Your Data. Every Insight.
Fully Yours.

Know How Every Caller Feels. In Real Time.

Stellar Engage's NLP engine scores every conversation across seven emotional dimensions, Joy, Confidence, Sadness, Anger, Fear, Analytical, and Tentative, mapped to the topics being discussed. Supervisors see exactly where friction points arise and can intervene before a call escalates.

• 7-dimension sentiment scoring per conversation
• Topic-level sentiment mapping, see which issues trigger negative emotion
• Trend tracking over time, identify systemic service gaps
• Compliance flagging, surface calls that need review

See What's Coming Before It Arrives.

By analyzing topic frequency across thousands of calls over time, Stellar Engage's trend engine surfaces emerging issues before they become crises. See call volume spikes by topic, day, and hour, and staff your center accordingly.

• Call volume by month, day, and time-of-day interval
• Topic frequency trending, what are callers asking about most?
• Busy day/time heatmaps, optimize staffing in advance
• Year-over-year comparison for capacity planning

The Language of Your Callers. Decoded.

Stellar Engage uses deep learning-based NLP to extract named entities, classify topics, and perform part-of-speech analysis across every transcript. The result: a searchable, structured knowledge base of everything your callers have ever said.

• Named entity recognition, extract names, dates, IDs, and more
• Topic extraction across every call, automatically categorized
• Full-text search across all recorded conversations
• Machine learning improvement, accuracy increases over time

Ask Your Data in Plain English.

The Engage AI Assistant is built directly into the analytics dashboard. Instead of building custom reports, supervisors and executives can simply ask, and get an immediate, AI-generated answer with supporting data.