Quick Verdict
ListenLabs is fast with a large panel (30M+). Decode matches on scale and beats on depth — adding Emotion AI (facial coding, eye tracking, voice analysis) that ListenLabs doesn't offer. For enterprise CPG teams that need actionable behavioural insight, not just fast transcripts, Decode is the stronger choice.
Introduction
ListenLabs raised $100M from Sequoia in 2024 and built a strong brand around speed: 30M+ participant panel, 24-hour turnaround, 100+ languages. For teams whose primary bottleneck is time-to-insight, ListenLabs is a compelling pitch.
But speed solves one problem. The deeper challenge in consumer research is insight quality — understanding not just what participants say, but why they say it and how they actually feel. This is where Decode by Entropik's Emotion AI creates a gap that ListenLabs, being a purely text-based AI platform, cannot close.
Feature Comparison: Decode vs ListenLabs
Feature | Decode (Entropik) | ListenLabs |
|---|---|---|
Emotion AI (facial + voice + eye) | Yes — core technology | No — text analysis only |
AI interview moderation | Yes | Yes |
Participant panel | Yes | 30M+ panel |
Language support | 70+ languages | 100+ languages |
Founded / Market maturity | 2019 — 7 years proven | 2023 — 3 years, still maturing |
Enterprise G2 reviews | Growing | 0 verified reviews |
Funding | $25M Series B (Bessemer + SIG) | $100M Series B (Sequoia) |
Unified research platform | Yes — 5 products | AI Mod only |
CPG enterprise deployments | Unilever, Nestlé, PepsiCo (documented) | Nestlé, P&G (limited documentation) |
The Problem With Text-Only AI Interviews
ListenLabs' AI analyses conversations linguistically — identifying themes, sentiments, and patterns from what participants say. This is genuinely useful. But consumer behaviour research has long known that what people say and what they actually feel are often different things. This gap — sometimes called the "say-do gap" — is the central challenge of qualitative research.
Decode's Emotion AI was built specifically to close this gap. While the AI moderator conducts the interview and captures the transcript, Decode's behavioural layer is simultaneously tracking: which moments generated visible emotional reactions (facial coding), what stimuli participants paid attention to (eye tracking), and how the participant's voice changed across the conversation (voice sentiment analysis). The result is a multi-layered insight report that goes far beyond what any text-based AI platform can produce.
Platform Maturity and Enterprise Trust
ListenLabs was founded in 2023. Despite impressive funding and brand logos, the platform is still maturing — enterprise procurement teams evaluating AI research vendors should examine security certifications, compliance documentation, support SLAs, and reference clients available for calls. Entropik's Decode has operated at enterprise scale since 2019, with documented deployments at major global CPG companies and a compliance infrastructure built for enterprise research budgets.
Get more from every interview with Emotion AI
See how Decode captures what participants feel — not just what they say.
FAQ
Is ListenLabs better than Decode for large-scale studies?
ListenLabs' 30M+ participant panel gives strong recruitment reach. Decode offers comparable panel access and adds Emotion AI to every interview — so while recruitment scale is similar, the insight depth per interview is significantly higher on Decode. For studies where you need to understand emotional drivers, not just verbal themes, Decode produces richer outputs from the same number of interviews.
Does ListenLabs have facial coding or eye tracking?
No. ListenLabs is a text-based AI interview platform. It analyses what participants say but does not capture facial expressions, eye tracking, or vocal tone. These Emotion AI features are exclusive to Decode by Entropik within the AI moderated interviews category.
What is ListenLabs' pricing?
ListenLabs does not publish pricing publicly. Access requires a demo booking. Decode similarly offers custom enterprise pricing — book a free demo to understand options for your team size and research volume.
