Identify and disrupt illegal residential & commercial cannabis factories.
We deliver actionable cultivation intelligence reports to police services throughout the United Kingdom.
Commercially sourced satellite imagery




Machine-learning (ML) image recognition


Delivering actionable intelligence reports to police services and agencies ‡












Cannabis Factory Finder represents a significant advancement in the application of artificial intelligence (AI) and machine-learning (ML) algorithms to law enforcement operations. Our research integrates sophisticated image recognition technology with commercially sourced infrared satellite imagery to address the persistent challenge of identifying and disrupting illegal cannabis cultivation facilities in residential and commercial properties.
The primary research objective centers on developing a robust methodology for reducing detection and intervention timelines in cases of illegal cannabis cultivation. By implementing advanced machine learning models trained on verified thermal signatures, our system achieves significantly higher accuracy rates compared to traditional detection methods. The iterative nature of our algorithmic approach enables continuous refinement of detection parameters, thereby enhancing the system's capability to distinguish between legitimate thermal anomalies and those indicative of illegal cultivation operations.
Our proprietary artificial intelligence system employs sophisticated neural networks to analyze commercial satellite thermal data, identifying heat patterns consistent with illegal cannabis cultivation equipment. This methodological framework enables law enforcement agencies to conduct efficient, large-scale geographical analyses while optimizing the allocation of limited operational resources. The system's integration capabilities with existing police technical infrastructure represent a key innovation in our approach, allowing for seamless incorporation into established investigative workflows.
As additional data is processed through our machine-learning algorithms, the system's detection capabilities undergo continuous refinement, resulting in improved accuracy while significantly reducing false positive rates. This iterative improvement methodology ensures that law enforcement resources are directed toward locations with the highest probability of illegal cultivation activity, maximizing operational efficiency and intervention effectiveness.
The societal impact of illegal cannabis factories extends beyond immediate drug-related concerns, presenting substantial risks to local communities that warrant systematic investigation and intervention. These operations frequently result in extensive property damage due to improper electrical installations, creating significant fire hazards. Furthermore, these facilities often maintain connections to organized crime networks, including human trafficking operations. The implementation of our machine-learning system facilitates early detection, enabling law enforcement to intervene before these risks escalate to critical levels.
Cannabis Factory Finder provides UK police forces with an empirically validated tool for addressing illegal cannabis cultivation through an innovative technological approach. By combining readily available infrared satellite imagery with sophisticated artificial intelligence analysis, our research demonstrates a cost-effective methodology for identifying potential growing operations. This evidence-based approach enables law enforcement agencies to adopt a more proactive stance in protecting communities from the various socioeconomic harms associated with illegal cannabis factories.
We are proud to partner with police forces across the United Kingdom. To discuss how we can best meet your illegal cannabis cultivation intelligence needs, please contact our Ops team for a demonstration.