AI-Powered Customer Sentiment Analysis

Your customers tell you how they feel in every conversation.

Get that insight without surveys using faster, more consistent customer sentiment analytics.

Conversation View - Sentiment
Conversation View - Sentiment Gif

What we do

Loris turns your customer service conversations into usable answers, like:

  • “How do customers feel about my experience?”
  • “Which issues are causing frustration?”
  • “What can I do about it?” 

How we're different

With Loris, you get:

  • Library of proprietary AI models proven on 500+ million customer service interactions
  • Fast, accurate, and actionable insights from 100% of customer conversations
  • A complete, easy-to use QA and Customer Insight platform

Can't GPT do this?

Hear our Lead Machine Learning Scientist talk about why ChatGPT can’t keep up with the demands of enterprise customer service.

Click below to see the entire discussion on AI for Customer Sentiment analysis, covering everything from how it works to accuracy to how organizations are operationalizing sentiment.

Why Loris

Fast Deployment & ROI

Have a working Conversation AI Platform in weeks, not months. (Yes, really.)

Pre-trained AI Models

See results without long training cycles using our library of out-of-the-box models.

World-class Data Science Team

Let Loris update and maintain your AI platform. No need for ongoing maintence or retraining.

Instant Answers & Insights

Eliminate lengthy analysis, and just straight to the CX answers you need.

Some of Our Clients

Turning customer service conversations into usable insights.

Still have questions?
Talk to our team

Feel like chatting? Schedule a meeting to hear how Loris AI delivers real-time insights from millions of conversations.

More the quiet type? Download our AI whitepaper to learn more at your own pace.

AI Explainers: Using AI for Customer Sentiment

Wondering how AI can make it easier to understand your customers? Hear from our Lead Machine Learning Scientist on our approach to Customer Sentiment and why tools like ChatGPT fall short.