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Scylla

Scylla provides a real-time physical threat detection solution utilizing AI and computer vision to identify firearms, unauthorized intrusions, and behavioral anomalies in surveillance footage. By filtering out up to 99% of false alarms, Scylla enhances security response efficiency and improves the accuracy of threat alerts for various environments.

Austin, United StatesFounded 20181127K+ followers
Updated 20 months ago

Funding

$5.7M 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.

MC
Funding rounds are not available yet.

Founders

Product

Problem

Traditional video surveillance systems often generate numerous false alarms, overwhelming security personnel and hindering their ability to respond effectively to genuine threats. This inefficiency can lead to delayed response times and increased security vulnerabilities.

Solution

Scylla provides an AI-powered video analytics platform designed for real-time physical threat detection. By analyzing surveillance footage, Scylla's system identifies firearms, unauthorized intrusions, and anomalous behaviors, while filtering out up to 99% of false alarms. This allows security teams to focus on verified threats, improving response times and overall security effectiveness. The platform integrates with existing VMS and camera systems, offering a comprehensive security solution for various environments.

Target Audience

Scylla targets security-conscious organizations, including government facilities, critical infrastructure, educational institutions, and commercial enterprises, seeking to enhance their threat detection and response capabilities.

Features

  • AI-powered gun detection system for real-time firearm identification
  • Perimeter intrusion detection with high accuracy and minimal false alarms
  • Object detection and tracking for comprehensive situational awareness
  • Anomaly detection and behavior recognition to identify suspicious activities
  • Face recognition with watchlist and auto-enrollment capabilities
  • False alarm filtering to reduce noise and improve alert accuracy
  • Smoke and fire detection for early warning and prevention
  • Access control using AI-powered biometrics
  • License plate recognition for vehicle tracking and management
  • Camera health monitoring to ensure system reliability
  • Integration with CCTV, UAV, and bodycam systems
This profile is AI-generated and may contain inaccuracies.