Intonation AI
Voice Pattern Recognition for Client-centric Businesses
Company Overview
Snapshot
Founded in May 2022 by Evgeniy Berger, Amit Bohensky, Dr. Yoram Levanon, and Dr. Josheph Arye, Intonation AI operates with 1-10 employees. The company is currently in the Pre-Funding stage, focusing on developing its AI-powered voice pattern recognition solution.
Business overview
Intonation AI develops a solution that optimizes interpersonal communication within organizations by capturing conversation tone and providing client-facing employees with actionable insights. Their core technology identifies voice patterns, constructs templates, and automatically classifies conversations based on emotional components and tone intensity. The company serves various markets, including security, customer service, HR, and marketing & sales, operating within the Business Software sector, specifically in Data Analysis & Decision Support and Artificial Intelligence.
Log in to access full profile ›Company Intelligence Q&A
- What is Intonation AI's primary focus?
- Intonation AI focuses on optimizing interpersonal communication within organizations by developing an AI-powered solution that analyzes voice patterns to provide client-facing employees with actionable insights.
- What technology does Intonation AI utilize?
- Intonation AI utilizes artificial intelligence and voice recognition technology to identify voice patterns, construct templates, and automatically classify conversations based on emotional components and tone intensity.
- Who are the founders of Intonation AI?
- Intonation AI was founded by Evgeniy Berger, Amit Bohensky, Dr. Yoram Levanon, and Dr. Josheph Arye.
- What industries does Intonation AI serve?
- Intonation AI serves industries such as security, customer service, HR, and marketing & sales, applying its technology to enhance communication and risk mitigation.
- What is Intonation AI's current product development stage?
- Intonation AI's product is currently in the Alpha stage of development, focusing on refining its core voice pattern recognition technology and preparing for initial pilot programs.