affective-computing
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Lava Kumar
Lava Kumar is the co-founder and Chief Product Officer of Entropik, a Bengaluru-based Emotion AI company that reads human reactions across facial expression, voice, gaze and attention. After nearly two decades building products at Yahoo, Motorola, Wipro, Operative and Integral Ad Science, he returned from the US in 2016 to co-found Entropik and turn affective computing into a working business tool. He leads Decode, the company's integrated human insights platform, and has become a recognizable voice arguing that market research should measure how people actually feel, not just what they say.
Entropik
Entropik is a deep-tech company that builds a unified human insights platform powered by Emotion AI, Behavior AI, and Generative AI. Founded in 2016 in Bangalore, it uses facial coding, eye tracking, and voice AI - backed by 17 global patents - to decode why consumers make decisions, not just what they do. Its flagship products, Decode and Qatalyst, let brands run quantitative, qualitative, media, and shopper research at scale, replacing slow traditional market research with real-time, AI-driven insights used by companies like P&G, Nestle, and JP Morgan.
IPMD, Inc.
IPMD, Inc. is a San Mateo-based emotional AI company building software that reads human feelings from faces, voice, and language. Its flagship platform, Project M - now evolving into EchoAI - uses custom CNN-based deep learning to classify eight core emotions across roughly 400,000 intensity variations, reporting up to 96% ROC/AUC accuracy. Founded in 2016 out of UC Berkeley after the loss of a student to depression, IPMD applies its 'human-centered' emotional AI to telemedicine, mental-health support, and hiring, and is pursuing an FDA-regulated medical-device pathway.
Min Lee
Min Lee is the founder, CEO and president of IPMD, Inc., a San Mateo emotional-AI company born at UC Berkeley in 2016. He led the build of EchoAI (also known as Project M), a human-centered emotional-AI platform that reads facial micro-expressions, tone, and language to classify human emotion with a reported 96% comprehension rate - trained over 130,000 hours by a team of roughly 500 collaborators. In 2025 he was named a Visionary CEO in Emotional AI by Business Worldwide Magazine.