Echo AI
Voice data analysis
Millions of calls sat unused. Accurate transcription now feeds LLMs to extract sentiment and intent from every customer conversation.
- 18M calls analyzed annually via AI
- 100% analysis of customer calls
Text-only tools left phone data dark. Precise transcription now feeds LLMs that score sentiment across 100% of voice calls.
A conversation intelligence platform recognized among Europe's fastest-growing startups, helping high-volume B2C brands analyze customer interactions.
The company needed to expand beyond text-only analysis to capture the voice market and win enterprise contracts. However, processing calls with...
“We saw an opportunity in contact centers where companies have a ton of data and conversations happening, but they struggled to make good decisions. Their decision velocity was slow, and they relied heavily on hunches and anecdotal evidence.”
AI platform for contact center insights, anomaly detection, and agent coaching.
AI models for speech-to-text transcription and audio intelligence.
Related implementations across industries and use cases
Millions of calls sat unused. Accurate transcription now feeds LLMs to extract sentiment and intent from every customer conversation.
95% of recorded calls went unreviewed. AI now separates speakers live, feeding instant coaching cues to agents as they speak.
A custom pipeline struggled with overlapping speech. Replacing it cut maintenance and processes hour-long meetings in seconds.
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.