Criminal Behavior Model Powers Effective Patrolling Routes and Strategies
Police Patrols Were Scheduled Reactively, Not Based on Where Crime Was Likely to Occur
Avata Intelligence needed to develop a realistic, learnable model of criminal behavior to help urban police forces optimize patrolling strategies and resource allocation across the city.
ML Model Combines Crime Events, Demographic, and Environmental Data into a Behavior Model
Blindspot collected comprehensive crime-related data and built a machine learning model incorporating environmental and demographic factors alongside crime events. This analytics module was integrated into Avata's intelligence-led policing platform to enable data-driven decision-making for patrol scheduling.
Patrol Routes Now Driven by Predicted Criminal Behavior Rather Than Intuition
More effective patrolling routes and strategies were implemented, enabling law enforcement to identify criminal trends and patterns and allocate resources based on predictive analytics rather than intuition.
"Blindspot created an analytics module for our intelligence-led policing platform, combining environmental and demographic datasets with crime events revealing trends and patterns of criminals."Zaré Baghdasarian, CEO, Avata Intelligence
More Case Studies
Machine Learning Models Reduce Customer Churn at Socialbakers
Blindspot built multiple ML models to predict which customers were most likely to churn next month, enabling Socialbakers to proactively intervene with targeted retention strategies and measurably improve their retention rate.
Automated Inspector Scheduling Reduces TÜV SÜD Planning Team by 33%
Managing inspector dispatch across multiple China hubs via Excel was no longer viable at scale. Blindspot replaced the fragmented process with a centralised scheduling platform, cutting the scheduling team from six to four and handling peak seasons without bottlenecks.
Generative AI Integration Helps Ataccama Lead the 2024 Gartner® Magic Quadrant™
Over nine months, Blindspot integrated LLM technology into Ataccama's data management platform — building a natural language interface for non-technical users and an AI co-pilot for bulk data quality rules — contributing to Ataccama's Gartner Magic Quadrant leadership position.
Want to be Our Next Success Story?
Our team of AI engineers and domain experts will work with you to understand your challenge, design a solution, and deploy it to production.