Data Forensics
Data-based Legal Tech Research and Development for Public Safety
Led by investigation information analysis experts from law enforcement agencies such as the police, we pioneer the industrial market in the field of public safety data science, including legal tech.
Data Forensics: Activities that contribute to public safety by utilizing public and private data in the fields of public safety, criminal justice, and evidence investigation to investigate and analyze crimes or abnormal activities, and by providing related technology development and services.
Main Business
UniSoul Friends Data Science is engaged in the following business areas:
#01
Research and Development in Scientific Policing
We pioneer the field of data forensics and develop big data-based data analysis technologies.
#02
Data Science Infrastructure Construction
We design and build infrastructure for advanced data analysis, such as data lakes.
#03
Government-Industry-Academia Collaboration
Through government-industry-academia collaboration, we contribute to the industrial market in the field of data science.
Related Achievements
We contribute to national security enhancement and social safety by utilizing advanced data science technologies, and we are pioneering the field of data science through continuous research and development and industry-academia collaboration.
1. Research and Development in Scientific Policing
(1) Participation in the Korean National Police Agency project for the development of an integrated analysis and inference system for cybercrime investigation leads
- Development of investigation information analysis profiling technology
- Contribution to the Korean National Police Agency's national research through the development of AI-based big data analysis technology
(2) Participation in AI-based investigation support R&D project
- Building a database of criminal trial investigation records for 'fraud' cases through an expert committee composed of field investigation and data forensics experts
- Support for creating virtual scenarios to verify the effectiveness of developed AI technologies
2. Data Science Infrastructure Construction
(1) Planning and development of data platforms in the field of data forensics
- Planning data platforms for academic exchange in the field of public safety data science among practitioners, researchers, and students
(2) Consulting and construction of clinical research data lake infrastructure in hospitals
- Consulting and construction of data lakes for multi-omics and genomic analysis
- Supporting research through customized consulting and construction reflecting limited R&D budgets