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Successful projects

Proud of our successful projects and thankful to the partners!
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NGI Sargasso TruPS - Enhancing Trusted Transatlantic Data Processing and Storage with Fully Homomorphic Encryption

TruPS (trups.eu) seeks to strengthen EU-US collaborations by employing Fully Homomorphic Encryption (FHE) for data processing and storage. This project will create a secure, privacy-preserving solution for cross-border data processing and storage. TruPS will address both EU and US legal regulations, pivotal for enhancing mutual trust and ensuring compliance with stringent data protection regulations, and thus empowering the users with more options for secure and regulatory-compliant data governance.

Funded by the European Union. Funded within the framework of the NGI Sargasso project under grant agreement No 101092887.

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SBS Uncert - Support for standardisation of sample-by-sample waveform uncertainty computation

Electrical waveforms, used to describe dynamic processes, are important measurement quantities for many communities. The communication sector, i.e., 5G and 6G suppliers, as well as the power grid industry, and metrology institutions in general require stardardised full-waveform-based data processing. So far, only parameter-based measurement quantities like the rise time of an oscilloscope are defined in international standards, even though it is well known that the parametric description is not unambiguous. Moreover, for complex measurement scenarios, a reliable uncertainty estimation and propagation is only possible by an approach based on full waveforms.

This work has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States, under grant number 23NRM01 SBS Uncert.

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NGI TrustChain MorphMetro

Secure and privacy-preserving exchange and analysis of measured data based on homomorphic encryption
MorphMetro has received funding from the Next Generation Internet Initiative (NGI) within the framework of the NGI TrustChain project.

 

MorphMetro aims to create an open-source solution for secure data exchange and analysis in quality assurance across various industries. The project focuses on developing a system for the secure, privacy-preserving transfer and analysis of measured data, utilizing emerging technologies and standards.

 

The project addresses the lack of a universally accepted protocol for structuring and disseminating measurement data. It seeks to ensure data security and privacy, especially when measured data contains Personally Identifiable Information (PII), and to comply with metrology regulations and standards.

 

More details: https://morphmetro.eu/ 
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Sensor networks are used in many fields but are struggling with data quality of varying degrees, with unknown measurement uncertainty and lack of traceability to the SI, limiting their applicability. To overcome these issues, this project will address the metrological aspects of generic sensor networks, covering uncertainty propagation, data quality metrics and SI-traceability. In addition, this project will cover the assessment, infrastructure, and risk analysis of distributed sensor networks alongside software frameworks by developing automated applications. The applicability of the methods, tools, and concepts will be demonstrated in typical real-world sensor networks.
This work has received funding from the European Partnership on Metrology, co-financed by the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States.
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EBSI Early Adopter Programme

Random Red Ltd. has been chosen to participate in Tier A of the European Blockchain Services Infrastructure (EBSI) Early Adopters Programme with our metrology-oriented services.
 
If you are interested in collaboration, feel free to contact us.
THE VISION - Our project aims to leverage blockchain technology to improve the verification processes in legal metrology. This includes the calibration and testing of measuring instruments, the issuance and verification of credentials for laboratories and legal entities, and the facilitation of cross-border verification of these credentials. By utilizing EBSI's capabilities, the project intends to streamline these processes, reduce bureaucratic overhead, and increase transparency and trust across member states.
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Machine learning model in financial sector

Random Red has developed a model that predicts the probability of late payments for loans and credit cards and segments the accounts into different risk categories. Random Red's skills, professionalism, and work efficiency are commendable. While working, they have carefully taken care of the needs and requirements of our company, applying new creative solutions. We are looking forward to our collaboration in the future as well.

Bruno Kovačević, Director Of Software Development and Testing, Raiffeisenbank Hrvatska

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NGI Trublo Metroracle
(The Metroracle project ended in April 2023)

Blockchain oracles compliant to metrology standards

Although various concepts exist for applying the blockchain technology to “real-world” data, there is a remaining weakness of the starting point, i.e. the question is – how to ensure that data measured by IoT devices is trustworthy, not tampered with, not erroneous, not fake?

To answer this question the project Metroracle focuses on adopting well-defined metrology standards and goals of digital transformation of metrology for use in IoT applications supported by blockchain technology.


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Consulting and research

Random Red delivered their consulting and research work for Sedmi odjel in accordance with the agreement, with a maximum professional approach and in timely manner. We can highly recommend Random Red for their professionalism and we hope we'll have the opportunity to cooperate with Kruno and Davor in the future.

Marin Vidakovic, Chief Executive Officer, Sedmi Odjel

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Technical Consulting and Analysis

Technical Consulting and Analysis carried out for H&MV Engineering included:
- Providing expert advice on power grid configurations and their performance in the presence of components generated by nonlinear and time-variant devices.
- Using measured data and technical specifications to inform the analysis and recommendations, and compiling detailed technical findings into a comprehensive report for client use.

The E in RED is for Education

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UPDATE (Future Powered by Artificial Intelligence)

Random Red conducted education in the field of artificial intelligence in Osvit Business Incubator. The education is held as part of the UPDATE (Future Powered by Artificial Intelligence) project financed by the Croatia-Serbia Interreg program. We are teaching Scratch and Python programming applied to autonomous educational robots where learners can experience math, physics, and AI technology in a cutting-edge and inspiring way.

KA121-VET Accredited projects for mobility of learners and staff in vocational education and training

Additionally, Random Red provides through internships support to Eramus+ project "KA121-VET Accredited projects for mobility of learners and staff in vocational education and training" in collaboration with Work Experience Agency Ltd and Na­tur­wis­sen­schaft­lich-Tech­ni­sche Aka­de­mie, Isny.
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