Entropik

# High-Level Overview

Entropik is an Emotion AI platform company that helps brands and organizations understand consumer behavior by analyzing emotional and behavioral signals rather than relying solely on what people say[1]. Founded in 2016 in Bangalore, India, the company has built a unified research platform that combines surveys, interviews, facial expressions, eye movements, voice analysis, and brain signals to decode the "why" behind consumer decisions[1][4].

The company serves over 150 global brands across CPG, retail, media, telecom, and financial services[3]. Its core offering—the Decode platform—replaces multiple traditional research tools by integrating consumer insights, shopper behavior analysis, qualitative research, concept testing, and media validation into a single AI-powered system[2]. Rather than asking consumers what they think, Entropik measures what they actually feel, enabling organizations to make data-driven decisions about product development, marketing campaigns, and user experience design[1].

# Origin Story

Entropik emerged from a fundamental insight: most products fail because companies ignore how customers *feel*[1]. The company was founded in 2016 in Bangalore, India, positioning itself at the intersection of behavioral science and artificial intelligence[4]. Early recognition came in 2018 when Entropik won the Vodafone Talent Contest, validating its innovative approach to emotion detection[1]. By 2021, the company had established itself as a leader in the competitive Emotion AI technology landscape[1], expanding its presence across North America, Europe, the Middle East, India, and Southeast Asia[3].

# Core Differentiators

• Multimodal emotion detection: Entropik analyzes facial expressions, eye movements, voice tonality, and brain signals—not just survey responses—to capture genuine emotional reactions[1][3]

• Hardware-free eye tracking: The platform uses webcam-powered eye tracking without requiring specialized hardware, making advanced research accessible and scalable[2]

• Unified platform approach: Rather than forcing organizations to juggle 3-5 separate tools, Entropik consolidates consumer surveys, user testing, creative validation, and insight synthesis into one system[2]

• Predictive analytics: The platform doesn't just measure emotions; it predicts purchase intent, market success, and creative effectiveness before significant investment[2]

• Speed and automation: AI-powered analysis transforms raw interview footage and video feedback into structured, sentiment-rich insights instantly[2]

# Role in the Broader Tech Landscape

Entropik operates at the intersection of three powerful trends: the shift from opinion-based to data-driven decision-making, the rise of AI-powered behavioral analysis, and the growing recognition that emotional intelligence matters in product and marketing success[1]. As organizations increasingly recognize that traditional market research methods miss critical emotional drivers of consumer behavior, Entropik's Emotion AI platform addresses a genuine market gap.

The company's emphasis on "humanizing experiences" through AI reflects a broader industry movement toward human-centered design and empathy-driven product development[3]. By making deep emotional insights accessible to organizations of all sizes—from startups to Fortune 500 companies—Entropik democratizes research capabilities that were previously available only to well-resourced enterprises[1].

# Quick Take & Future Outlook

Entropik is well-positioned to capture growing demand for emotion-driven insights as brands increasingly recognize the limitations of traditional research methods. The company's expansion across multiple geographies and industries suggests strong product-market fit, while its unified platform approach creates natural opportunities for deeper customer integration and cross-selling.

Looking ahead, Entropik's influence will likely grow as AI-powered behavioral analysis becomes table stakes in product development and marketing. The company's ability to translate raw emotional data into actionable business intelligence—predicting what will work before expensive production or media spend—addresses a fundamental pain point in how organizations make decisions. As consumer expectations for personalized, emotionally resonant experiences continue to rise, platforms that can decode genuine human emotion will become increasingly valuable to the broader tech and business ecosystem.