
Understand how customers, employees, and the public truly feel about your brand β at scale, in real time, across every channel they use to express it.
94.7%
Sentiment Accuracy
50+
Languages Supported
1M+
Texts/Hour Capacity
Real-Time
Live Monitoring
"Absolutely love the product! Best purchase this year."
Implementation
Connect social media APIs, review platforms, CRM, helpdesk, survey tools, and email systems via pre-built connectors.
Text preprocessing, language detection, and domain-specific sentiment models analyze each piece of feedback.
Sentiment scores, emotion labels, aspect tags, and intent signals are generated for every text unit.
Insights flow to dashboards, CRM systems, and alert channels. Automated workflows trigger responses for high-priority items.
Core Capabilities
Beyond positive/negative β detect joy, frustration, urgency, confusion, and 12 other specific emotions with fine-grained scoring.
Identify sentiment toward specific aspects (product quality, delivery speed, customer service) within a single piece of feedback.
Identify emerging sentiment trends before they become crises. Anomaly detection alerts when sentiment shifts significantly.
Analyze sentiment in 50+ languages with language-specific models that understand cultural nuance and idioms.
Instant alerts when negative sentiment spikes, specific keywords appear, or sentiment thresholds are breached.
Monitor and compare sentiment for your brand vs. competitors across social media, review sites, and news sources.
Push sentiment scores to Salesforce, Zendesk, HubSpot, and ServiceNow to prioritize high-risk customer interactions.
Detect churn intent, purchase intent, escalation intent, and other actionable signals within customer communications.
Real-World Impact
Identified 3 product defects 6 weeks before they became returns crises; customer satisfaction up 12%; return rate down 18%.
Analysis time reduced from 3 weeks to real-time; detractor-to-promoter conversion rate up 23%; churn reduced 14%.
Identified 3 underperforming departments; targeted interventions improved HCAHPS scores 18 points; CMS star rating improved.
Detected negative sentiment spike 48 hours post-launch; product formula adjusted before major retailer rollout; $12M crisis avoided.
Turnover reduced 22% in 18 months; identified 3 management issues before they caused mass resignations; eNPS up 28 points.
Programming decisions accelerated from quarterly to weekly; 3 shows renewed based on sentiment signals before ratings data available.
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Versatile Deployment
Click any feature below to see an interactive demo of exactly how it works in production.
"Outstanding customer service!"
Continuously analyzes incoming customer reviews from Yelp, Google, Amazon, and social media β classifying sentiment and surfacing urgent issues instantly.
Serving Businesses Across the US & Canada
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