Uber is a global peer-to-peer ridesharing and services company. DataStork is working together with some of Uber’s senior engineers on the backbone of their financial system, assuring it scales to meet the ever-growing demand of their clients.


Bosch is an internationally recognised company for delivering home appliance goods, high-precision engineering modules and IoT solutions. DataStork is engaged in prototyping Cloud and IoT solutions for some of their enterprise clients.


Ontotext identifies meaning across diverse databases and massive amounts of unstructured data. DataStork builds text mining and machine learning related tools for internationally recognised brands.

“We worked with DataStork over a period of a year and a half. For that time, their team helped us develop a curation tool, used by our client Financial Times to refine an AI NLP (Natural Language Processing) engine. Other projects included building software to scaled out the content-finding capabilities of the IET scientific library through semantic analysis and, for another of our clients (a global leader in assurance, tax, transactions and advisory services), developing a highly efficient text-analytics pipeline to be used in their day-to-day business processes.

DataStork’s expertise has been invaluable to our business and the successful completion of our projects. Their software development team is highly skilled, dedicated and passionate about delivering a high quality of engineering work. Collaborating with them has been both productive and a pleasure and we look forward to working with them again in the future.”

Veska Sergeeva-Davidova

COO at Ontotext



BigData driven decision system for reselling products on Amazon.

Through state-of-the-art in-memory stream processing of the huge volume frequent product updates, DataStork dropped down the time for a no/sell decision by 60%.