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Arcani Systems

Arcani Systems develops advanced acoustic detection technology that identifies and analyzes sound-based signals for security and monitoring applications. The platform uses proprietary audio processing algorithms to detect, classify, and locate acoustic events with high precision. This enables organizations to implement non-visual surveillance and monitoring in environments where traditional optical systems are ineffective.

London, United Kingdom · HQ
71K+ followers
Updated 4 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional security and monitoring systems rely heavily on visual surveillance, which fails in low-light conditions, obstructed environments, or when cameras cannot be physically installed. Acoustic events such as gunshots, breaking glass, or unauthorized machinery operation often go undetected, leaving critical security gaps in both public and private spaces.

Solution

Arcani Systems provides an advanced acoustic detection platform that captures and analyzes sound waves to identify specific events with high accuracy. The system employs sophisticated signal processing and machine learning algorithms to distinguish between benign ambient noise and actionable acoustic signatures. By deploying networked acoustic sensors, the platform can triangulate the source of sounds and provide real-time alerts to security personnel. The technology is designed to operate continuously in any environment, complementing or replacing traditional visual monitoring systems.

Target Audience

Primary customers are security system integrators, critical infrastructure operators, and government agencies requiring non-visual monitoring capabilities for perimeters, facilities, and public spaces.

Features

  • Proprietary acoustic fingerprinting technology that identifies specific sound signatures with high precision
  • Multi-sensor triangulation for accurate source localization and tracking of acoustic events
  • Real-time alerting system with configurable thresholds and event classification
  • Edge-computing architecture that processes audio data locally to minimize latency and bandwidth requirements
  • Integration APIs for connecting with existing security, building management, and IoT platforms
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