Conveo is a Belgian YC-backed AI video interview platform that has built a credible position in the multimodal video research category. The company recently raised $5.3M to extend the multimodal signal extraction approach: async AI-moderated video interviews paired with an analysis layer that processes multimodal video signals (voice + video + tone + facial) as signal sources for theme synthesis. Eight integrated panel partners (Respondent, User Interviews, Norstat, Bilendi, Sago, Rakuten, Forsta, Rally) plus BYOC recruitment provide reach across geographies, with 10-1,000+ participants typically recruitable in under two weeks. Pricing per buyer-reported references is dual-tier: pay-as-you-go for agencies and project-based work, plus an Enterprise plan from approximately $45,000/year on a credit-based model. This review is a neutral due-diligence scorecard for buyers in active Conveo evaluation, not a competitive pitch.
Conveo Pricing at a Glance
Conveo does not publish self-serve pricing on its website. Per buyer-reported references — G2 reviews, Capterra, GetApp, TrustRadius, Software Advice, public RFP analyses, and 2025-2026 industry coverage — pricing is dual-tier: pay-as-you-go for agencies and project-based work (sales-led, project rates vary by scope), plus an Enterprise plan from approximately $45,000/year structured around prepaid credits priced by total interview minutes. Both tiers go through a sales conversation; there is no published self-serve signup or free trial. For the full cost-by-frequency math at 1, 5, 10, 20, and 50 studies per year, see the Conveo pricing reference guide.
What Is Conveo Built For?
The cleanest way to read Conveo is to ask: what was the platform originally built to make easy? Conveo was built around multimodal video signal extraction. The center of gravity is async AI-moderated video interviews where the multimodal analysis engine extracts signal across multimodal video signals (voice + video + tone + facial), and contextual objects, then synthesizes themes from that wider signal surface. Eight integrated panel partners give recruitment reach across global geographies; ESOMAR-informed methodology adds cross-participant comparability for industry-research workflows. The strength is signal breadth — a facial reaction, a tonal shift, or an emotional micro-expression can reveal what verbal response hides, especially for concept testing and creative validation where stated preference and revealed reaction diverge. The trade-off versus adaptive laddering depth: multimodal extraction processes more signal types per interview, while native-AI peers built around systematic 5-7 level laddering go deeper into one signal type (audio conversation) via methodology embedded in the AI moderator’s conversation structure.
Conveo Scorecard
| Evaluation criterion | Conveo state in May 2026 |
|---|---|
| Founded / based | Belgium, Y Combinator-backed |
| Recent funding | $5.3M Series A (recently announced) |
| Primary research instrument | Async AI-moderated video interviews + multimodal analysis layer |
| Multimodal signal extraction | Voice + video + tone + facial expressions + emotional nuance + objects on camera |
| Languages | 50+ |
| Panel | Eight integrated partners (Respondent, User Interviews, Norstat, Bilendi, Sago, Rakuten, Forsta, Rally) + BYOC |
| Recruitment speed | 10-1,000+ participants in under 2 weeks |
| Methodology framing | ESOMAR-informed structured methodology |
| Plan tiers | Pay-as-you-go (project-based, sales-led) + Enterprise (annual contract) |
| Annual contract range (per buyer-reported references) | Enterprise from ~$45,000/year, credit-based by interview minutes |
| Free trial | None published; both tiers are sales-led |
| Strongest fit | Concept testing, creative validation, global benchmarking, ESOMAR-aligned market research |
| Key unknowns to verify in pilot | Specific credit consumption rates, panel-partner bundling vs add-on pricing, motivational depth versus adaptive-laddering peers, procurement runway from contract to first study |
Where Does Conveo Shine?
Conveo fits structurally well in four buyer profiles. Concept testing and creative validation where multimodal signal extraction reveals what verbal response hides — facial reactions to a creative asset, tonal shifts when buyers describe pricing, emotional micro-expressions during product walkthroughs. Global benchmarking and multi-market trend research where the eight integrated panel partners extend recruitment reach across geographies that single-platform panels do not cover well. ESOMAR-informed market research workflows where structured cross-participant comparability and academic rigor are required gates for procurement, particularly for traditional market research agencies and industry-research-led organizations. Enterprise teams with established research budgets for $45K+/yr platform commitments running continuous high-cadence multimodal research that amortizes the credit pool effectively.
Where Does Conveo Fit Less Well?
The architecture is built around multimodal signal extraction, which means it fits less well when the research deliverable shifts. Three patterns emerge in buyer-reported references. Motivational depth as the primary research bottleneck. When the question is why customers churn, why positioning fails, what brand identity drivers exist — not what facial reactions reveal during a concept test — native-AI peers built around adaptive 5-7 level laddering as the primary research instrument typically reach motivational depth more reliably than multimodal extraction alone. The systematic conversation methodology embedded in adaptive laddering is structurally different from multimodal signal processing applied after the fact. Self-serve evaluation without procurement. Conveo is sales-led at both PAYG and Enterprise tiers; there is no published free trial or self-serve signup. Teams that want to validate the platform inside a quarter without scoping conversations typically find the procurement runway too long. Variable cadence at low volume. Teams running 1-3 studies a year against a $45K Enterprise floor pay heavily on a per-study basis; the Enterprise model rewards continuous high cadence.
Evaluation Questions for Your Conveo Demo
Five questions buyers in active Conveo evaluation should bring to the demo:
- Multimodal analysis output specificity. For my research workflow (concept testing, motivational research, brand strategy, global benchmarking), what does the multimodal analysis layer surface that audio-first adaptive laddering would miss? Can you show three example insights from prior studies where multimodal signal extraction was the difference?
- Panel access bundling. Is the panel access bundled into my plan, or priced as add-ons by partner (Respondent, User Interviews, Norstat, Bilendi, Sago, Rakuten, Forsta, Rally)? What is the per-participant cost structure across partners, and how does it vary by audience type?
- Credit pool mechanics. How does the Enterprise credit pool work — what counts against minutes (just interview duration, or includes processing/analysis), what happens to unused credits at year-end, and how is overage priced relative to contract per-minute rates?
- Procurement runway. What is the typical procurement cycle from first sales call to first production study running, for both PAYG and Enterprise paths? Is there an accelerated track for teams that want to be in field within 2-3 weeks?
- Adaptive laddering peer comparison. For research where the deliverable is motivational themes rather than multimodal video clips, how does Conveo’s analysis layer compare to native-AI peers (User Intuition, Listen Labs, Strella) built around systematic adaptive laddering on every conversation? What workflows does Conveo do better, and where do those peers reach motivational depth more reliably?
How Does Conveo Compare to Alternatives?
Conveo sits inside the broader 2026 AI-led research landscape that splits along multiple architecture axes. Multimodal video signal extraction: Conveo (the canonical example, with eight integrated panel partners). Native-AI adaptive laddering depth: User Intuition (5-7 level laddering on every audio interview, $200/study, Customer Intelligence Hub for cross-study compounding, 5/5 on G2 and Capterra). Other AI-native peers: Listen Labs (managed-engagement model), Outset (async video-prompt automation), Strella (chat-first AI synthesis speed). Adjacent categories: Discuss.io (live human-moderated video), Maze (unmoderated usability + AI), dscout (in-context mobile diary), Wynter (B2B message testing), Respondent.io (B2B participant recruitment marketplace, also a Conveo panel partner). For the full market map, see 7 Conveo alternatives compared. For the head-to-head architecture decision, see Conveo vs User Intuition.
Due-Diligence Summary
This review’s job is to surface the criteria that matter for a Conveo evaluation, not to make the platform decision. The platform decision belongs on the Conveo vs User Intuition compare page, where the head-to-head architectural fit is mapped to specific research deliverables. The neutral due-diligence frame for this scorecard: Conveo’s distinctive value sits in multimodal video signal extraction across an integrated eight-panel-partner network with ESOMAR-informed methodology and a recently strengthened balance sheet ($5.3M raise). Whether that fits your research operating model depends on the research deliverable mapping in the compare page and the cost-by-frequency math in the pricing reference guide.