Every conversation your organization has contains signals your ML models need. Customer calls reveal buying intent. Support tickets expose product friction. Interview transcripts capture technical depth. The problem is that those signals are buried in thousands of words of unstructured text.
Tools like Gong, Chorus, and conversation intelligence platforms are excellent for their designed purpose, but when you need to extract specific features for your ML models — with a schema you control completely — you need something different.