Satellite Intelligence · Edge Sensing

Sensedge

Satellite awareness. Edge perception.

Sensedge combines satellite monitoring, local sensing and edge AI to turn environmental and operational signals into faster, clearer decisions.

The Challenge in Critical Environments

High-risk operations often operate in environments where visibility is fragmented, connectivity is limited, and the cost of delayed detection is severe. Whether the setting is marine, industrial, or infrastructure-heavy, critical events can escalate before teams see them coming.

Sensedge brings together satellite observation, local sensing, and on-site AI so organizations can monitor the physical environment from orbit and at the edge. It is designed to operate across sensors, hardware, local compute, and server-level systems, with custom deployments shaped to the environment.

No Cloud Dependency

Inference runs locally on NVIDIA Jetson hardware. The system operates fully in open ocean and low-connectivity environments.

Continuous, Automated Monitoring

Every camera feed is monitored by AI at all times. No gaps from crew fatigue, shift changes or distraction.

MARPOL-Aligned Audit Trail

Every detected event is logged with a video clip and timestamp, providing a non-repudiable record for compliance and insurance purposes.

How Sensedge Works

Satellite Layer

Remote Visibility

Sensedge can integrate satellite and Earth observation inputs to understand wider environmental conditions, regional change, and asset exposure before issues reach the site.

Edge Layer

Local AI Perception

At the point of action, Sensedge can deploy sensor, camera, and edge-compute workflows built for real-time detection, event classification, anomaly tracking, and local decision support.

Platform Integration

Operational Intelligence

The platform can be connected across sensors, edge hardware, local servers, or partner-managed environments to create a unified operational picture for teams on site and off site.

Action & Evidence

Decision Support

Alerts, event timelines, and digital evidence can be surfaced to operators, compliance teams, and management stakeholders to support response, auditability, and risk mitigation.

Deployment Models

Sensedge is not limited to a single hardware form. It can be configured across sensors, edge devices, local compute, and server-level environments to fit the operational context.

On-Site Intelligence

Edge Deployment

Local AI perception can be deployed where data is generated, supporting real-time detection in low-connectivity or remote environments. Marine operations are a key example, but the same pattern applies to industrial sites and critical infrastructure.

Sensors · Cameras · Edge Compute

System Integration

Server & Partner Ecosystem

Sensedge can be connected into larger operational systems, server infrastructures, and partner-managed deployment frameworks to support broader monitoring, compliance, and response workflows.

Global Partners · Custom Deployment

Events Sensedge Detects

Safety

  • Personnel risk events
  • Fire, smoke, and hazard indicators
  • Restricted-area activity
  • Unattended or unsafe conditions

Security

  • Unauthorized access
  • Perimeter breaches
  • Suspicious movement
  • After-hours activity

Operational

  • Equipment irregularities
  • Asset and cargo anomalies
  • Surface and deck hazards
  • Visible spill or leak indicators

Monitoring

  • Environment and site changes
  • Movement and activity patterns
  • Operational visibility gaps
  • Early warning signals