# Quallie.Ai **Quallie.Ai is an AI analysis platform for qualitative research.** It helps researchers turn interview recordings and focus groups into thematic insights and shareable video clips, in one workspace. ## What it does - **Transcription** in 40+ languages with speaker diarization. - **Thematic analysis** powered by LLMs — find patterns across interviews, not just inside one. - **AI-generated video clips** from transcripts, ready to share with stakeholders. - **Project workspaces** that organize research by customer, study, and participant. ## Who it's for UX researchers, market researchers, customer-insight teams, strategy consultancies, and academic researchers running qualitative studies at scale. Replaces a fragmented stack of transcription + coding + clipping tools. ## Differentiation - **Built by qualitative researchers**, not a generic AI wrapper — the workflow mirrors how research teams actually work. - **EU data residency** — GDPR by default, not as an enterprise add-on. - **End-to-end pipeline**: upload → transcribe → analyze → clip → share. No manual handoffs between tools. - **Multi-speaker diarization that survives translation** — supports research conducted in any of 40+ languages with native-language analysis. - **Security by design** — AES-256 encryption at rest, HTTPS in transit, and two-factor authentication. Full security policy and GDPR-compliant privacy policy published in the resource centre. - **Committed to "good work"** — Quallie.Ai's published research (the *Good Work Matters* report, interviewing leading qualitative practitioners) argues AI should empower researchers, not replace them, preserving the depth, rigour, and empathy qualitative work demands. The product is built to that principle: AI handles the time-consuming mechanical work, researchers keep the interpretive judgment. ## Company Quallie.Ai Ltd — founded by researchers and engineers, team in London with a satellite in Ericeira, Portugal. Web app at https://quallie.ai. ## Pages - [Homepage](https://quallie.ai/) — product overview, features, FAQ. - [About](https://quallie.ai/about) — team, mission, founder story. - [Resource centre](https://quallie.ai/resource-centre) — tutorials, security, privacy. - [Blog](https://quallie.ai/blog) — essays and interviews on qualitative research in the AI era. - [Good Work Matters report](https://quallie.ai/blog/good-work-matters) — research on what makes qualitative work meaningful, with interviews from leading practitioners. - [Terms of service](https://quallie.ai/terms) — the agreement governing use of the Quallie.Ai platform. ### Blog articles - [What does ‘Good Work’ look like, in the AI era?](https://quallie.ai/blog/what-does-good-work-look-like-in-the-ai-era) — The origin essay behind the report, on craft, ‘disembodiment’, and deliberately sharing the act of thinking between people and machines. (Marco Rovagnati, June 2026) - [Did you use AI for any of this?](https://quallie.ai/blog/did-you-use-ai-for-any-of-this) — On productivity guilt, the time-and-materials trap, and what it takes to feel proud of the AI we’re already using. (Ed Mehmed, September 2025) - [Strategy consulting in an era of AI](https://quallie.ai/blog/strategy-consulting-in-an-era-of-ai) — What to hold on to, what to let go of, and what to build, when AI comes for the head work but struggles with the human alignment. (Ed Mehmed, May 2025) - [Tash Walker: imagination over efficiency](https://quallie.ai/blog/tash-walker-the-mix) — The Mix on deep ethnography for Nike, the CFO test, and why the winners in the AI era will be the most imaginative, not the most efficient. (Marco Rovagnati, June 2026) - [Lauren McCluskey: good vs good enough](https://quallie.ai/blog/lauren-mccluskey-good-vs-good-enough) — A self-funded study on AI moderation, the 30% that cheaper panels miss, and why the researcher has to be the guardian of meaning. (Marco Rovagnati, May 2026) - [Daniel Berkel: good work doesn’t change](https://quallie.ai/blog/daniel-berkel-good-work-doesnt-change) — The Palmerston Group on making people feel something, turning a focus group into a game show, and keeping AI ‘in brackets.’ (Marco Rovagnati, April 2026) - [Inside Good Work Matters: why we made a report about people, not tools](https://quallie.ai/blog/inside-good-work-matters) — The story behind the interviews, and the recurring themes of curiosity, taste and critical thinking. (Quallie.Ai team, March 2026) ### Resource centre articles - [Quick start](https://quallie.ai/resource-centre/quick-start-demo) — The whole Quallie.Ai journey in one place: upload your interviews, ask your research questions, clip the moments that matter, and share them in a report. - [Upload and transcribe in any language](https://quallie.ai/resource-centre/upload-interviews) — Upload interviews and focus groups in more than 50 languages, get speaker-labelled transcripts, translate them for colleagues in other markets, and keep every participant's material in one place. - [Get answers linked to the evidence](https://quallie.ai/resource-centre/ask-questions) — Ask your interviews anything and get answers that link back to the exact quote and transcript, then compare participants, find who said what and catch up with summaries. - [Build a codebook](https://quallie.ai/resource-centre/codebook) — Code your interviews in a tree of themes and codes, let AI draft a first codebook, and export it to Excel, Word, NVivo, MAXQDA or ATLAS.ti. - [Clips and reels](https://quallie.ai/resource-centre/create-clips) — Share the moment a participant says it: cut clips from transcript text, subtitle and anonymise them, and join them into reels to download or share. - [Create and share reports](https://quallie.ai/resource-centre/reports) — Build a report from your project's clips, quotes and findings, style it, and share it with your client by invitation or password. - [Community research](https://quallie.ai/resource-centre/community-data) — Bring community research into Quallie.Ai by entering it manually, from the Excel template, or from Field Notes, Recollective or Sicché exports, and label entries with activities. - [Security](https://quallie.ai/resource-centre/security) — Encryption, access control, network and application security, and incident response at Quallie.Ai. - [Data privacy](https://quallie.ai/resource-centre/data-privacy) — How Quallie.Ai collects, uses, stores, and shares personal data under GDPR.