The AI-enabled customer experience platform built so feedback drives action - not another dashboard nobody opens.
SurveySensum sells a simple promise to companies drowning in customer opinions: collect feedback wherever it lives, read it in real time, and do something about it before the customer walks. It is an AI-enabled customer experience platform where teams build and distribute NPS, CSAT, and CES surveys, then let machine learning sift the open-ended answers for themes and sentiment. The pitch is not novelty. It is access - enterprise capability at a price a mid-sized business can defend.
The company launched in 2019 as a product of NeuroSensum, a market-research firm founded by Rajiv Lamba a year earlier. NeuroSensum had started at the exotic end of research - EEG brainwave mapping, eye-tracking, facial coding, virtual-reality store simulations. SurveySensum went the other direction: plain online surveys, sent by email, SMS, WhatsApp, in-app widgets, QR codes and website intercepts, tabulated the moment they land.
That contrast is the whole idea. The fanciest measurement method rarely wins in the market; the usable one does. SurveySensum bet that most enterprises did not need a neuroscience lab - they needed to know why last month's detractors were unhappy, in language a product manager could act on, this week rather than next quarter.
Today the platform reports more than eight million surveys run across forty-plus countries and a hundred-plus languages, serving over five hundred companies. The customer list skews to industries where a single unhappy buyer is expensive: automotive, banking, insurance, fintech and telecom.
Most feedback tools are good at collection and charts, and bad at what happens next. A score moves two points; nobody knows who to call. SurveySensum's answer is closed-loop action management: when a customer leaves a low rating, the platform routes an alert to the right person and tracks whether anyone actually followed up.
The second problem is volume. Open-ended answers are the richest feedback and the least read, because reading ten thousand of them by hand is impossible. The platform's AI text and sentiment analytics summarize them across a hundred-plus languages, so a team gets the pattern without the marathon.
SurveySensum's customers cluster in sectors with high-value, repeat relationships. Named users span automotive (Nissan via Indomobil, Mercedes/Daimler, Astra Honda Motor), insurance and fintech (Allianz, Pine Labs, PayU), and telecom (Indosat, Link Net), alongside healthcare and software names like Apria Healthcare and Bizagi.
SurveySensum is built for execution and closing the loop - so insights don't sit in dashboards but drive action across teams.
- SurveySensum, on its positioning against enterprise XM suitesBuild, distribute, and benchmark the three core loyalty and satisfaction metrics with driver analysis and follow-up.
Summarizes open-ended responses and unstructured feedback across 100+ languages, surfacing themes in real time.
Email, SMS, WhatsApp, social, website, in-app, on-site tablets, QR codes and CRM integrations.
An AI insights layer that summarizes feedback and recommends the next action, not just the chart.
AI-powered online research at roughly one-tenth the cost of a traditional agency engagement.
Employee feedback and engagement surveys with role-based dashboards for managers.
In head-to-head reviews, buyers say the deciding factor beyond price is the support: consultants willing to handhold through setup, which lighter tools skip and enterprise suites charge dearly for. SurveySensum positions between the two - more capable than a basic form builder, easier to operationalize than a full XM stack.
Reviewers on G2 single out the AI text analytics for spotting patterns in open answers, and the closed-loop workflow for turning that into action. Annual pricing reportedly starts near $3,600 - a fraction of incumbent enterprise deals.
Chart below is illustrative positioning, not audited benchmarks.
SurveySensum runs on annual B2B SaaS subscriptions bundling NPS, CSAT and CES, AI text analytics, omnichannel distribution, role-based dashboards and closed-loop action management. The model leans on a claim it has repeated since launch: enterprise research at roughly a tenth of conventional agency rates, with consulting-style onboarding as the differentiator that keeps churn down.
Reported figures put annual revenue around $3.7M on a team of roughly 44 - a lean operation for the enterprise logos it serves.
The experience-management market runs from heavyweight suites (Qualtrics, Medallia) to lightweight form builders (SurveyMonkey and peers). SurveySensum plays the middle: enough depth for enterprise use cases, priced and supported for teams that would never sign a six-figure XM contract.
Measure and act on NPS, CSAT, Employee Experience, and Market Research from one unified AI platform.
- The SurveySensum thesis, distilledRajiv Lamba blends conventional market research with neuroscience - EEG, eye-tracking, facial coding, VR.
NeuroSensum raises Series A led by SIG Asia and ships SurveySensum as its experience-management software.
Employee feedback and engagement surveys arrive with role-based dashboards.
Expands conversational analytics and WhatsApp-based feedback collection.
An AI layer that summarizes feedback and recommends actions across teams.
It is an AI-enabled customer experience platform for building, distributing and analyzing NPS, CSAT, CES, employee and market-research surveys, with real-time text and sentiment analytics and closed-loop action management.
Rajiv Lamba founded it in 2019 as a product of NeuroSensum, the market-research firm he had started in 2018.
It targets mid-to-large enterprises with a much lower price point, hands-on consulting support, and a focus on execution and closing the loop rather than dashboards alone.
Over 500 companies across automotive, banking, insurance, fintech, telecom and retail, including Nissan, Mercedes, Allianz, Pine Labs and Indosat.
It uses annual B2B SaaS subscriptions reportedly starting around $3,600/year - positioned at roughly one-tenth the cost of traditional research agencies.
Profile compiled from public sources including the company website, LinkedIn, Crunchbase, G2, and press coverage. Figures are approximate where noted.