Data Analytics and Machine Learning
We use a variety of Artificial Intelligence and Machine Learning tools to examine historical
data, identify patterns and select the most accurate algorithms to provide a predicted output.
In this process, the learning algorithms will train and optimize our custom model for expected
Do you need to solve a data science problem in your business?
We evaluate the available resources to support the project.
We formulate the hypothesis to test and learn the data.
We collect, process and clean data for the machine learning project.
We build a model that uses the data to achieve the goal.
We develop datasets for training, testing and production purposes.
We evaluate the model findings, measure the metrics of the project and communicate results.
We provide a detailed report with key findings, briefings and technical specifications to the
The access to information in our platform is multi-channel, which gives it flexibility, ease of use
and rapid scalability. Users will have access profiles, so access to the information can be
parameterized according to the profile and restricted according to the intended application
administrator. All the information is anonymized, and we do not store any images on our
The application is available for cloud hosting or dedicated servers, in a secure HTTPS
environment together with a web-based user interface.
Our algorithms are programmed in the
Python language and/or Tensorflow and Pytorch. Python is a versatile programming language
and can run on any platform, including Windows, MacOS, Linux, Unix, and others.
We use supervised and unsupervised learning models to solve numerous complex problems
and drive business value in organizations, in areas such as:
- - Customer churn prediction
- - Customer recommendation
- - Customer segmentation
- - Fraud detection
- - Financial analysis
- - Business efficiency
- - Information extraction
- - Decision support
- - Image recognition and classification
- - Time series forecasting