Lang.ai

AI analytics platform that automatically tags and analyzes customer service conversations.

Best for: No manual tagging needed Not ideal for: Pricing high for small teams
Price From $299/mo
Free plan No
For Business teams
Level Beginner
Updated Apr 2026
Category AI Customer Service
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01

Why choose Lang.ai

Lang.ai is an AI-powered customer service analytics platform that automatically analyzes support conversations to identify trends, issues, and opportunities. It tags and categorizes every conversation using AI, providing actionable insights to improve customer experience without requiring manual tagging or complex setup.

  • +No manual tagging needed
  • +Identifies hidden issues
  • +Predicts CSAT
  • +Fast implementation
02

Where it falls short

  • Pricing high for small teams
  • Analytics only (no automation)
  • Limited direct customer interaction
03

Best for these users

👤
Target audience
Business teams, knowledge workers
📌
Best for
No manual tagging needed
Skip if you need
Pricing high for small teams
04

Pricing overview

Paid From $299/mo Free plan: No

Plans from $299/month. Enterprise pricing available.

Check current pricing →
05

Key features

Automatic conversation tagging
Trend and issue identification
CSAT prediction
No-code setup
Integration with major platforms
Actionable insights dashboard
07

Alternatives to Lang.ai

Ada

No-code AI chatbot platform that automates customer support across multiple channels.

Intercom AI (Fin)

GPT-4 AI chatbot that resolves customer inquiries instantly by searching your knowledge base.

LivePerson

Enterprise conversational AI platform for automating complex customer interactions at scale.

Zendesk AI

AI-powered customer service platform with intelligent ticket routing and agent assistance.

Answerly

AI chatbot that instantly answers questions using your existing website content.

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Related comparisons

09

The verdict

Lang.ai Paid

Lang.ai is a solid choice for business teams who need no manual tagging needed. At starting at $299/mo, it delivers good value. Main caveat: pricing high for small teams. Compare with alternatives before committing.