Transcripts mask uncertainty. Models now track vocal stress and facial cues to predict policy shifts that text tools miss.
A UK-based fintech startup recognized by the Santander University Startup Grant, analyzing central bank communications to decode emotional undercurrents for financial institutions.
Traditional sentiment tools rely solely on text transcripts, missing critical non-verbal signals like vocal stress or facial micro-expressions in...
Emotion AI platform analyzing facial, vocal, and linguistic signals for business insights.
AI platform for building expressive, emotionally intelligent voice applications.
Related implementations across industries and use cases
Manual tests missed emotional cues. Simulations now stress-test agent empathy, catching failures before they reach real users.
Retrieval tools missed critical footnotes. Reasoning agents now cross-check data to build audit-ready investment memos.
Teams were blind to confusion. Now, AI tracks 48 emotions per word, flagging anxiety to guide targeted coaching.
Click metrics missed weak signals in player feedback. Gemini now analyzes unstructured comments to detect negative trends instantly.
Managers manually tracked monthly volume. AI now analyzes 80,000 entries an hour to reveal long-term sentiment trends.
Advisors hunted data across five systems. GenAI now builds traceable meeting packs, saving 4,700 hours a year.
35M customers waited in queues for payment updates. Now, a voice agent resolves routine calls instantly, leaving complex issues to humans.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.