Discuss.io
Discuss.io is a smart video platform that helps global brands and agencies plan, execute and share qualitative research conversations at scale. We help enterprise market researchers, UX researchers, product managers, sales professionals, brand managers and CX departments ramp consumer conversations and streamline the workflow. Built by market researchers, key features include live video interviews, mobile screen share, interactive whiteboards, built-in auto translation (100+ languages), powerful tagging and the Respondent Management Hub. Easily create clips of important moments and build a highlight reel that tells a story, without pouring through hours of video. In addition to a world-class technology platform, we can provide a range of market research services such as moderation, human translation, recruiting and program management through our marketplace.
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MM Studio
ReliCheck MM Studio is a native Mac application for mixed methods research, built for studies that combine quantitative and qualitative data in one analysis. It walks you through a convergent design, from raw data to a report you can defend.
Bring survey numbers and open-ended responses into one project. Run descriptive and inferential statistics on one strand, code text into themes on the other, then merge them in a joint display to see where the evidence converges and where it pulls apart. MM Studio tracks trustworthiness and rigor as you go and assembles your findings into a finished report.
Every step, from the data map through the joint display, stays documented, so your integration decisions stay transparent to a reviewer.
ReliCheck Intelligence assists with coding and interpretation on device, so transcripts and participant text stay on your Mac.
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Skimle
Skimle transforms unstructured qualitative data into structured, analyzable datasets using AI. Unlike RAG chatbots that retrieve random passages, Skimle systematically processes entire document sets upfront—analyzing each section, extracting insights, and organizing them into hierarchical theme taxonomies.
Upload interview transcripts, PDFs, audio/video, reports, or any qualitative data. Skimle's worklow (inspired by academic thematic analysis) codes every passage, identifies patterns, and creates a "spreadsheet" where documents are rows and themes are columns. Every insight links to verified quotes - no hallucinations.
100+ languages, 1,000+ docs/project, GDPR-compliant EU storage, full traceability (themes↔quotes), editable categories, AI reasoning chat, export to Word/Excel/PowerPoint reports etc.
Why different: Combines academic-grade rigor with AI speed. What takes weeks in NVivo or other legacy tools takes hours in Skimle, with full audit trails for peer review.
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Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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