Qualigrafo is an advanced research platform that integrates artificial intelligence and expert supervision into a single analysis environment. Designed for complex social research, communication, and innovation projects, it allows the combination of qualitative and quantitative methodologies across multiple types of data: texts, images, networks, media, social networks, interviews, documents, and structured data.
The platform connects collection, analysis, validation, and interpretation processes to transform large volumes of information into actionable knowledge. Its approach combines automation, methodological traceability, and human review, ensuring analytical rigor, transparency, and interpretive control across all phases of the research.
Integrated analysis
Qualigrafo brings together in a single working environment qualitative and quantitative methodologies that are usually scattered across different tools. The platform makes it possible to combine discourse analysis, conversational analysis, statistical analysis, network analysis, and visual analysis to obtain a more complete understanding of social, communicative, and organizational phenomena.
Supervised artificial intelligence
The platform incorporates artificial intelligence to accelerate the processes of classification, coding, exploration, and analysis of large volumes of information. Each result can be reviewed, corrected, and validated by researchers and expert teams, guaranteeing methodological traceability, analytical transparency, and interpretative control throughout the entire process.
Multiple sources of information
Qualigrafo works with interviews, focus groups, documents, reports, media, social networks, surveys, images, and organizational data. It also incorporates assisted automatic transcription systems to facilitate the analysis of audiovisual materials, always maintaining the possibility of human review and annotation.
Networks, narratives and actionable knowledge
The platform allows for analyzing speeches, identifying narrative patterns, studying communities, and mapping relationships between actors, organizations, and ecosystems. Through visualizations, conversational maps, and advanced reporting systems, it transforms complex data into useful knowledge for research, strategy, and decision-making.
No. Artificial intelligence proposes analyses, patterns, and findings, but it is always the researcher who approves, corrects, or discards each conclusion. The platform accelerates and systematizes the process; it does not replace expert judgment.
Each conclusion is tied to the data that supports it: who said it, in which interview or document, and at what time. This way, any finding can be justified and defended to the client, instead of delivering a summary that cannot be traced back to its origin.
Unlike a report that gets filed away and lost, in Qualigrafo every investigation is integrated into a reusable database: the data from one study can be linked to previous or subsequent studies, without starting from scratch every time.