KNOW-HOW

We developed a novel approach by adapting the state of the art Artificial Intelligence algorithms to the classical Engineering applications like signal filtering, sensor fusion and control systems. This give us a competitive advantage over the existing solutions.

LEAN and FAST

Addfor offers its customers a rapid response to their requests which then, as a consequence, permits a fast planning process. Our lean software development allows us to provide tailored solutions for each individual customer, their requirements and specifications.

CONTINUOUS INNOVATION

Addfor develops high-tech systems based on advanced algorithms that fall in the class of Artificial Neural Networks, Deep Neural Networks and Deep Autoencoders. Our development cycle is a continuous experimentation of new solutions (tools and algorithms) that are validated and compared with existing solutions in order to maintain a high degree of competitiveness on the market and a strategic innovation.

The algorithmic search will also be aimed at the development of academic and commercial collaborations in the spirit of Open Science principle.

We have created the first Italian community in the AI field to keep-up with the rapid-paced development, to share ideas, experiences and to keep an eye on the most important tools and libraries and to maintain contacts and hire the best talents.

RESULTS ORIENTED

The company was founded from scratch in 2008 and since then we have invested a substantial portion of our revenue in research and development, using and re-combining powerful core technologies for the development of various applications, vertical and extremely innovative.

On these bases Addfor develops its own systems for the automotive and aerospace industry.

In the last year in fact we have created many other applications of advanced technologies of Deep Learning and Machine Learning for the sports car and for Formula 1. Only a radically different approach, based on the verticalisation of the algorithms of Deep Learning, allowed a small Italian company made up of a few engineers and mathematicians to develop in a very short time a product with outstanding performance.

KNOW-HOW

We developed a novel approach by adapting the state of the art Artificial Intelligence algorithms to the classical Engineering applications like signal filtering, sensor fusion and control systems. This give us a competitive advantage over the existing solutions.

LEAN and FAST

Addfor offers its customers a rapid response to their requests which then, as a consequence, permits a fast planning process. Our lean software development allows us to provide tailored solutions for each individual customer, their requirements and specifications.

CONTINUOUS INNOVATION

Addfor develops high-tech systems based on advanced algorithms that fall in the class of Artificial Neural Networks, Deep Neural Networks and Deep Autoencoders. Our development cycle is a continuous experimentation of new solutions (tools and algorithms) that are validated and compared with existing solutions in order to maintain a high degree of competitiveness on the market and a strategic innovation.

The algorithmic search will also be aimed at the development of academic and commercial collaborations in the spirit of Open Science principle.

We have created the first Italian community in the AI field to keep-up with the rapid-paced development, to share ideas, experiences and to keep an eye on the most important tools and libraries and to maintain contacts and hire the best talents.

RESULTS ORIENTED

The company was founded from scratch in 2008 and since then we have invested a substantial portion of our revenue in research and development, using and re-combining powerful core technologies for the development of various applications, vertical and extremely innovative.

On these bases Addfor develops its own systems for the automotive and aerospace industry.

In the last year in fact we have created many other applications of advanced technologies of Deep Learning and Machine Learning for the sports car and for Formula 1. Only a radically different approach, based on the verticalisation of the algorithms of Deep Learning, allowed a small Italian company made up of a few engineers and mathematicians to develop in a very short time a product with outstanding performance.