We have created a platform that can become an integral part of every workflow, reducing frictions and wasted time dedicated to communication, transparently exposing each phase of the manufacturing process.

The principles that guide us:


The secret is to bring analytics and operations together. Convergence enables the immediacy of operational applications through the insights brought by the data. Being able to leverage the so-called continuous analytics, automated actions and rapid responses to impact the business as events occur.


Understanding information flows and capturing the context are the building blocks of digital transformation and the development of enabling applications. These events can come from multiple sources, web events, emails, chats, work tasks and other types of events.


The flows allow you to enable event-based microservices.

Microservices are an approach to application development in which a complex application is implemented through a suite of modular services. Each module supports a specific business goal and uses a simple, well-defined interface to communicate with other modules.

The components of the platform:


BPM plays the role of "conductor" in the organization, assigning which employee, external user or system should act at all times and ensuring complete tracking and storage of all information exchanged and generated during the process, from the beginning at the end.

BPM is not a "one-off exercise". It involves continuous process evaluation and includes actions to improve the total flow of processes. All this leads to a continuous cycle of evaluation and improvement of the organization. The main objectives: to improve the end-to-end customer experience and improve the productivity of our employees, eliminating repetitive activities and allowing employees to focus on activities that add value to the company (creative improvements, new strategies and solutions , decision-making, etc.) and of course savings in terms of time and costs.


The communication client brings the whole team in one place, making it accessible from anywhere.


In this context, the key is to be sure that the data reaches the right place. System integration is therefore a key component of the platform that we have available.

We have chosen a vertical approach to system integration in order to have quick solutions and to connect data, applications and API's. This in particular allows us a continuous transformation.

Our integration layer provides:

  • High Availability e Fault Tolerance message logs.
  • Multiple Topic Consumers
  • Real-Time Handling / scalability
  • programmable microservices in any language


to help people and processes, from poor data to rich data

The practice of Data Science is an exercise in continuous research, experimentation and discovery. A strong collaborative synergy between the business unit and the data science team can be the basis for a solid model with solid corporate justifications. From experience-driven and leader-driven decision making to front-line data-driven decision making.

ML techniques to implement:

  • Supervised Learning: classification by Naïve Bayes
  • Classification: Bag of Words and Naïve Bayes
  • Characteristic extraction: probabilistic analysis by creating attributes
  • NLP Automatic creation of tags (Image) Generation of text by classification of NLG images and tags with Flow Tensor or other libraries
  • Search for variant products through Cluster
  • Creating Cross - and Up-Selling by finding similar products
  • Automatic generation of SEO keywords based on content or sales data

Workflow automation

The advantage of autonomous intelligent systems is their ability to constantly keep an eye on systems and data. Instead of having to code workflows or integrate them with APIs that may not offer full access to data, artificial intelligence-enabled process flows can simply observe data and workflows as they actually occur between systems and act on those that correspond to the identified models.

Big Data Wrangling

We intend to create a Big Data platform in which to transmit all user interactions, integration mappings, to be used as a basis for the distribution of reports, the search for data mining algorithms to improve data quality and process monitoring to identify measures for SLA (Business Process Mining).

AI - chatbot

Artificial intelligence is changing the way we search and do things and chatbots are the true example of human aspiration for automating repetitive tasks. Chatbots act as a new user interface, a new link between the services and their users.