Artificial Intelligence (AI) is a subset of Computer Science where machines can appear intelligent when executing programs, indispensable for Industry 4.0 and new trends in providing services. It is a very broad subject and covers for example, from the automatic doors of the shopping centre, to the most intelligent systems that are currently being built.
Continuously improving the products and services that companies offer is no longer enough. New technologies allow disruptive, not evolutionary, improvements that generate a great leap in the way of providing the service or designing products that meet the needs of customers or even surprise them.
Our company has been created to bring these new technologies closer to SMEs and offers the following services.
As it is a new technology, you may not know the new opportunities that you may have, or you may find yourself in one of the following needs:
• Automation, to eliminate manual processes.
• Anticipation, to predict events.
• Personalization better serve our customers.
Machine learning is the practice of giving a computer a set of rules and tasks, and then letting it find a way to complete those tasks. The machine, in essence, starts without knowledge and, through trial and error, comes up with a suitable solution. The power of Machine Learning is obtained through the neural network.
The neural network is a structure analogous to the brain. It is made up of nodes, connections, and weights. Deep learning networks use neural networks within them, they have an input layer, an output layer, and training or inference modes. These technologies also evolve, such as Convolution and Max Pooling, allowing algorithms to run faster and the calculation to be done in greater depth.
Computer vision is the practice of giving machines knowledge of their physical world through sensors. In the past, this was a very fragile and complicated task that required a specific algorithm to analyse the pixels. These algorithms were not flexible and had to be used in specific cases. Recent developments in the speed and number of GPUs have allowed Computer Vision to take advantage of Deep Learning Networks that help mitigate problems with standard computer vision algorithms.
The experience accumulated during these years and the use of programming based on a component architecture has led to the creation of many tools with which to face development projects in an advantageous way. Thus, our products are endowed with modularity features and enjoy the benefits of software reuse.
This translates into greater agility in obtaining applications, cheaper maintenance, higher performance, and higher quality of applications, as the evolution and tests are constant.
We are a new company, although with a lot of experience, that offers products developed by its founders, customizable for each client, such as:
• DAM (Digital Asset Management) platform.
• Platform to manage warehouses.
• Online store.
• ERP, specific.
We are developing other AI products, but they are not yet available.
Our confidentiality commitments prevent us from showing the developments made in Deep Learning.
The confidentiality that we maintain with our clients prevents us from showing the real name of the artificial intelligence projects, so we indicate them with a code and the proportional part in hours of dedication that they require.
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