Addfor S.p.A.

About

COMPANY CULTURE
STRATEGY AND PLANNING
•We accept uncertainty as a part of our process
•We have a technology vision, medium and long term plans. At the same time we understand
that it will change as we progress and discover new things about the products and market
•We believe that it's more important to lead the market, create new products and partnerships
that trying to fight competitors. Our competitive vision is bases on the concept of dynamic and
fast growth
•We believe that it's more important to share ideas than protecting our Intellectual Property
with patents.
TECHNOLOGY VISION
•We think that the strength of our products and our services and our competitive advantage are
based on TECHNICAL INNOVATION.
•While most other companies just say that they do innovate, we really strive to do innovation and
invest real money in it.
•Most of our process are based on COMBINATORIAL INNOVATION: when available we use
existing Open Source SW libraries, services and APIs and combine it together to create
new products. Otherwise we write SW components from scratch. This approach gives us
efficiency and effectiveness
•We believe in OPEN SOURCE because we prefer to invest in people rather than in SW
licenses.
ECONOMICAL RESOURCES
•We pay special attention to cashflow and liquidity. this allows us to invest rapidly in markets
and business that can provide innovative solutions or strategic opportunities.
•Moreover the economic response to our suppliers, which is almost immediate and regular,
makes our suppliers turn into partners, guaranteeing us the best prices and quality.
PEOPLE
•Our goal is to keep on hiring the best people we can find, without compromise
•We also believe that work should be challenging. This is why we ask the newcomers to work
from the beginning on important projects
Most important of all, we want to maintain the excitement, that everybody shares in our
company, of coming to work every day to do something amazingly great.

Keywords

artificial intelligence, computer vision, predictive maintenance, data analisys, deep learning

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