I use this for a document and regulations knowledge layer for agentic workflows for pharmaceutical dossiers.
Integrated knowledge layer has transformed complex regulatory dossiers into fast, accurate agent workflows
What is our primary use case?
How has it helped my organization?
I find it simplifies a very complex use case effectively. It understands dossier registration regulations and provides agents with the right context to apply regulations in just a few seconds. It is also capable of reviewing affected sections in thousands of dossier pages to submit changes in a dossier affected by a change in a production process.
What is most valuable?
The AI knowledge layer provides life sciences context and reasoning to agentic workflows.
What needs improvement?
There is none so far.
For how long have I used the solution?
I have used this solution for 1 year.
Which solution did I use previously and why did I switch?
I used a vector RAG infrastructure that did not work.
What's my experience with pricing, setup cost, and licensing?
The setup cost is perfectly affordable compared to the value that it delivers.
Which other solutions did I evaluate?
I considered alternate solutions, but Newton is focused on life sciences, so it is much more accurate than other platforms.
What other advice do I have?
It is perfect to add an integrated knowledge layer to multiple agentic use cases in life sciences.
