Generic tools missed product names, skewing data. Tailored models now master niche jargon using just 20 hours of sample audio.
A sales enablement platform analyzes customer conversations to provide real-time guidance and revenue optimization insights.
Generic speech recognition models failed to accurately transcribe industry-specific product names and company identifiers essential for analysis....
“You can build the most cutting edge AI model, but if you don’t put good data in, you’re not going to get good results.”
AI sales engagement and conversation intelligence platform for Salesforce teams.
Voice AI platform for speech-to-text, text-to-speech, and conversational agents.
Related implementations across industries and use cases
Inaccurate transcripts skewed context. AI models now deliver >90% accuracy, helping managers track sentiment and verify compliance.
Inaccurate transcripts skewed call context. With >90% accuracy, managers now search calls to spot disgruntled customers and coach agents.
Noisy field calls broke legacy transcription. AI now accurately separates speakers, cutting support tickets by 90%.
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.