How VERN AI Compares

The Emotion Recognition Advantage Others Can’t Match--And Why You Can't Live Without VERN AI.

AI that just understands words is outdated.

VERN™ AI understands how people feel—and that changes everything.

Here’s how we compare to other major players in sentiment analysis, voice/NLP platforms, and emotion tech (Google, Amazon, Hume, Kore and Other Sentiment Analysis):

How VERN AI Compares

VERN AI goes beyond sentiment. It detects real emotions in real time—sentence by sentence—across voice, chat, and avatars. Here's how we stack up.

Feature VERN AI Google NLP Amazon Comprehend Hume AI Kore AI Sentiment Tools
Detects specific emotions (anger, sadness, fear, joy)
Sentence-level analysis ⚠️ ⚠️ ⚠️
Real-time emotion scoring (0–100 scale)
Emotion trend tracking over time
Supports chat, voice, and avatars Voice only Dialog only Text only
Emotion regulation for AI responses
Customizable for your domain ⚠️
Transparent pricing ⚠️
Works without custom training data ⚠️ ⚠️
Includes full emotional products (Lemmy, AI Humans)

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Compare VERN to Other Tools & Methods

VERN Compared to Google

Shocking independent comparison: Vast majority of the so-called emotions labeled by Google’s tools were wrong.

See how VERN achieved two times the accuracy.

VERN Compared to Hume

Unlike Hume AI, which often misreads or flattens emotional nuance, VERN™ delivers sentence-level precision and consistent accuracy—capturing emotions that Hume frequently misses entirely. In side-by-side tests, VERN™ outperforms Hume in both detection reliability and practical use for emotionally intelligent AI systems.

VERN Compared to ChatGPT

See how Large Language Models (LLMs) of all kinds and models FAIL with emotion. (Spoiler alert: They hallucinate in the worst possible time to do so!)

Can you believe this is being used as a therapy tool? Without VERN AI, it’s merely guessing.

Lemmy Compared to ChatGPT

See how Large Language Models (LLMs) of all kinds and models FAIL with emotion. (Spoiler alert: They hallucinate in the worst possible time to do so!)

Why VERN is Superior to Sentiment Analysis

See how Large Language Models (LLMs) of all kinds and models FAIL with emotion. (Spoiler alert: They hallucinate in the worst possible time to do so!)

Why VERN is Superior to Sentiment Analysis in Chatbots

See how Large Language Models (LLMs) of all kinds and models FAIL with emotion. (Spoiler alert: They hallucinate in the worst possible time to do so!)

Unlock the true cost of incomplete customer insights-the sentiment analysis problem

“More than 70% of customer data is a black hole” 

Why It Matters

Other tools stop at sentiment.
VERN goes deeper—detecting emotional intensity and change as the conversation unfolds.

That means:

  • Your bot knows when someone’s getting upset

  • Your agent gets a real signal—not a vague vibe

  • Your team can track emotional trends over time, not just at a single moment

Use VERN to ENHANCE your Sentiment Analysis

VERN doesn’t have to replace your current sentiment analysis system. It can augment, and ENHANCE your current stack to provide much more value to stakeholders.

Real-World Impact

This analysis could SERIOUSLY IMPROVE CSAT SCORES!
Norm V
Business Development
Thank you for making AI truly empathetic. WE REALLY NEED THIS. This is GAME CHANGING!
AG
Patient Access

Want to See the Difference?

See how VERN compares in your own product or chatbot. We’ll show you side-by-side output—live.