DataSphereLab sp. z o.o.

DataSphereLab sp. z o.o. focuses on the complex preparation and certification of data sets for artificial intelligence systems. The spin-off’s specialisation is automatic data labelling, data quality assessment and optimisation of processing of large volumes of information. The company develops intelligent annotation algorithms that enable fast and scalable labelling of textual, visual or sensory data, as well as systems that assess the consistency, relevance and correctness of the created collections. The company also offers support to organisations in integrating AI solutions into their existing technology infrastructure, and we design logging and data management mechanisms that comply with current standards.

DataSphereLab pays particular attention to information security and regulatory compliance – it implements solutions for data anonymisation, privacy protection and fraud protection, and supports both compliance with RODO and the European AI Act regulation.

In addition, DataSphereLab:

• offers the ability to generate synthetic datasets from simulations, allowing models to be trained even where access to real data is limited or sensitive.
• analyses potential risks to AI systems, including risks from cyber attacks and vulnerabilities in datasets and model architecture.
• provides a complete environment for building, testing and training artificial intelligence solutions, including training platforms and support in certifying datasets for commercial and research projects.

DataSphereLab combines scientific precision with a hands-on approach to data engineering, providing companies and institutions with the tools to use data in artificial intelligence processes safely, efficiently and in compliance with regulations.