The Ultimate Market Intelligence Guide to the Entropik Human Insights Platform
Entropik operates as an enterprise-grade Human Insights Platform, engineered to quantify and analyze multimodal user feedback through advanced Artificial Intelligence. The software specializes in Emotion AI and behavior analytics, capturing real-time facial expressions, eye movements, and vocal tonality to bridge the gap between self-reported survey data and actual user intent. This guide provides a comprehensive, data-driven analysis of the platform, detailing its technical ecosystem, operational capabilities, competitive positioning, and enterprise scalability for market research and product development teams.
Entropik Company Overview
The organization is a global B2B Software-as-a-Service (SaaS) provider specializing in affective computing and behavioral research technology. Headquartered dually in Bengaluru, India, and Austin, Texas, Entropik was established under the leadership of founders Ranjan Kumar, Lava Kumar, and Bharat Singh Shekhawat.
The core value proposition of the company centers on its proprietary Decode platform. Decode unifies quantitative data and Automated Qualitative Research into a single centralized repository. By eliminating the reliance on subjective human moderation and manual transcription, the platform enables enterprise research, marketing, and UX teams to precisely Decode real consumer behavior at scale. The software shifts the research paradigm from traditional, hardware-dependent laboratory testing to agile, webcam-based multimodal analysis, allowing global organizations to extract objective emotional and cognitive intelligence directly from their target audiences.
Entropik Company History & Milestones
Timeline of Key Events
February 2016: Entropik was founded in Bengaluru, India, by Ranjan Kumar, Lava Kumar, and Bharat Singh Shekhawat, securing an initial seed funding round of $200,000 to initiate proprietary algorithm development.
2017: The organization gained early enterprise ecosystem integration by entering the SAP Startup Studio accelerator program.
July 2018: The company secured $1.1 million in pre-Series A funding. This capital facilitated an initial global market expansion into the United States, Australia, Singapore, and Indonesia.
2019: Entropik achieved an 11x year-over-year revenue increase, scaling its enterprise user base to over 80 global organizations, including major financial and technology brands.
2020: The organization closed an $8 million Series A funding round to accelerate research and development.
2021: The company executed a broader geographic expansion, scaling commercial operations across the United States, Europe, the Middle East, and Southeast Asia.
February 2023: Entropik completed a $25 million Series B funding round led by Bharat Innovation Fund, bringing total capital raised to over $35 million. This funding drove the consolidation of its enterprise research tools into a unified infrastructure.
2024: The company secured enterprise recognition in the G2 Fall Report for market research and user experience management, further solidifying its position in the SaaS insights category.
Product Launches
2017: Released the initial Emotion AI Stack featuring brainwave mapping capabilities. This launch secured the company’s first global patent claim in affective computing.
2018: Launched Affect Lab (Affectlab.io), the first iteration of the company’s multi-modal research platform. This system integrated facial coding, eye tracking, and EEG data collection into a single dashboard.
2020: Deployed the Shopper Insights solution, designed to simulate retail environments and analyze quantitative consumer behavior across both physical and e-commerce contexts.
2021: Introduced hardware-free, multi-platform eye-tracking technology capable of operating through standard webcams. Concurrently, the company launched interactive virtual shopper research environments.
October 2023: Unveiled Qatalyst, an integrated AI user research platform. This release incorporated OpenAI API integration, click tracking, automated journey mapping, and robust behavioral analytics to support agile product teams.
2024: Introduced AI-generated research reports alongside the centralized Decode platform. This marked the organization’s full transition toward autonomous, AI-moderated qualitative analysis and unified data consolidation.
Entropik Financials & Key Metrics
| Metric | Financial Data & Operational Scale |
| Annual Revenue | ₹47.4 Cr+ (FY23) representing ~189% Year-over-Year (YoY) growth. |
| Funding Rounds | $35M+ in total capital raised across 7 investment rounds. |
| Employee Count | Estimated 100–200 global employees across engineering, research, and corporate operations. |
| IPO Status | Privately held entity; no Initial Public Offering (IPO) filed. |
Annual Revenue: The organization demonstrated significant fiscal acceleration, recording ₹47.4 Cr+ in FY23. This financial performance equates to an approximate 189% YoY growth rate compared to the preceding fiscal period.
Funding Rounds: To date, Entropik has secured over $35 million in total venture capital. This capitalization was executed across 7 distinct funding events. The most notable capital injection was a $25 million Series B equity round closed in February 2023, led by Bessemer Venture Partners and SIG Venture Capital, alongside participation from the Bharat Innovation Fund.
Employee Count: The organizational footprint and product development of Entropik are supported by an estimated global workforce ranging from 100 to 200 employees.
Initial Public Offering: The company currently operates as a privately held enterprise. There is no active Initial Public Offering (IPO) filing, and the software provider remains fully capitalized by private venture equity and corporate investment frameworks.
Acquisitions, Partnerships & Ecosystem
To scale its enterprise footprint and enhance the deployment of its Emotion AI technology, Entropik has executed key strategic corporate movements focused on robust ecosystem integrations and incubator partnerships. The organization operates a partner-centric model to extend the capabilities of its Human Insights Platform across global markets.
Strategic Accelerator Partnerships: In its early operational stages, Entropik aligned with major enterprise technology accelerators to validate and scale its proprietary algorithms. Notable partnerships include integrations with the SAP Startup Studio, Accenture Ventures, and the Plug and Play accelerator network. These strategic alliances provided critical infrastructure support and established initial pathways for enterprise-level client deployments within the broader SaaS ecosystem.
Global Panel Integrations: To facilitate instantaneous, borderless research, the platform natively integrates with leading global research panel providers, most notably Cint and Dynata. This ecosystem integration provides enterprise users with immediate access to over 100 million respondents across 120 countries. By embedding these external panel networks directly into the platform, organizations can autonomously recruit and test highly specific B2B and B2C demographics at a global scale without leaving the software interface.
Channel and Agency Ecosystem: Entropik operates a dedicated partner program that integrates independent research agencies, consultancies, and resellers into its corporate ecosystem. This infrastructure allows certified partners to utilize the proprietary Emotion AI and behavioral analytics tools—such as facial coding and eye tracking—as a white-labeled service, driving further adoption of the technology across the market research industry.
Entropik Awards and Recognitions
The market validation and technological credibility of the organization are substantiated by industry accolades and an extensive intellectual property portfolio. Entropik has consistently secured enterprise-level acknowledgment for its Emotion AI capabilities and research frameworks from leading software analyst firms and scientific bodies.
2024: Achieved recognition in the G2 Fall Report for the Decode and Qatalyst platforms. This acknowledgment validated the operational efficiency and enterprise adoption of the software within the broader market research technology sector.
2021: Acknowledged as a Leader in the Gartner Magic Quadrant for Voice of the Customer Solutions, highlighting the capacity of the platform to extract actionable cognitive insights beyond traditional survey data.
2018: Received the Amazon AI Award, establishing early-stage market credibility for its initial behavioral tracking and algorithmic models.
Industry-Specific Honors: Awarded the Aegis Graham Bell Award for “Innovation in Retail,” validating the specific application of its Shopper Insights methodologies and visual attention modeling within commercial environments.
Scientific Innovation & Intellectual Property: Beyond commercial awards, Entropik holds 17 global patents in Multi-Modal Emotion AI technologies. This patent portfolio serves as a foundational recognition of scientific innovation, verifying the proprietary accuracy of its facial coding, webcam-based eye tracking, and voice tonality frameworks.
Entropik Target Industries
The Entropik Human Insights Platform is engineered to adapt its behavioral and emotional analysis tools across highly regulated and visually competitive sectors. By standardizing how human reactions are quantified, the software serves distinct operational use cases across five primary enterprise industries.
Consumer Packaged Goods (CPG): CPG brands utilize the platform to reduce the innovation risk associated with launching new physical SKUs. Market research teams deploy Entropik for rigorous Packaging Design Testing, utilizing webcam-based eye tracking to evaluate label readability, design impact, and brand recall before initiating physical production. Furthermore, the platform conducts comprehensive Shelf Visibility Analysis through simulated retail environments, allowing CPG enterprises to measure time-to-first-fixation and predict purchase intent in cluttered grid environments.
Retail & E-commerce: For digital storefronts, optimizing the omnichannel path to purchase is critical. Retail teams leverage Consumer Insights to uncover emotional friction within shopping carts and checkout flows. By tracking visual attention heatmaps and gaze paths on product pages, e-commerce brands use the platform to refine mobile layouts, optimize call-to-action placements, and ultimately lift average order values.
Financial Services (BFSI): Trust and security are paramount in digital banking. Financial institutions deploy Entropik to optimize onboarding flows, measure user anxiety during security checks, and simplify jargon-heavy product education pages. The software’s Emotion AI detects subtle signals of confusion or hesitation, allowing banks to design intuitive digital experiences that drive digital adoption rather than abandonment.
Technology & Software: Product management and UX/UI design teams within the software sector utilize the platform for agile product validation. The software integrates directly into the development lifecycle, allowing tech companies to run rapid, unmoderated prototype tests to identify user friction, validate wireframes, and test in-app navigation before committing to engineering resources.
Healthcare & Pharma: The platform enables healthcare providers and pharmaceutical companies to design empathetic care models and clear patient communications. By decoding the emotional resonance behind patient interactions, educational videos, and health portals, the software ensures that complex medical information is delivered with clarity and instills confidence without violating patient privacy compliance.
Entropik Industry & Market Position
Entropik operates within a highly specialized intersection of enterprise software, replacing legacy feedback mechanisms with predictive behavioral models. The organization has established a distinct market footprint by productizing cognitive analysis for scalable corporate deployment.
Industry Classification: The software is categorized within the Enterprise Tech, Market Research SaaS, and Emotion AI sectors. By integrating Affective AI frameworks into standard qualitative workflows, the platform bridges the gap between traditional survey aggregation and applied neuromarketing.
Market Segment: Entropik primarily services the Mid-market to Enterprise segment. The platform is engineered for deployment by Heads of Consumer Insights, Chief Product Officers (CPOs), and Directors of User Experience at global Fortune 500 corporations and scaling digital-first enterprises.
Competitive Advantages: The primary operational differentiator for Entropik is its capacity to shift enterprise research from subjective, traditional panel surveys to real-time multimodal emotion tracking without hardware dependencies. Rather than relying on post-interaction questionnaires or expensive, laboratory-bound equipment (such as specialized eye-tracking headsets or physical EEG sensors), the software captures facial micro-expressions, vocal tonality, and eye gaze utilizing standard device webcams and microphones. This hardware-agnostic infrastructure allows organizations to execute global studies autonomously and extract objective, unstated user responses rapidly.
Proprietary Technology: Patents and Scientific Accuracy
To optimize enterprise research workflows, Entropik relies on a foundation of scientifically validated, proprietary algorithms. The platform’s underlying architecture is built upon extensive multimodal data sets, ensuring high levels of Emotion AI accuracy across all feedback capture points.
The following technical specifications detail the quantitative benchmarks and intellectual property driving the platform’s analytical capabilities:
| Technical Parameter | Specification & Benchmark | Operational Capability |
| Intellectual Property | 17 Global Patents | Entropik AI patents cover advanced Multi-Modal Emotion AI technologies, securing the proprietary nature of their behavioral algorithms and data processing frameworks. |
| Facial Emotion Recognition | 90%+ Accuracy | The facial coding methodology operates by tracking and analyzing 62 distinct facial micro-expressions in real-time, functioning through standard consumer device lenses. |
| Gaze & Attention Tracking | 96% Accuracy | Delivers high webcam eye-tracking precision by mapping visual attention, gaze duration, and focal points without the requirement of laboratory-grade VR or external eye-tracking hardware. |
| Model Training Base | 7.8 Million+ Minutes of Data | The foundational machine learning models are trained on an extensive repository of multimodal data (encompassing eye gaze, facial coding, and brainwaves), derived from over 70,000 consumer experiences and 45,000 media experiences. |
A Technical Breakdown for Emotion AI
To operationalize Emotion Analysis at an enterprise scale, Entropik structures its proprietary technology across three primary multimodal data streams. This multi-layered architecture captures subconscious user responses and cognitive states that traditional, self-reported surveys cannot measure.
The following data table outlines the specific data inputs and tracking capabilities of the core AI engines:
| AI Engine Capability | Data Inputs & Measured Metrics |
| Facial Emotion AI | Measures 7 core micro-expressions (joy, surprise, sadness, anger, fear, disgust, and contempt) in real-time through standard computer vision and device webcams. |
| Voice Emotion AI | Analyzes tone, pace, and vocal inflections to determine underlying emotional intensity, sentiment shifts, and user confidence during spoken interactions. |
| Attention Measurement | Combines gaze tracking, head pose, and facial orientation to quantify visual focus, map engagement heatmaps, and detect cognitive drop-offs. |
The "Old Way vs. New Way" Framework for AI-Moderated Research
To resolve the historical bottlenecks associated with traditional qualitative studies, Entropik has engineered a proprietary AI Moderator that shifts enterprise feedback collection from manual moderation to Automated Qualitative Research. This transition enables organizations to scale unmoderated interviews globally without sacrificing the depth of human-led probing.
The following framework illustrates the operational shift from legacy focus groups to AI-driven qualitative data capture:
| The “Old Way”: Traditional Focus Groups | The “New Way”: Entropik AI-Moderated Research |
| Recruitment Time & Bottlenecks: Relies on manual participant screening, scheduling conflicts, and geographic limitations, often extending research timelines by weeks. | Automated Scheduling & Scale: Participants engage asynchronously on-demand across 70+ languages, allowing teams to run hundreds of interviews simultaneously without logistical constraints. |
| Subjective Bias & Variance: Human moderators inherently introduce leading questions, inconsistent probing, and variable session quality across different interviewers. | Objective Sentiment Analysis: The AI executes consistent, bias-free moderation, utilizing dynamic probing based on real-time emotional cues rather than pre-scripted assumptions. |
| Manual Transcription & Synthesis: Requires significant operational hours to transcribe audio, tag themes manually, and synthesize fragmented data into cohesive reports. | Instant Thematic Extraction: Delivers automated transcripts, highlight clips, and structured theme analysis the moment a session concludes, drastically accelerating time-to-insight. |
Global Panel Infrastructure and Autonomous AI Agents
To eliminate the logistical friction of traditional participant recruitment, Entropik has engineered autonomous workflows that consolidate the entire research lifecycle into a single platform. This infrastructure replaces manual scheduling and external agency dependency with rapid, AI-driven deployment.
Specialized Personas: To execute highly targeted research methodologies without human intervention, the Decode platform utilizes role-specific AI Research Agents. These agents are pre-configured to adapt their probing techniques across specific domains, functioning as a dedicated UX Research Agent, Consumer Insights Agent, Shopper Insights Agent, or AI Creative Insights Agent. This specialization ensures that autonomous UX testing and consumer behavior studies are conducted with domain-appropriate rigor.
Global Reach: The platform operates as a unified environment by natively embedding external recruitment networks. Through direct global panel integration with industry leaders such as Cint and Dynata, enterprise teams gain immediate access to an audience of over 100 million respondents across 120 countries. This borderless infrastructure ensures that cross-cultural studies and niche demographic targeting can be executed on-demand.
Speed to Market: The convergence of specialized AI moderators and embedded panel access drastically reduces research timelines. Organizations have the operational capability to recruit participants, define parameters, and launch rigorous global studies in under two minutes. By stripping away administrative delays, teams can accelerate the delivery of automated qualitative insights and integrate real-time emotional feedback directly into agile development sprints.
NLP Capabilities for Multi-Market Research
Executing multilingual user research at an enterprise scale requires advanced Natural Language Processing (NLP) to bridge geographic and linguistic barriers. Entropik equips its AI Moderator with enterprise-grade NLP infrastructure, ensuring that unstructured qualitative data from global participants is instantly standardized, transcribed, and synthesized without manual intervention.
Native Language Transcription: To eliminate the delays associated with manual audio processing, the platform natively transcribes 58 distinct languages. This core capability operates with an AI interview transcription accuracy of over 95%, ensuring that complex phrasing, regional dialects, and industry-specific terminology are captured precisely during qualitative sessions.
Real-Time Linguistic Translation: Breaking down siloed global data, the platform executes AI moderator translation across 138 languages in real time. This immediate translation framework allows centralized insights teams to run localized research simultaneously across multiple continents, auto-generating structured summaries and delivering immediate cross-market synthesis without relying on third-party translation agencies.
Pre-Launch Creative & Media Testing with Neuro AI
Allocating significant media budgets to unverified creative assets introduces substantial financial risk. A failed campaign not only exhausts ad spend but also diminishes long-term brand equity and competitive positioning. To mitigate this operational vulnerability, enterprise marketing teams deploy Entropik as a definitive pre-launch insurance policy.
Through the application of AI Creative Insights, the platform enables organizations to execute rigorous Ad Creative Testing before committing to public deployment. Instead of relying on subjective internal feedback or delayed focus groups, the software utilizes Predictive Attention AI to generate instant, synthetic heatmaps and emotion simulations. This technology mathematically models human visual processing and cognitive responses, forecasting exactly where an audience will look and how they will feel upon exposure to a digital asset.
By precisely mapping the visual hierarchy of an advertisement, these predictive models allow teams to accurately forecast brand recall and message absorption. Marketing and design teams can isolate whether a logo, product feature, or call-to-action captures user focus within the crucial opening seconds of a video or static display. Consequently, this shifts Media and Ad Testing from a reactive post-mortem analysis to a proactive, risk-mitigated strategy, ensuring all creative assets are optimized for maximum cognitive impact before any media budgets go live.
Elevating UX Research & Testing at Scale
To accelerate digital product development, organizations require User Research frameworks that operate continuously across the entire software development lifecycle. Entropik structures its Usability Testing capabilities into a modular solution matrix, allowing enterprise product and design teams to capture behavioral data at any stage of deployment.
Prototype Testing: Validating digital architectures before committing to engineering resources is critical for operational cost reduction. By integrating directly with design environments such as Figma and Adobe XD, Entropik enables teams to execute rigorous pre-code validation. Through the automated generation of Attention Heatmaps, UX designers can precisely quantify which navigation elements draw initial user focus, allowing them to iteratively refine wireframes based on objective cognitive load data.
Unmoderated Testing: To scale asynchronous task completion globally, the platform automates participant workflows without requiring human oversight. By deploying Webcam-powered Eye Tracking and precise Eye Gaze Tracking, organizations can seamlessly capture objective visual paths and pinpoint moments of emotional friction as users navigate complex digital interfaces autonomously.
Live Intercepts & Moderated Testing: Capturing real-world friction requires analyzing users within their active, natural digital environments. The software facilitates live intercepts directly on production websites and applications. Furthermore, this intercepts capability complements traditional Moderated Testing by overlaying real-time Emotion AI onto live, guided interviews, ensuring that the subjective observations of a human researcher are continuously validated by objective biometric data.
The "Enterprise Scalability" Focus for the Insights Hub
As global organizations scale their research operations, maintaining data governance and knowledge continuity becomes a critical operational challenge. Siloed data frequently leads to decentralized insights and the costly duplication of research efforts across different departments or regional teams. To eliminate this enterprise bottleneck, Entropik structures its platform as a unified Insights Hub, centralizing all behavioral data, qualitative transcripts, and multimodal research into a single, accessible repository.
This centralized architecture ensures that historical data remains actionable long after a specific study concludes. To maximize the utility of this repository, the platform features a proprietary AI Research Copilot. This advanced search and synthesis engine allows product managers, marketers, and researchers to instantly query past studies using natural language. Instead of manually parsing through fragmented reports or commissioning redundant research, enterprise teams can utilize the copilot to extract aggregated themes, historical emotion metrics, and specific demographic insights on-demand, ensuring immediate knowledge continuity and operational efficiency across the organization.
Technical Ecosystem, Integrations and Compatibility
To ensure frictionless adoption within complex enterprise tech stacks, Entropik is engineered with a flexible, modular architecture. The platform operates both as a centralized SaaS environment and as a highly integrable infrastructure that connects directly to external design systems, global recruitment networks, and proprietary internal databases.
Native Integrations: To embed behavioral validation directly into the product development lifecycle, the software features native connectivity with industry-standard UI/UX prototyping environments, specifically Figma and Adobe XD. This allows design teams to execute pre-code attention testing without manually exporting wireframes. Additionally, the platform connects seamlessly to global panel providers—such as Cint and Dynata—enabling automated, borderless participant recruitment from within the primary software interface.
Headless Insights via API and SDK Integrations: For organizations requiring customized data pipelines, the platform provides advanced developer infrastructure. Through the Entropik API and the specialized Emotion AI SDK, enterprise engineering teams can access the core Emotion AI, Behavior AI, and Generative AI engines as standalone technological solutions. This flexibility allows organizations to build custom applications utilizing a headless user research architecture, bypassing the standard interface to pipe raw emotional and behavioral metrics directly into existing internal data warehouses for proprietary business intelligence modeling.
Deployment Options & Compatibility: Engineered for global scalability, the core platform is deployed as a secure SaaS/Cloud environment. To ensure comprehensive testing rigor across all digital touchpoints, the technology maintains full mobile compatibility. This infrastructure allows researchers to capture precise eye-tracking, screen interactions, and facial coding metrics natively across both iOS and Android operating systems during live application testing.
Enterprise Trust, Security, and Compliance Architecture
For global enterprises evaluating SaaS vendors, verifiable data security is a non-negotiable prerequisite, particularly when processing biometric and behavioral metrics. To satisfy stringent IT and procurement mandates, Entropik operates a highly secure infrastructure engineered to prioritize Emotion AI data privacy.
Global Compliance & Certifications: The organization executes strictly GDPR compliant user research and maintains full alignment with CPRA mandates. To validate its operational security posture, the software functions as an ISO 27001 research platform. Furthermore, strict Entropik SOC 2 compliance (specifically SOC 2 Type 2 certification) and routine VAPT (Vulnerability Assessment and Penetration Testing) protocols ensure that enterprise data is continuously fortified against external threats.
Future-Proofing AI Governance: In anticipation of evolving artificial intelligence regulations, the organization is actively future-proofing its corporate compliance frameworks. Entropik is currently in progress for ISO 42001 certification, demonstrating a preemptive commitment to standardized, ethical AI management systems.
Enterprise Access Control: Managing user permissions and mitigating internal vulnerabilities requires robust identity governance. The platform supports seamless Entropik SSO integration (Single Sign-On) alongside Social Sign-On capabilities, streamlining secure authentication across complex enterprise networks. Coupled with granular Role-Based Access Control (RBAC), IT administrators can precisely govern data visibility, project access, and administrative privileges across distributed global teams.
Entropik vs Competitors
To accurately assess the enterprise value of the platform, it is necessary to benchmark its capabilities against legacy research tools and niche biometric software. The following objective matrix evaluates Entropik against four primary competitors based on feature architecture, enterprise scale, and pricing transparency.
| Platform | Core Features & Methodology | Behavioral AI Capabilities | Enterprise Scale | Pricing Transparency |
| Entropik | Unified UX and creative testing suite. | Native facial, voice, and webcam gaze tracking. | Autonomous panel integration (100M+ global reach). | Modular SaaS tiers; transparent API/SDK enterprise pricing. |
| UserTesting | Traditional video-feedback model. | Lacks native biometrics; relies on spoken sentiment. | Manual qualitative panel recruitment. | Credit-based model; costs scale unpredictably with volume. |
| Qualtrics | Survey-heavy Experience Management. | Requires third-party integrations for facial/gaze data. | Massive quantitative survey deployment. | Complex, module-based enterprise subscription. |
| dscout | Mobile-first diary studies. | Relies on manual synthesis of video/text entries. | Niche, longitudinal human participant panels. | Custom, premium pricing per individual study. |
| Affectiva (Smart Eye) | Hardware-centric facial coding. | Advanced facial tracking for automotive and media. | Laboratory and specialized hardware deployment. | Highly customized, bespoke enterprise contracts. |
Entropik vs. UserTesting While UserTesting pioneered the unmoderated video-feedback category, it relies heavily on traditional, self-reported participant sentiment. Entropik replaces this subjective model with predictive Emotion AI. Rather than solely listening to what a user explicitly states during a recorded session, the Decode platform quantitatively measures how the user actually feels by tracking facial micro-expressions and gaze paths, identifying subconscious friction that traditional video feedback misses.
Entropik vs. Qualtrics Qualtrics operates as the foundational system of record for Experience Management, excelling in large-scale, survey-based quantitative data. However, it lacks native behavioral tracking capabilities out-of-the-box. Entropik serves as the qualitative and behavioral counterweight to this survey-heavy approach, generating real-time biometric data (such as webcam eye-tracking and voice tonality) to explain why users answered a survey in a specific manner, capturing the cognitive state behind the quantitative data point.
Entropik vs. dscout For in-context mobile research, dscout utilizes a diary-study methodology, requiring participants to manually record videos and text over days or weeks. This process is time-intensive and requires substantial manual synthesis. Conversely, Entropik utilizes autonomous AI Research Agents that execute unmoderated, conversational probing in real-time. This replaces the manual diary methodology with automated qualitative research workflows, delivering instantaneous thematic extraction without relying on delayed, asynchronous participant uploads.
Entropik vs. Affectiva (Smart Eye) Affectiva (now operating under Smart Eye) is a formidable entity in the facial coding space, but its operational focus is heavily skewed toward automotive driver monitoring and hyper-specific media lab testing. Entropik provides a unified suite built specifically for SaaS, Retail, and digital product teams. Instead of requiring complex hardware integrations, it democratizes Emotion AI by operating seamlessly through standard consumer webcams, allowing for rapid, decentralized global testing.
Entropik Notable Clients
To establish market authority, Entropik has successfully onboarded a diverse portfolio of Fortune 500 enterprises and global leaders across the financial, technology, and consumer goods sectors. This widespread enterprise adoption demonstrates the platform’s capacity to handle massive global data processing and strict regulatory compliance mandates.
JPMorgan: As a multinational financial services leader, the organization leverages advanced behavior-driven AI and digital experience optimization. By integrating platforms like Entropik, major financial institutions transition away from subjective feedback, relying instead on quantified, biometric data to understand exactly how users navigate complex digital banking infrastructures at scale.
Xiaomi: The global consumer electronics manufacturer utilizes the software to gauge consumer emotional responses and cognitive engagement. For hardware and software ecosystems, capturing unbiased user behavioral metrics empowers technology giants to precisely refine product designs, interfaces, and marketing assets prior to global deployment.
Global Fast-Food Brands: A leading multinational fast-food chain integrated the platform to completely overhaul its media and ad testing protocols. By deploying AI-powered advertising effectiveness tools, eye-tracking, and facial coding, the brand successfully reduced its media research timelines by 4X—condensing a conventional multi-week testing cycle down to just twelve days, effectively optimizing ad spend before campaigns go live.
UK-Based Financial Institutions: A prominent UK bank utilized the software to address customer drop-offs during the critical account creation phase. By applying live website testing and precise UX prototype analysis, the institution identified exact moments of cognitive friction, allowing them to optimize their digital onboarding experience, increase task completion rates, and maximize customer acquisition efficiency.
Frequently Asked Questions About Entropik
What is Entropik (entropik.io)? Entropik is an enterprise B2B SaaS company that develops Emotion AI and Behavior AI technology. Its core platform enables organizations to conduct market research, UX testing, and consumer insights studies by capturing objective biometric signals—such as facial expressions, eye movements, and vocal tonality—rather than relying solely on self-reported survey data.
What is the difference between Entropik and traditional user testing platforms? Traditional research platforms rely heavily on what users consciously report through surveys, diaries, or interview feedback, often creating a “say-do” gap. Entropik differentiates itself by applying biometric tracking to capture subconscious reactions in real-time, providing objective data on visual attention, cognitive load, and emotional friction that users may not articulate.
What is Decode by Entropik? Decode is Entropik’s Unified Human Insights Platform. It consolidates multiple fragmented research methodologies—such as quantitative surveys, qualitative interviews, usability testing, and media testing—into a single AI-powered environment, enriched with real-time behavioral data and generative AI research summaries.
Does Entropik require specialized hardware or laboratory setups? No. Entropik democratizes biometric research by operating entirely through standard consumer webcams and device microphones. Its predictive Attention AI, eye-gaze tracking, and facial coding algorithms do not require specialized VR headsets, eye-tracking glasses, or physical laboratory environments.
Is Entropik’s biometric data collection secure and compliant? Yes. Entropik operates under strict enterprise security mandates. The platform is GDPR and CPRA compliant, holds SOC 2 Type 2 and ISO 27001 certifications, and utilizes Role-Based Access Control (RBAC) to ensure that sensitive facial and behavioral data is securely processed and governed at the enterprise level.
Can Entropik integrate directly with UX design environments? Yes. Entropik features native integrations with industry-standard prototyping tools, specifically Figma and Adobe XD. This allows UX and product teams to run pre-code predictive attention heatmaps and live usability tests directly on wireframes before committing to engineering resources.
How does Entropik handle participant recruitment? The platform features an integrated global panel network. Researchers can automatically recruit participants for moderated or unmoderated studies from a pool of over 80 million respondents across more than 120 countries, allowing for rapid, borderless demographic targeting.
What industries primarily utilize Entropik’s platform? Entropik’s technology is heavily adopted by enterprise organizations in the CPG (Consumer Packaged Goods), Retail, E-commerce, Financial Services, Media, Telecom, and Technology sectors for product innovation, shopper insights, and digital experience optimization.
Does Entropik provide API and SDK access for enterprise developers? Yes. For organizations requiring customized data pipelines or headless user research architectures, Entropik offers access to its core Emotion AI and Behavior AI engines via proprietary APIs and SDKs. This allows engineering teams to pipe raw biometric data directly into internal data warehouses.
What is Entropik’s pricing structure? Entropik operates on a modular, custom SaaS pricing model rather than fixed public tiers. Pricing is generally based on an annual commitment tailored to the volume of research sessions, unmoderated blocks, or API/SDK usage required by the enterprise, with volume discounts available for scaled deployments.
Entropik Leadership Team:
Entropik Profile Structure:
Name: Entropik
Industry: Enterprise B2B SaaS, Emotion AI & Behavior AI, Market Research, and UX Testing
Founded: 2016
Founders: Ranjan Kumar, Lava Kumar, and Bharat Singh Shekhawat
CEO: Ranjan Kumar
Headquarters: Bengaluru, India (with US presence in Austin, TX)
Global Footprint: Integrated global panel network reaching respondents in over 120 countries, with active enterprise deployment across the US, Europe, Southeast Asia, Middle East, and India.
Ownership Structure: Privately Held (Venture-Backed)
Total Funding & Stage: Series B (Approximately $35.5 Million in total funding)
Annual Revenue: Estimated $5.9 Million USD (₹47.5 Cr)
Number of Employees: Approximately 50–80 employees
Target Audience: Enterprise product teams, UX researchers, marketing teams, and procurement decision-makers at Fortune 500 companies (specifically across CPG, Retail, Tech, and Financial Services).
Core Product Lines: Decode (Unified Human Insights Platform), AI Research Copilot, Predictive Attention AI, Webcam-powered Eye Tracking, and headless Emotion AI API/SDKs.
Key OEM Partnerships & Integrations: Native design integrations with Figma and Adobe XD; panel connectivity with Cint and Dynata.
Regulatory Clearances & Certifications: SOC 2 Type 2, ISO 27001, GDPR, CPRA, VAPT, and in-progress ISO 42001 certification.
NAICS and SIC Codes: NAICS 513210 (Software Publishers) and 541910 (Marketing Research); SIC 7372 (Prepackaged Software) and 8732 (Market Research).
Website: entropik.io