AI text analysis that holds up before ethics committees.
Citizen consultations with 50,000 free texts, longitudinal studies in 12 languages, consultations under time pressure – deepsight delivers the infrastructure social research needs: methodologically sound, reproducible, and GDPR-compliant.
Large corpora, strict methodology – and tight budgets.
Social research demands traceable results. At the same time, data volumes are growing – along with expectations for speed and transparency.
10,000+ free texts, too little capacity.
Citizen surveys and consultations generate text volumes that can no longer be handled manually. Research teams lose weeks – and the timeliness of their findings.
Reproducibility is demanded but rarely delivered.
Who coded what, when? Inter-rater reliability is standard methodology – but rarely documented systematically. Results stand on shaky foundations.
Multilingual data, one analysis.
Cross-border studies, EU consultations, multilingual panels. Separate pipelines per language increase effort and reduce comparability.
Features built for social research.
Not adapted, but designed – for qualitative content analysis, consultation processes, and academic studies.
Open & closed coding
Create your own code frames or let the AI discover topics. Both can be combined – everything versioned, everything traceable.
30+ languages, one code frame
Translate-then-analyze: All responses are translated and analyzed with one optimized model. Results comparable across language boundaries.
Automatic anonymization
PII detection and masking before analysis. k-anonymity for sensitive datasets – before any human sees the texts.
Reproducible & versioned
Code frames as versions. Re-runs deliver identical results. Inter-rater reliability (Cohen's Kappa) at the push of a button.
Multiple coders, one system
Roles, assignment, conflict resolution. Senior reviews, junior codes – all with audit trail in the same system.
Complete audit trail
Who marked what, when? Which model suggested it? Full trace per data point – for ethics committees and peer review.
Where deepsight is used in social research.
From municipal citizen participation to EU consultations to academic longitudinal studies.
Citizen participation & consultation
Neighborhood surveys, urban planning, dialogue processes. 10,000+ free-text inputs systematically coded and clustered – in days instead of months.
Academic studies
Qualitative content analysis following Mayring or Grounded Theory – supported by AI, documented through audit trail. For dissertations, funded projects, and third-party research.
Policy evaluation & monitoring
Evaluate measures, measure impact, create reports. Structured analysis of interviews, position papers, and consultation processes.
Multilingual panels & EU studies
12+ languages, one code frame, comparable results. For cross-country studies, Eurobarometer analyses, and international research consortia.
Three paths – depending on what you need.
Not every research project fits into a SaaS tool. That's why we offer three entry points – from self-service to your own infrastructure.
Scientific standards, technically implemented.
GDPR & ethics
Frankfurt hosting, DPA, no third-country transfers. Compatible with ethics committee and data protection officer requirements.
Anonymization
Automatic PII detection and masking – before analysis starts. k-anonymity for particularly sensitive datasets.
Audit trail
Every coding, every review, every model decision is traceable and exportable. For method sections and peer review.
Inter-rater reliability
Cohen's Kappa calculated automatically. IRR reports at the push of a button – standard in research, standard at deepsight.
Ready for methodologically sound text analysis?
Discuss your use case directly with our research team – whether cloud, on-prem, or hybrid.