get cached for further exploration.
