Research and Development


The Blockchain-based technology allows to establish virtual channels for the automated transfer of physic or digital assets (state and property), through the internet. This has made it possible to redefine the B2B , B2C, B2M, M2M and C2C business models, enabling a new paradigm of collaborative and decentralized market for companies.

Blockchain allows companies to digitize their products and define the sets of rules and processes for automated acquisition by third parties through the Internet (Smart Contracts) trace and audit the resulting logistics in a reliable and unalterable way and automate the payments that are necessary (cryptocurrency/fiat), without the need of the validation of intermediary entities that could slow down the daily operations.

When a company connects its usual software applications to one or several Blockchain channels, they are establishing a transparent, bidirectional, standardized and economic bridge that will allow it to nourish its applications with relevant information for its operation, acquired, in real time, from third-party companies and vice versa.

In ByEvolution we are aware that the Blockchain technology needs to evolve to make the great leap to global markets, as well as being redesigned to be able to operate with efficiency and guarantees, in a mass consumption environment with hundreds of millions of simultaneous users and machines. That is why we are working on the development of a new generation of Blockchain / DLT platforms, standards and protocols that solve these problems with solvency.


The traditional computing model is based on the use of transistors; electronic devices that allow to store or release electric charge at will and that allows the representation of the information based on two differentiated states (bits): True and false (1 and 0).

The grouping of billions of transistors within the microprocessors allows performing arithmetic and logical calculations that practically enable simulating any situation in the real world and predicting the best course of action to undertake. However, the physical nature of transistors forces that all possible solutions to a given problem have to be calculated sequentially. Lets say that a transistor, at a given moment, can only be storing one of the two possible states, so first it will have to be tested in one state and then in the other. This design limitation causes the resolution of some types of problems; specially those that require to evaluate large volumes of data and possibilities of choice, exceed the machines maximum capacity of calculation, therefore, are unapproachable or require too much time to process.

On one hand, Quantum computing, takes advantage of the physical phenomenon of superposition, which consists in the fact that an electron can be found in all possible states until it is directly observed, transforming on to a concrete state after observation.

Consequently, a quantum microprocessor can work in parallel with the two possible states; to calculate simultaneously the resulting solution resulting from applying true and false in each processor “transistor”.thus solving the problems that from the classical perspective were unapproachable.O

n the other hand, the quantum principles; applied to communication networks, will allow in the next few years the parallel transmission of much larger volumes of information.


We are in the forefront of an inevitable generational change that will affect computers and telecommunication networks, leaving much of the communication protocols, security mechanisms and current development paradigms obsolete.


In ByEvolution we are aware of the great change that is coming,so we are working to define solutions that allow companies to adopt technology and adapt to the new IT ecosystem that will result from its application.


It´s a special type of software that has the capacity to perceive its environment and to carry out actions that maximize its chances of success in some objective or task by imitating the behavior of human beings.

The intelligence degree of a software is measured by assessing the ability of a system to correctly interpret external data, learn from them and use the knowledge acquired to achieve specific tasks and goals through flexible adaptation.

Artificial intelligence has been applied successfully in the fields of systems control, automatic planning, diagnosis elaboration, classification, consumption analysis, writing and speech recognition and, in general, the recognition of patterns.

In ByEvolution we are working to provide Blockchain channels with the benefits derived from incorporating AI-based services.