Interview coding & theme extraction
Codes transcripts against the researcher's own framework. Theme extraction consistent across cycles.
● Humanis — INTERNAL — In Operation · External onboarding in preparation
HUMANITIES & SOCIAL SCIENCES
Humanis
Research AI for humanities and social sciences — from interview coding to SSCI manuscripts
- Status
- INTERNAL — In Operation
- Built for
- Researchers in humanities, social sciences, and interdisciplinary fields
- Engagement
- Typical 6–10 weeks
02 — Fit
Who it's for
- Qualitative researchers working with interview data and evaluation cycles
- Researchers in social sciences, law studies, and interdisciplinary fields
- Academics managing commission reports, policy evaluations, and administrative documentation
- Researchers writing SSCI-target manuscripts
03 — Capabilities
What it automates
04 — Comparison
What makes it different
| Dimension | General AI | Humanis |
|---|---|---|
| Interview coding | Manual, inconsistent across cycles | Framework-based coding, consistent across all cycles |
| Literature review | Unstructured synthesis | Structured synthesis matrices aligned to field conventions |
| Manuscript drafting | Blank-page writing | Section-level SSCI-aligned scaffolds ready for critical revision |
05 — In operation
Humanities Researchers A & B
Sociology (qualitative methods) · International law (policy & treaty research)
Before deployment. Evaluation report drafting, interview coding, and routine administrative tasks each consumed extended blocks — leaving little bandwidth for the research itself.
What changed. Humanis codes interview transcripts, scaffolds evaluation and commission reports, and systematises recurring research-support documentation. Both researchers retain full analytical control; the system carries the construction work.
06 — Engagement
Five stages, from working session to system that compounds
Stages 01–04 take 6–10 weeks. Stage 05 is the ongoing relationship.
01 / DIAGNOSE
Diagnose
30-minute working session. We map your research workflows and bottlenecks together.
02 / DESIGN
Design
Domain axioms documented. The core reasoning structure of your research practice, written down.
03 / BUILD
Build
Knowledge base, RAG pipeline, and agents — built with you, grounded in your research axioms.
04 / DEPLOY
Deploy
Until it's in your hands. And after.
05 / COMPOUND
Compound
Every cycle adds to your knowledge base. The asset grows with use.