We are a model designed to optimize market research processes that take a long time, so this model provides a deeper analysis through the use of artificial intelligence, with our model we can be more efficient to obtain a deeper analysis, avoiding exhaustion of the process so dipli allows to collect the answers in a matrix and obtain a report that is more analyzed in depth and that meets the objectives proposed in the study.
The idea for creating dipli arose from a recurring problem in qualitative analysis processes: the excessive delays and operational burden involved in the initial stages of the work. Activities such as transcribing, organizing, and classifying information required so much time and effort that, by the time the report was prepared, the researcher was already exhausted. This situation not only affected productivity but also jeopardized the depth of the analysis, as many ideas, nuances, or relevant findings could be lost due to simple exhaustion or lack of focus. Faced with this reality, dipli was created as a solution to optimize the process without compromising the depth of the content. By automating the most demanding operational tasks, the tool allows the researcher to preserve all the collected information and focus their efforts on what is truly important: interpreting clearly, building solid insights, and preparing strategic reports with greater precision and efficiency. With dipli, time is saved, burnout is reduced, and the final value of the qualitative analysis is enhanced.
Dipli is an advanced generative artificial intelligence platform specifically designed to transform qualitative analysis. Developed with cutting-edge technologies such as the MARL (MultiAgent Reinforcement Learning) system and LLM algorithms, Deepli is capable of analyzing complex qualitative data with unprecedented speed. The platform organizes, evaluates, and processes information to generate detailed reports, allowing qualitative analysts to focus on interpreting the data and generating strategic insights. Dipli doesn't replace human talent; it enhances it, optimizing analysts' work and providing them with advanced tools to manage massive volumes of data in less time and with greater accuracy.
Founder
CEO
