Transcripts lacked precision for ranking leads. AI now separates speakers and automatically scrubs credit card data from audio.
A marketing attribution platform integrates with channels like Google and Facebook Ads to help businesses track campaign performance and prioritize incoming phone leads.
Automated transcription is critical for ranking leads, but the platform required higher accuracy to ensure reliable analysis for its users. The...
Lead tracking and marketing attribution software for calls, forms, and chats.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Inaccurate transcripts skewed context. AI models now deliver >90% accuracy, helping managers track sentiment and verify compliance.
Noisy field calls broke legacy transcription. AI now accurately separates speakers, cutting support tickets by 90%.
Manual reviews bottlenecked sales teams. AI now automates transcription and summaries, boosting lead-to-close rates by 27%.
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.