| Speaking with customers in another language |
Hire multilingual agents or external interpreters |
AI translates conversations across 70+ languages in real time |
| Supporting global teams |
Communication slows due to language barriers |
Teams collaborate naturally with live AI voice and transcript translation |
| Reviewing customer calls |
Listen to recordings manually |
Read the AI Call Summary in seconds |
| Finding what was promised on a call |
Scrub through the audio manually |
Search the transcript by keyword |
| Capturing next steps |
Manual note-taking and follow-up
tracking |
Action items and decisions are auto-captured in Call Details |
| Following up with customers |
Depend on memory and CRM notes |
Access AI-generated context from previous conversations |
| Understanding customer experience |
Rely on agent notes and assumptions |
Use AI sentiment analysis and conversation insights |
| Spotting a bad customer interaction |
Wait for a complaint or a random QA sample |
Sentiment badge flags it the moment the call ends |
| Managing communication knowledge |
Valuable insights remain trapped in recordings |
Conversations become searchable business intelligence |
| Documenting multilingual calls |
Transcript only in the spoken language |
Live transcript in each participant’s preferred language |
| Coaching reps at scale |
Manager samples a handful of calls manually |
Sentiment and summary data available on every call, every rep |
| Reviewing recorded calls in another language |
Transcripts are only readable in the language in which they were recorded |
Post-call transcript translation into any of 70+ languages in the same workflow |
| Meeting security & compliance needs |
Varies by vendor, often unclear |
Designed to support GDPR, HIPAA, and SOC 2 compliance |