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Case studies

We have accompanied different clients, from startups to large leading companiesin the market, with our methodology of continuous improvement, always seekingto offer satisfactory experiences that respond to the real needs of users. These are some examples of what we have achieved.


Well-being platform

The need

Many users of a healthcare platform were not leveraging the benefits and services offered by their compensation fund for themselves and their families. In the context of the Covid-19 pandemic, it was crucial that they understood the benefits associated with mental healthcare, as well as allowing access to services that were not previously available online to avoid unnecessary travel and risk of infection.

Our solution

We implemented a system that could deliver quality healthcare to diverse communities and provide them with 24/7 access to a medical team. We automated task assignments and reduced distances with geolocation.

The platform allows clear visualization and management of more than 35,500 patients in the system, with all their updated data, location coordinates, diagnoses, and clear and timely information. Patients can benefit in many ways by deciding to be hospitalized at home, saving them expenses and efforts in traveling to hospitals and thus reducing the risk of hospital-acquired infections.

This was achieved by implementing modern technologies such as Flutter, reactive, elastic, and resilient architectures, non-relational databases, microservices, and agile work methodologies. The platform is scalable and allows for the rapid enablement of other services.

Centralization of data for a pension fund company

The need

Ensuring an exceptional user experience is crucial for a pension fund company. Efficiency plays a critical role in achieving this objective. We had to devise a method to centralize vital information, validate data, and display updated statuses of savings funds, as well as voluntary and mandatory pensions.

Our solution

We built a solution based on a reactive architecture and developed with state-of-the-art technological tools. We moved data from multiple sources to a non-relational database through an iterative and incremental migration, guaranteeing a rigorous quality and measurement process.

This solution became the company's centralized and standardized source of information, resulting in greater efficiency in customer service processes, data updating and distribution of statements and certificates. It enabled a unified visualization of information and reduced operating costs.

Real people recognition for digital banking

The need

Enabling the option to request a loan online can be beneficial for clients in the banking industry. However, not being able to conduct transactions face-to-face can introduce complications that may compromise the platform's reliability or facilitate online fraud. Therefore, it is crucial to ensure a proper identification process to grant access to the company's digital channels only to the right individuals.

Our solution

We developed an application utilizing a prediction model leveraging artificial vision. This model presented a randomized challenge to individuals applying for a loan, enabling us to verify their vitality and concurrently prevent fraud through machine learning-based prediction.



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