Enloq provides an AI Surveillance System that utilizes real-time video analytics to detect suspicious behavior and generate automated incident reports for retailers. This technology helps reduce theft-related shrinkage by up to 70% while ensuring customer privacy through secure data processing.
Funding
$25K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Retailers face significant losses due to theft and shrinkage, impacting profitability and requiring increased security measures. Existing surveillance systems often lack real-time analysis capabilities, leading to delayed responses and incomplete incident reporting. Traditional methods struggle to efficiently identify and prevent theft while maintaining customer privacy.
Solution
Enloq offers an AI-powered surveillance system that analyzes real-time video feeds to detect suspicious behavior and generate automated incident reports for retailers. The system integrates with existing surveillance cameras, minimizing hardware installation costs. By focusing on behavioral patterns rather than personal identities, Enloq's technology helps reduce theft-related shrinkage while ensuring customer privacy through secure data processing. The platform provides instant alerts and detailed weekly reports, enabling retailers to proactively address security threats and optimize loss prevention strategies.
Target Audience
Enloq's primary customers are retailers seeking to reduce theft and shrinkage, improve security, and optimize loss prevention strategies.
Features
- Real-time video analytics for detecting suspicious behavior
- Automated incident report generation with actionable insights
- Integration with existing surveillance camera infrastructure
- Instant alerts for immediate notification of potential theft incidents
- Secure data processing to ensure customer privacy
- AI Agents customized to specific anti-theft needs and requirements
- Weekly reports detailing theft incidents and trends