We develop solutions that simplify the process of analyzing large volumes of data, enabling small and medium enterprises that do not have data science specialists to perform data analyzes, and to take better strategic decisions, based on data.
For that, we have developed a SaaS solution, that uses artificial intelligence algorithms over the big data of companies clients. Crossing their data with other updated market and socio-demographics databases, to allow users to identify the best places for expansion and to improve digital marketing campaigns results, for clientes prospection Deepen is a startup whose value proposition is to solve the problem of choosing the location for business expansion and to optimize marketing campaigns according to clients profiles.
As we work with markets that need to find locations to open new business units, we focus on segments that have networks, such as retail networks and franchises, educational networks, such as universities and schools, and re...
We develop solutions that simplify the process of analyzing large volumes of data, enabling small and medium enterprises that do not have data science specialists to perform data analyzes, and to take better strategic decisions, based on data.
For that, we have developed a SaaS solution, that uses artificial intelligence algorithms over the big data of companies clients. Crossing their data with other updated market and socio-demographics databases, to allow users to identify the best places for expansion and to improve digital marketing campaigns results, for clientes prospection Deepen is a startup whose value proposition is to solve the problem of choosing the location for business expansion and to optimize marketing campaigns according to clients profiles.
As we work with markets that need to find locations to open new business units, we focus on segments that have networks, such as retail networks and franchises, educational networks, such as universities and schools, and real estate developers.
We are currently in the commercialization phase with some SaaS customers generating recurring revenue and some other sales in the consulting format, in order to validate some value deliveries, before developing new functionalities.
The solution, built on Java, was developed for non-technical people to be able to use, running artificial intelligence, machine learning and deep learning algorithms over customers Big Data and market databases, such as IBGE databases, in order to identify sales patterns, consumer trends and customer profiles, as well as the best locations to open a new business. By using multi-threaded, in-memory data, and real-time geographic map manipulation, we offer animated, interactive visualizations of historical data associated with geographic and conceptual maps, generating algorithms-based analysis.
All the used technology is developed by our team, making use of free-use APIs or created out of the team expertise. Our developers have full mastery over the used programming languages, APIs and product development processes, since we have more than 6 years of R&D (we are a spin-off of Palmsoft, a technology company).
The solution has a computer data programming certificate dated on October 1, 2012, and valid for 50 years.
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Investors

Jaime de Paula
Admin
Jaime de Paula

Employees

Marina Luna
Admin
Marina Luna Analyst
Ricardo Kendy Horigome
Admin
Anderson Rodrigues
Admin
Anderson Rodrigues