WhatConverts
Call transcription
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
- Up to 10% improvement in transcription accuracy
Noisy field calls broke legacy transcription. AI now accurately separates speakers, cutting support tickets by 90%.
A coaching platform for field sales teams in industries like HVAC and home improvement, where representatives operate autonomously across dispersed regions.
Field recordings frequently contain background noise and varying accents, which a legacy speech-to-text provider could not accurately transcribe or...
“Salespeople aren't getting proper coaching.”
AI sales coaching platform for recording and analyzing in-person conversations.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
95% of recorded calls went unreviewed. AI now separates speakers live, feeding instant coaching cues to agents as they speak.
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.