top of page


Get to know a little bit more about the technologies that we work with.



Servicenow is a multinational cloud software for service management .  Today, we have all certified professionals working with our Servicenow projects and we continue to invest in qualification.

What we do:

  • Creation and implementation of service portal

  • Creating workflows

  • Creating catalogs

  • Integrations

  • Benefits

  • Reduce costs

  • Reduce compliance risks

  • Increase the efficiency of IT processes

  • Resolve customer incidents very quickly

  • Improve employee experience


Microsoft is, in addition to owning Windows, the maker of Azure. Azure is a growing collection of integrated cloud services that developers and IT professionals use to build, deploy and manage applications across our global network of data centers .  

What we do

  • Specialized development in C#



Microfocus is a worldwide software company with 40 years of experience delivering and supporting software solutions that help customers innovate faster and at a lower cost .

Modernizing COBOL applications can bring a number of benefits to your organization:

  • Optimize my IT spend with distributed platforms, containers and the cloud, and use new architectures.

  • Reduce COBOL application delivery cycles and lower costs.

  • Develop and test COBOL applications faster

  • Analyze and document all COBOL applications

  • Modernize the COBOL app user interface and provide web and mobile access.

  • Provide real-time relational access to COBOL data files

big data

Big Data is the term used for processing datasets that are large and complex. The challenges are great and to work with this large volume of data and generate effective results, the challenges are great.

cloud computing

Cloud computing has been adopted by large, medium and small companies. For the most diverse applications, from ITSM to website hosting.  

The biggest advantage of cloud computing is the possibility of using software without these being installed on the computer. But there are other advantages:

  • Most of the time the user does not have to worry about the operating system and hardware that he is using on his personal computer, being able to access his data in the "computing cloud" independently of that;

  • Software updates are done automatically , without the need for user intervention;

  • Corporate work and file sharing become easier , since all information is in the same "place", that is, in the "computation cloud";

  • Software and data can be accessed anywhere , it just needs access to the Internet, it is no longer restricted to the local computing environment, nor does it depend on the synchronization of removable media.

  • The user has better control over expenses when using applications , as most cloud computing systems provide applications for free and, when not free, are paid only for the time of using the resources. It is not necessary to pay for a full license to use the software;

  • It reduces the need for maintenance of the physical infrastructure of client/server local networks , as well as the installation of software on corporate computers, as this is the responsibility of the cloud software provider, as long as the client computers have Internet access;

  • The infrastructure required for a cloud computing solution is much leaner than a traditional hosting or hosting solution , consuming less energy, cooling and physical space and consequently contributing to the preservation and rational use of natural resources.


The biggest disadvantage of cloud computing comes out of its purpose, which is internet access. If you lose access, you will compromise all embedded systems.

  • Processing speed: if a high transfer rate is needed, if the internet does not have a good bandwidth, the system can be compromised. A typical example is with digital media or games;

  • As with all types of services, it is paid for.

Currently, cloud computing is divided into 7 types:

  • IaaS - Infrastructure as a Service or Infrastructure as a Service : when a percentage of a server is used, usually with a configuration that suits your needs. (eg Softlayer)

  • PaaS - Platform as a Service or Platform as a Service : using only one platform such as a database, a web-service, etc. (eg IBM Bluemix, Windows Azure and Jelastic).

  • DaaS - Development as a Service or Development as a Service : development tools take shape in cloud computing as shared tools, web-based development tools and mashup-based services.

  • SaaS - Software as a Service or Software as a Service : use of a software on a web basis (eg Google Docs, Microsoft SharePoint Online).

  • CaaS - Communication as a Service or Communication as a Service : use of a Unified Communications solution hosted in a provider's or manufacturer's Data Center (eg Microsoft Lync).

  • EaaS - Everything as a Service or Everything as a Service : when everything is used, infrastructure, platforms, software, support, in short, what involves ICT (Information and Communication Technology) as a Service.

  • DBaas - Data Base as a Service or Database as a Service : when using the part of database servers as a service.

machine learning

Machine learning is a subfield of computer science that evolved from the study of pattern recognition and the theory of computational learning in artificial intelligence. In 1959, Arthur Samuel defined machine learning as the “field of study that gives computers the ability to learn without being explicitly programmed.” Machine learning explores the study and construction of algorithms that can learn from their mistakes and make predictions about data Such algorithms operate by building a model from sample inputs in order to make predictions or decisions guided by the data rather than simply following inflexible and static programmed instructions.

bottom of page