Discover the form in which dipli operates
We transform repetitive analysis tasks and speed up the process for you. Save time!
Use of Artificial Intelligence
The intelligent engine behind Dipli
Dipli is an advanced qualitative analysis and market trend study platform that transforms in-depth interviews (IDIs) and focus groups (FGs) into structured knowledge, regardless of the topic or nature of the study.
It works using classification and hierarchy algorithms that analyze and organize information with precision. With the support of machine learning, Dipli scans the transcripts of the IDs and GS to locate the fragments where each question is answered, grouping them into a pre-analysis matrix that organizes the essential topics.
Then, a MARL system refines the findings, while RAG ensures traceability and consistency. Thus, Dipli generates explanatory and verifiable qualitative reports for reliable strategic decisions.
Benefits of the platform
Dipli offers analysts an advanced tool that provides them with a solid foundation for enhancing analysis and improving the quality of their results. Through detailed, structured reports enriched with descriptive and explanatory analysis, segmentation, and a visual style that facilitates information consumption, the platform allows each study to be approached with greater depth, precision, and the ability to manage high volumes of data.
Rather than replacing the analyst, Dipli amplifies their judgment and reach, becoming a strategic ally for teams seeking to scale insight generation.
less time
Generate reports in minutes, saving valuable time.
Real-time access
Get updated data instantly.
Greater precision
Minimize human error with automated analysis.
Ease of use
Intuitive interface that does not require advanced technical knowledge
Personalization
Tailor reports to your specific needs.
Continuous support
Technical assistance available to resolve any questions.
dipli is not a wrapper with GPT
Where others apply a layer of AI on top of the data, Dipli structures the analysis from within: with logic, roles, and traceability.
