SeeTrue is an AI-based platform that employs machine learning algorithms to analyze security screening data in real-time, enhancing the accuracy of threat detection. The system improves security operations by identifying potential threats more efficiently than traditional screening methods.
Funding
$17M 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
Traditional security screening methods using X-ray and CT systems often require extensive manual review, leading to bottlenecks, reduced throughput, and potential for human error in threat detection. This can compromise security and create delays for passengers and cargo.
Solution
SeeTrue offers an AI-powered automatic threat detection software solution that integrates with existing X-ray and CT security screening systems. By applying machine learning algorithms to analyze screening data in real-time, SeeTrue enhances the accuracy and efficiency of threat detection. The platform automates the identification of prohibited items, reduces manual procedures, increases screening throughput, and maximizes safety across various industries. The AI platform provides detection, analytics, and an open architecture for quick introduction of new threats.
Target Audience
The primary customers are organizations responsible for security screening in airports, public transportation networks, government buildings, customs facilities, and ports, seeking to improve threat detection accuracy and efficiency.
Features
- AI-powered automatic threat detection for X-ray and CT systems
- Real-time analysis of security screening data
- Optimized for high detection rates and low reject rates
- Integrates with existing security infrastructure
- Open architecture allows for quick introduction of new threat signatures
- Solutions for aviation, urban security, customs and parcels, and ports and borders
- Provides analytics and reporting on screening performance