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SpaceKnow

Guardian consolidates multi‑source satellite imagery into a unified data lake and applies deep‑learning models for automated object detection and pixel‑level change detection. The platform delivers near‑real‑time alerts and trend analytics through a secure dashboard and APIs that integrate with GIS, command‑and‑control, and ESG systems, enabling defense, construction, and environmental analysts to prioritize actions.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations that rely on satellite imagery often face fragmented data sources, manual image interpretation, and delayed insight delivery, which hampers rapid decision‑making in defense, construction, and environmental monitoring. The lack of automated, high‑resolution change detection makes it difficult to detect emerging threats, project delays, or ecological impacts in near real‑time.

Solution

SpaceKnow’s Guardian platform consolidates imagery from multiple satellite providers into a unified data lake and applies proprietary, deep‑learning AI models to extract actionable information automatically. The system continuously monitors selected geographic footprints, generating change‑detection alerts and trend analytics without human intervention. Results are delivered through a secure web dashboard and an extensible API, enabling integration with existing GIS, EDR, or ESG workflows. By providing standardized, near‑real‑time intelligence, Guardian helps users prioritize response actions, optimize resource allocation, and maintain situational awareness across large, dynamic environments.

Target Audience

Primary customers include defense and intelligence agencies, construction and real‑estate project managers, and environmental, ESG, and economic analysts who need automated, high‑frequency satellite‑derived intelligence for operational decision‑making.

Features

  • Multi‑source satellite data ingestion pipeline supporting commercial and government constellations for global coverage and redundancy
  • Proprietary convolutional and transformer‑based AI models for object detection (infrastructure, aircraft, vessels) and pixel‑level change detection
  • Automated monitoring engine that triggers configurable early‑warning alerts based on predefined thresholds and temporal patterns
  • Scalable cloud analytics stack with batch and streaming processing, delivering daily or sub‑daily insight updates
  • RESTful and GraphQL APIs with GeoJSON output for seamless integration into GIS, command‑and‑control, and ESG reporting platforms
  • Role‑based access control and end‑to‑end encryption to meet defense‑grade security and compliance requirements
  • Customizable dashboards featuring heat‑maps, time‑series charts, and exportable reports for stakeholder communication
This profile is AI-generated and may contain inaccuracies.