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The São Paulo Civil Police (PC-SP) is one of the main public security institutions in Brazil, responsible for investigating crimes in a state with approximately 4 million annual occurrences.
With the goal of modernizing how inquiry data is managed, PC-SP was seeking solutions that could improve the efficiency and accuracy of investigations.
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Need to handle a vast volume of data and identify criminal patterns efficiently.
Since 2017
All investigation data, including evidence, interrogations, reports, and others, started being collected in digital format.
4M
Complaints about criminal occurrences received annually by the São Paulo Civil Police (PC-SP).
+1000
Cases of theft and robbery per year.
206M
Robberies against pedestrians and 106,000 car thefts registered in 2017.
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After the digitization of police inquiries at the end of 2017, the PC-SP faced the challenge of leveraging the large volume of data generated to improve investigations. With over 1 million annual cases of theft and robbery, the need for a solution that could quickly filter and analyze this mass of data was urgent. The objective was not only to organize the information but also to extract insights to identify patterns and potential suspects more effectively.
Need to integrate data from different sources and formats.
Lack of tools to cross-reference information and identify criminal patterns.
Demands for greater speed and accuracy in investigations.
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Almaviva Solutions, in collaboration with PRODESP, implemented an advanced artificial intelligence solution, integrating cognitive systems with Natural Language Processing (NLP) technology to optimize investigations by the PC-SP.
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The implementation of the cognitive solution transformed the dynamics of investigations in the São Paulo Civil Police, providing significant advances that contributed to increasing efficiency and public safety.
Greater Efficiency in Investigations
The analysis and correlation of large volumes of data allowed for a more agile and precise identification of criminal patterns and potential suspects.
Increased Accuracy in Identifications
The system highlighted recidivism and territoriality, identifying criminals who repeat offenses and operate in specific areas.
Reinforced Security
The ability to process data quickly resulted in a safer environment, strengthening public trust in the PC-SP.
Improved Quality of Life
With faster investigations, citizens experienced a greater sense of security, increasing credibility in police actions.
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