AI-classification
Our AI Classification engine uses supervised and unsupervised machine learning models to automatically tag, route, and prioritize conversations, support tickets, leads, or user intents at scale. It’s fast, accurate, multilingual, and completely customizable to your business logic.
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Core Capabilities
Multi-Label Classification
Multi-Label Classification
Intent Classification
Intent Classification
Topic & Issue Detection
Topic & Issue Detection
Custom Model Training
Custom Model Training
Language-Agnostic Engine
Language-Agnostic Engine
Secure, Scalable, and Flexible
On-prem, cloud, or hybrid deployment
SOC2, HIPAA, GDPR compliant
Integrates with CRMs, Helpdesks, Contact Centers
Works with REST API, WebSocket, and Streaming
Top Use Cases
Ticket Triage – auto-route support cases
Call Center Tagging – classify call reasons
Feedback Bucketing – organize comments by themes
Marketing Segmentation – categorize leads by intent
Agent Assist – suggest tags or next-best actions
How It Works
01.
Voice/text data is ingested and normalized
02.
ML models analyze for topics, intents, and urgency
03.
Structured tags are returned via API or pushed into your CRM
04.
Optional feedback loops for continuous learning
Performance
Metrics
(Typical)
Metric
Value
Classification Accuracy
90–95%+
Average Tag Latency
< 500ms
Language Support
40+ Languages
Connect Rate
+45% via AI Time Optimization
