US 11,403,596 B2 · First filed October 2018 · Granted August 2022
Integrated framework for managing human interactions
Our first filing, from when Symbl was still called Rammer. It lays out the whole pipeline as one system: audio and video come in from wherever conversations happen, live or recorded, get turned into text and then a single unified dataset, and from there it works out the context of each conversation and flags the moments that don't fit it. Those get resolved into pending items, the action items, follow-ups, and questions someone would otherwise track by hand. The later patents each go deeper on one piece of this.
Google Patents →
US 11,093,718 B1 · Granted August 2021
Determining conversational structure from speech
Raw transcripts are a wall of words. This patent covers detecting the structure hiding inside live speech (who is addressing whom, what refers to what) so downstream systems have something to reason over.
Google Patents →
US 11,263,407 B1 · Granted March 2022
Determining topics and action items from conversations
The heart of conversation intelligence: surfacing what a meeting was actually about and what people committed to do, in real time, from messy, multi-party speech, years before LLMs made this look easy.
Google Patents →
US 11,302,314 B1 · Granted April 2022
Tracking specialized concepts, topics, and activities in conversations
Every customer cares about different concepts: their product names, their objections, their compliance phrases. This covers following those custom concepts through live conversations without retraining, by expanding a small tracker vocabulary through a universal model.
Google Patents →
US 11,599,713 B1 · Granted March 2023
Summarizing conversational speech
Summarizing dialogue is nothing like summarizing documents: meaning is co-constructed across turns, corrections, and interruptions. This covers our approach to compressing spoken conversations without losing what mattered.
Google Patents →