Millions of calls sat unused. Accurate transcription now feeds LLMs to extract sentiment and intent from every customer conversation.
A generative AI-native intelligence platform processes millions of customer interactions annually for clients including Ancestry.com and Centerfield.
Customer conversations hold vital business data, but much of this information remained unused due to the difficulty of processing audio at scale. The...
“Your customers are telling you what they want and need every single day, every single minute. You should learn from and act on every single one.”
Conversation intelligence platform for customer interaction and feedback analysis.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Manual reviews bottlenecked sales teams. AI now automates transcription and summaries, boosting lead-to-close rates by 27%.
Text-only tools left phone data dark. Precise transcription now feeds LLMs that score sentiment across 100% of voice calls.
Generic tools missed product names, skewing data. Tailored models now master niche jargon using just 20 hours of sample audio.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.