Understand what
customers mean
Upload support tickets, emails, chats, reviews, or survey responses. Get back structured sentiment scores, intent classifications, and priority tags from verified human evaluators.
From raw messages to structured signals
Four steps to turn unstructured customer communications into actionable data.
Upload communications
Import support tickets, emails, chat transcripts, reviews, or survey responses via CSV, text paste, or API.
Choose your analysis
Select from templates — sentiment analysis, intent detection, priority scoring — or build a custom taxonomy.
Human evaluators tag
Trained evaluators read each message and apply sentiment, intent, and priority labels with consensus validation.
Get structured insights
Export tagged data as CSV with confidence scores, or view aggregated trends in the analytics dashboard.
Four ways to analyze communications
Each analysis type comes with pre-built templates, rater guidelines, and quality controls.
Sentiment Analysis
Classify communications as positive, neutral, or negative with fine-grained emotional signals
Use Cases
- Customer satisfaction tracking
- Escalation routing
- CSAT prediction
- Agent performance feedback
Default Tags
Template Preview
See it in action
A real example of sentiment and intent tagging on a customer support ticket.
James Rodriguez
via Email · 3 hours ago
Hi team,
I've been trying to export my monthly report for the past two days, but the export keeps failing with a timeout error. This is really frustrating because I need these numbers for a board meeting tomorrow morning.
I also noticed that the dashboard loading time has gotten significantly worse since last week's update. Can you please look into both issues urgently?
Thanks,
James
Built for communication-heavy teams
Any Channel
Email, live chat, social media, app reviews, NPS surveys, call transcripts — we handle all text-based communication formats.
Multi-Signal Tagging
Apply sentiment, intent, and priority in a single pass. Each message gets a complete analysis, not just one label.
Consensus Validation
Multiple raters per message with inter-rater agreement scoring. Results you can build automation on.
Trend Detection
Track sentiment shifts over time. Spot emerging issues before they escalate into churn events.
Structured Export
CSV with sentiment scores, intent tags, priority levels, confidence metrics, and rater agreement per message.
Fast Turnaround
Most projects complete within 24 hours. Rush processing available for time-sensitive analysis.
Who uses sentiment & intent tagging?
Customer Support Teams
Route tickets by sentiment and urgency. Identify frustrated customers before they churn. Measure agent response quality.
Product Teams
Mine feature requests and complaints from support data. Understand what users actually want, not what surveys tell you.
Marketing Teams
Analyze campaign feedback, social mentions, and NPS comments. Track brand sentiment over time across all channels.
Sales Teams
Detect purchase intent signals in inbound communications. Score leads by urgency so reps prioritize hot opportunities.
CX & Voice of Customer
Build structured datasets from unstructured feedback. Create dashboards that show exactly what customers feel and need.
AI & ML Teams
Generate high-quality labeled training data for sentiment models, chatbot intent classifiers, and NLP pipelines.
Stop guessing what customers feel
Upload your first batch of communications and get structured sentiment, intent, and priority tags in hours.