Analysing information requires structured and accessible data for best results. Data transformation procedures enable organisations to adapt the representation and format of raw data and structure them depending on their needs. Datoptron sets in place well-defined and customisable procedures for mapping between different schemata.

How can data be published as Linked Data? How can you unearth the knowledge underlying the data, identify hidden patterns, and discover what you are looking for? Datoptron's expertise in both relational and graph databases ensures that the appropriate approach for storing and querying your data will be followed.

We combine the power of state-of-the-art Artificial Intelligence tools with experts’ and crowd's human intelligence for achieving high quality results and for maximising the user engagement. We organise crowdsourcing campaigns and exploit human feedback in order to gain helpful insights, fine-tune and improve the automatic processes as well as to constructively involve various audiences.