Every deployment generates its own intelligence
Every conversation returns structured signals: data you can act on or pipe into your own tools.
Six kinds of intelligence, from one conversation
Per-session conversation signals
Intent, topics, and outcomes captured as structured data on every conversation.
Knowledge-gap detection
The questions your content cannot yet answer. It doubles as a content roadmap.
Sentiment & response tracking
How messages land over time, and where confusion concentrates.
Heatmaps & graph views
Query privacy-stripped transcripts as heatmaps and graphs, by site and topic.
Structured summary outputs
Every session distilled to a structured template you define.
Analytics API & webhooks
Pipe signals into your BI and workflow tools. Events when they happen.
From conversations to a picture you can read
An illustration of the structured outputs. Ask in natural language, or pull the same signals through the analytics API.
Conversations cluster around company acquisition, communication, and job security. Tone skews toward worry and unease, suggesting these concerns run through the broader discussion.
Tone distribution
avg tone score per conversation (0–100)
Conversations over time
daily volume, last quarter
Conversation outcomes
198 conversations
Sentiment breakdown
share of conversations
Sentiment over time
scale −1 → 0 → +1
Slice it by place, or by period
Hold every signal up against another region or another stretch of time. See what moved, and where.
This quarter against last
Watch sentiment, outcomes, and topics shift as a rollout lands.
Site against site
Compare demand and sentiment across locations in the fleet.
See it on your own conversations
We'll show you a working assistant grounded in your own content, and the intelligence it returns.