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Orbital Sentry

Orbital Sentry provides a continuous geostationary infrared imaging feed that streams live Earth observation data for real‑time wildfire detection and tracking across the western United States. The service identifies ignitions within seconds, updates fire perimeters minute‑by‑minute, and delivers low‑latency data via API for integration into emergency response, utility, insurance, and defense workflows.

Founded 20252300+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Wildfire detection currently relies on intermittent satellite snapshots, ground sensors, and manual reporting, which can delay awareness of ignitions and limit real‑time tracking of fire spread. This latency hampers the ability of responders and stakeholders to make timely decisions that mitigate damage and protect communities.

Solution

Orbital Sentry offers a continuous, geostationary infrared imaging feed—Fire Sentry—that streams live Earth observation data for the western United States. The system detects fire ignitions within seconds, updates fire perimeters minute‑by‑minute, and generates near‑real‑time expansion forecasts. Data are delivered as a persistent, low‑latency stream that can be integrated directly into operational workflows, analytics platforms, or decision‑support systems. By providing an always‑on view of thermal activity, the service enables rapid triage, ongoing monitoring, and post‑event playback for model validation and mitigation assessment.

Target Audience

Primary customers include fire agencies, emergency responders, utilities, insurance firms, and defense or intelligence organizations that require immediate, actionable wildfire intelligence.

Features

  • Geostationary satellite platform delivering uninterrupted infrared coverage of the target region
  • Automated ignition detection within seconds of fire start using high‑cadence thermal imaging
  • Continuous perimeter mapping and real‑time expansion trajectory prediction
  • Low‑latency data stream accessible via API for integration with GIS, emergency management, and analytics tools
  • Historical playback capability for event reconstruction and model validation
  • Scalable architecture designed to extend to additional sensors (optical smoke monitoring, thermal signatures of industrial sites) and use cases (defense, utilities, insurance)
This profile is AI-generated and may contain inaccuracies.