Two years ago, like everyone else, we got excited about Generative AI.
The promise was huge: scientists could query massive datasets, summarize clinical research in seconds, and extract insights from decades of literature.
And it worked… at least in demos.
But when we tried to deploy GenAI in real pharmaceutical workflows, we hit a wall.
A chatbot can summarize a clinical protocol.
But it can’t fix one.
It can suggest a molecule.
But it can’t check toxicity databases, schedule lab experiments, and update project systems automatically.
Drug discovery isn’t a prompt.
It’s a complex, multi-step workflow.
That realization pushed us toward something different: Agentic AI systems.
Instead of building one AI tool at a time, we started building the infrastructure to create them.
We call it an Agent Factory.
Full blog here:
https://capestart.com/technology-blog/beyond-genai-architecting-the-agent-factory-in-the-pharma-industry/