Imentiv

Imentiv is a multimodal emotion recognition platform that analyzes video, audio, image, and text to detect emotional and behavioral signals. Video analysis reads facial expressions, personality traits, and emotional intensity; audio analysis maps a set of universal emotions (happy, sad, angry, fear, surprise, disgust, boredom, neutral) onto a real-time valence-arousal graph; text analysis uses NLP to identify a wider range of emotions such as curiosity, gratitude, and disappointment. A large language model layer sits on top of these signals so users can ask natural-language questions about the media being analyzed and receive summarized insights. The platform is aimed at enterprises rather than individual consumers, with stated use cases spanning product testing, sales call review, leadership coaching, recruitment, and advertisement evaluation. Imentiv exposes REST APIs with Python, JavaScript, and Java SDKs so the emotion-analysis engine can be embedded into CRM, HR, and customer-support workflows, and it offers cloud, private cloud, or on-premise deployment along with GDPR-aligned data handling. One limitation: pricing is not published outright; the site references a credit-based usage system and tiered plans without listing concrete figures, so prospective buyers need to contact sales to understand actual costs.