How a global research agency saved $100K+ building a white-label qualitative research platform
A global research agency used Speak AI to power a white-label video and audio insights platform for rapid product and packaging feedback. The team captures video reviews and in-depth interviews, structures responses automatically, and shares client-ready findings in a branded portal with AI chat, filters, and visualizations.
The challenge
Launching a modern video and audio research product required three difficult ingredients at once. The agency needed reliable capture at scale across geographies and languages, accurate transcription and analysis with consistent coding, and a secure white-labeled delivery experience that clients could explore without training.
- Reliable multi-language capture: Video reviews and in-depth interviews spanned English, French, Dutch, Swedish, and more. Managing multi-language feedback, permissions, and exports added risk to timelines.
- Accurate thematic coding: Sensory attributes like taste, texture, smell, aftertaste, and on-pack claims required consistent, structured analysis across hundreds of responses.
- White-label delivery: Clients needed a branded portal they could explore independently, with AI chat, filters, and visualizations — not raw data dumps.
- Build vs. buy pressure: Building capture, analysis, translation, exports, and client-facing libraries from scratch would be slow and expensive.
The solution
Speak AI provided the capture-to-insights backbone while letting the agency control brand, UX, and client experience across every touchpoint.
Embeddable recorder and surveys
Structured audio and video responses captured directly inside the agency's platform. Custom fields for sensory attributes, packaging themes, and demographic data collected alongside every recording.
Automatic transcription and multilingual analysis
Automatic transcription and analysis across English, French, Dutch, Swedish, and more. Translation and unified reporting in one place, with custom fields for consistent thematic coding.
AI chat and folder-level synthesis
Folder and account-level AI chat synthesizes hundreds of video and audio files at once, citing source segments. Analysts can ask questions across entire studies and get grounded answers instantly.
White-labeled client libraries
Fully branded players, keyword and sentiment views, and controlled access. Each client organized by folder with curated libraries that update in real time as new media arrives.
See how Speak AI can work for your team
Whether you need a white-label video insights platform, multilingual analysis, or embeddable recorders for structured feedback collection, our team can help you design a solution that fits.
Results: before and after Speak AI
The agency replaced manual, multi-tool workflows with an integrated capture-to-insights pipeline. Here is what changed.
| Workflow area | Before | After | Impact |
|---|---|---|---|
| Recorded hours processed | Manual capture and analysis across tools | 127.7 recorded hours analyzed to date | Standardized pipeline from upload to insights |
| Analyst time per recorded hour | About 8.0 hours for transcription and thematic coding | About 0.3 hours for oversight and edits | About 96% faster analysis |
| Total time saved | Backlog and context switching across tools | About 983 hours saved to date | Analysts focus on interpretation |
| Estimated labour savings | Research-heavy manual workflow | About $17.5K saved on analysis labour | Compounds as more recordings are added |
| Estimated development savings | Building capture, analysis, exports, and libraries in-house | $100K+ engineering time avoided | Faster go-to-market with lower platform risk |
Time and cost savings
Combined analysis labour and development avoidance savings based on 127.7 recorded hours and equivalent platform build estimates.
| Category | Hours saved | Estimated savings |
|---|---|---|
| Analysis labour (transcription, thematic coding, oversight) | ~983 hours | ~$17.5K |
| Development avoidance (capture, analysis, translation, exports, libraries) | — | $100K+ |
| Total estimated savings | ~983 hours | ~$115K+ |
Key takeaways
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96% faster analysis: What previously took 8 hours per recorded hour for transcription and thematic coding now takes about 0.3 hours of AI-assisted oversight. Analysts focus on interpretation and recommendations.
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Multilingual at scale: English, French, Dutch, Swedish, and more handled natively. Translation and unified reporting in one place eliminated fragmented tool chains.
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White-label client delivery: Fully branded portals with AI chat, sentiment views, and keyword visualizations. Clients explore findings independently without training.
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$100K+ in development costs avoided: Instead of building capture, analysis, translation, export, and library features from scratch, the agency launched on Speak AI's infrastructure and focused on client experience.
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Scalable research pipeline: Each client organized by folder with saved prompts, custom fields, and advanced filters. The pipeline compounds in value as more studies and recordings are added.
Ready to launch a white-label video insights platform?
Whether you need embeddable recorders for structured feedback, multilingual analysis, or a branded client portal with AI chat and visualizations, Speak AI can help you get there. Book a demo or start exploring the platform today.
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Create a free account and start a 7-day trial. Test embeddable recorders, automated transcription, AI chat, and see how Speak AI fits your research workflow before committing.
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Talk to our team about your use case. We will walk through how white-label portals, multilingual analysis, and embeddable recorders can work for your specific research workflow. No generic pitch.
This case study is anonymized and based on usage metadata, configuration notes, and developer integration work. No transcripts, file names, or sensitive client details were accessed. ROI figures follow standardized modeling and may vary by project and team rates. Development savings reflect internal estimates for equivalent platform features.