Skip to main content
P

Pergestech

Pergestech delivers machine‑learning and AI solutions that process diverse sensor data—such as day/thermal cameras, radar, sonar, seismic and acoustic inputs—for homeland security and defense applications. Their platform extracts actionable information through capabilities like small‑target detection, tracking, classification, and day‑thermal video fusion, enabling more accurate threat identification and situational awareness.

Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Homeland security and defense operations rely on diverse sensor streams—such as visual, thermal, radar, sonar, seismic, and acoustic data—to detect and track potential threats. Integrating these heterogeneous inputs into a coherent, actionable picture is technically complex and often results in delayed or inaccurate threat identification.

Solution

Pergestech offers a machine‑learning platform that ingests any combination of day, thermal, radar, sonar, seismic, and acoustic sensor feeds and extracts high‑precision target information. The system applies advanced detection, tracking, classification, and identification algorithms to each modality and then fuses the results into unified object tracks. Integrated video fusion combines day and thermal imagery for consistent object recognition across lighting conditions, while Geo AI modules enable autonomous navigation and geospatial awareness for mobile platforms. Processed data are delivered in real time to defense and security systems, supporting rapid decision‑making and coordinated response.

Target Audience

Primary customers are homeland security agencies, military defense units, and contractors that operate sensor‑rich surveillance and reconnaissance platforms.

Features

  • Multi‑modal processing pipeline supporting day/thermal cameras, radar, sonar, seismic and acoustic inputs
  • Small‑target detection, continuous tracking, and classification using state‑of‑the‑art deep‑learning models
  • Day and thermal video fusion that produces joint object tracks and consistent classification across lighting environments
  • Geo AI capabilities for self‑sufficient navigation and geospatial situational awareness
  • Real‑time output interfaces for integration with existing defense and security command systems
This profile is AI-generated and may contain inaccuracies.