Earnings Call Dashboard for Financial Research
Challenge
Financial research firm needed a dashboard to process earnings calls from 500+ portfolio companies, extracting key insights and predicting sentiment with vocal tone AI models.
Design
We built a FastAPI backend to ingest transcripts and audio, plus a React dashboard to visualize sentiment, playback, and transcripts together. Audio is segmented for vocal-tone inference, results are cached for fast reuse, and the UI synchronizes sentiment timelines with transcript highlights so analysts can jump to moments that matter.
Implementation Highlights
- Audio sentiment runs on short overlapping windows to capture tone shifts over time.
- Sentiment is returned as a time series and rendered directly in the chart layer.
- The UI links playback time to transcript segments so researchers can quickly inspect key moments.
Interactive Architecture
Earnings Intelligence Pipeline
Navigate each stage from ingestion to PM-facing alerts.
Earnings audio + transcript
The pipeline combines spoken and textual context so models can read content and detect tonal shifts in executive communication.
Key signal: 500+ companies
Result
The dashboard is now serving as key alert tooling for portfolio managers, enhancing their decision making on the fly.
Takeaway
Being able to visually display negative and positive alerts across multiple companies was a key differentiator for the firm.
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