NotCentralised, an Australian based tech company that utilizes blockchain technology to offer solutions, has been selected by the Qatar Research, Development, and Innovation Council (QRDI), acting through Qatar Foundation, to lead and deliver a blockchain Optimization of Certification Attestation Process project.

As per the announcement, this initiative aims to design a state-of-the-art attestation flow leveraging emerging technologies for the benefit of Qatar in partnership with RedBelly Network a premier blockchain team and Microsoft. The team will use blockchain technology in certification attestation for Qatar.

As a specialist in emerging technologies, NotCentralised has deep expertise in Blockchain, Tokenization, and Generative AI. Our team has contributed to high-profile projects, including CBDC pilots for the Reserve Bank of Australia and Generative AI implementations for Sydney’s largest Primary Healthcare Network.

NotCentralised won the the first challenge, titled “Certification Attestation Process – Optimization through Blockchain Technology,” which aimed to address various issues associated with the current manual certification verification process, such as workforce requirements, extended processing times, semi-automated university and government systems, high costs, intricate procedures, susceptibility to errors, degree forgery, and unauthorized verification.

The initiative is supported by The Qatar Research, Development, and Innovation (QRDI) Council’s flagship program, Qatar Open Innovation (QOI), launched the Open Innovation Opportunities in partnership with the Ministry of Labour (MoL) in Qatar.

This collaboration represents a significant milestone to enrich the technology sector and promote innovation. QRDI’s QOI program, known for its dedication to fostering innovation, introduces an Innovation Opportunity geared towards transforming the certification attestation process and document analysis for Qatar’s Ministry of Labour.

There was also a second challenge, titled “Artificial Intelligence Driven Document Analysis for Qatar’s Ministry of Labour,” focuses on improving the efficiency of the Ministry of Labour’s operations. Manual document analysis has been time-consuming, labour-intensive, and error prone. By adopting AI-driven solutions, MoL aims to modernize its processes, reduce manual labour, and enhance efficiency, with a primary focus on contract analysis in the Arabic language.