VERN
VERN AI offers a patented emotion recognition system that provides real-time analysis of human emotions within communications. Founded on a decade of research in psychology, linguistics, and AI, VERN detects emotions like anger, sadness, fear, love/affection, and humor at the lexical and corpus levels. Their solutions include Lemmy, an emotion-aware ChatGPT wrapper; AI Humans, photorealistic avatars with emotional intelligence; AI Voice Bots that adapt to user sentiment; and custom chatbots with embedded VERN technology. VERN's primary business model is SaaS, with API access priced per query or via tiered monthly plans, and custom pricing for specific product configurations. They aim to make AI more human-aware and empathetic, improving customer service, mental health applications, and internal communications.
VERN
VERN AI offers a patented emotion recognition system that provides real-time analysis of human emotions within communications. Founded on a decade of research in psychology, linguistics, and AI, VERN detects emotions like anger, sadness, fear, love/affection, and humor at the lexical and corpus levels. Their solutions include Lemmy, an emotion-aware ChatGPT wrapper; AI Humans, photorealistic avatars with emotional intelligence; AI Voice Bots that adapt to user sentiment; and custom chatbots with embedded VERN technology. VERN's primary business model is SaaS, with API access priced per query or via tiered monthly plans, and custom pricing for specific product configurations. They aim to make AI more human-aware and empathetic, improving customer service, mental health applications, and internal communications.
TL;DR
Product: Patented emotion-recognition system (ERS) delivering real-time emotional scores per sentence
Business model: SaaS with API access (per-query or tiered monthly plans) and custom enterprise pricing
Use cases: Emotion-aware chatbots/voicebots, contact-center routing, conversational analytics, mental-health apps
Location & size: East Lansing/Lansing, Michigan; ~5 employees
Company Overview
Problem Domain
Emotion recognition / affective computing for conversational AI and analytics
Industry
Artificial Intelligence / NLP / Affective Computing
Funding Track Record
Total Funding: 0.00 USD