From raw transcripts to defensible themes — in minutes, not weeks.
Themera uses AI to code your interviews and open-ended responses into themes with verbatim evidence — then shows you exactly what it couldn't place, so nothing gets lost and you keep the final say.
The Problem
Coding qualitative data by hand is exhausting. A 500-person survey with three open questions is 1,500 responses — 200–300 hours of reading and tagging. Established QDA packages cost €300–1,200 a year with a learning curve to match, which is hard to justify for a single project. And pasting sensitive interview data into ChatGPT is a GDPR problem with no audit trail and no structure.
How it works
Why Themera?
From audio to report
EU transcription built in (German & English).
Nothing gets buried.
A coverage indicator shows how many responses were coded — and surfaces the ones that weren't, so you place them yourself. No silent gaps.
You stay in control.
Rename, merge, split and reassign codes. The AI drafts; you decide.
Built for English and German research.
Analyze and report in either language.
Private by design.
Your data never leaves the EU: storage and AI processing run on European infrastructure (Mistral AI, Paris). Never used to train models — a DPA is available.
Hand-off ready.
Export a publication- or stakeholder-ready report in one click.
Comparison
| Themera | Established QDA packages | |
|---|---|---|
| Price | €69 once, or from €39/mo | €300–1,200 / year |
| AI coding | Built in | Limited / add-on |
| Learning curve | Minutes | Steep |
| GDPR / EU-hosted | Yes | Varies |
| English + German | Yes | Partial |