Sciling

At Sciling we work on bringing high-complexity AI solutions to production, in use cases where out-of-the-box solutions are not viable. This is where our team’s expertise is able to offer the most value. These projects cannot be confronted as conventional IT projects, given that they are closer to R&D projects than to IT. At Sciling we realized this as soon as we started working on real-world problems, back in year 2014. For this reason, conventional software development methodologies need to be adapted. That’s why we have been working on adapting them, both in the strategy phase and in the development phase. Additionally, our framework ensures risks are discarded in order of importance, so that potential project failure is reduced progressively, and initial steps are devoted to ensuring project success. Hence our commitment: we only implement a solution if the preliminary analysis has proven that it will be able to reach the business objectives that have been established. In AI, as in other fields, the difference lies in experience. With over 20 years of experience and 10 years as a company, there are few companies that boast such an experience.