A spin-off of the research group in data management of University of Basilicata
NOTICE: as of January, 2020 we are revamping our Web site and launching the new domain svelto.tech. Please be patient, we need a few more days yet...
Svelto! is a startup specialized in big-data management and analytics. It was founded in 2017 as a spinoff of the research group in data management of University of Basilicata.
We have put together a young and thriving development team, composed primarily of PhDs. Our mission is to foster technology transfer, and to put our know how to the service of companies and organizations that are looking for cutting-edge software and data-management solutions.
Svelto! embraces the culture of agile development. We believe that software needs to adapt to change, and we believe in short release cycles and continuous acceptance tests by our clients. We also pursue the latest technologies in software development, both on Web, desktop, and mobile platforms.
Svelto! inherits twenty years of know how in software development and big-data management. Over the years our team has promoted leading projects in:
data analytics -- with a focus on machine learning, data mining, and data exploration, and business intelligence;
data integration -- with a focus on schema matching, schema mappings, and data exchange;
data cleaning -- with a focus on constraint-based data checking and data repairing, data normalization, entity resolution and record linkage;
information extraction -- with a focus on wrapper and middleware solutions.
Machine learning, classification, clustering, data mining, big-data management
Data warehousing, OLAP, data exploration
Web apps, mobile apps, desktop apps
data-management consulting, digital transformation, software-cost evaluation
Workforce automation, attendend and unattendend task automation, system integration
Embedded software development, domotics, pub-sub architectures
Schema matching, schema mapping, data exchange, information extraction
Constraint checking and repairing, data normalization, entity resolution