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Setanta Space

Setanta Space provides AI-driven autonomy platforms that combine modular hardware and edge‑AI software to give satellites real‑time telemetry monitoring, predictive anomaly detection, and on‑board decision making.

Dublin, IrelandFounded 20254700+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Spacecraft operators face limited onboard autonomy, requiring constant ground control for telemetry analysis, maneuver planning, and collision avoidance, which increases latency, operational costs, and risk of mission failure.

Solution

Setanta Space delivers integrated AI-driven autonomy platforms that combine hardware and software to enable real-time telemetry monitoring, predictive anomaly detection, and on‑board decision making. Their modular onboard computer, Danu, provides the processing power and flexible architecture needed for edge AI workloads across CubeSat to larger satellite missions. The Ora sandbox allows developers to benchmark and deploy AI models on a variety of computing architectures, streamlining the transition from ground‑based testing to flight. By fusing space situational awareness data with autonomous navigation algorithms, the system can execute precise maneuvers and collision‑avoidance actions without ground intervention. Additionally, Setanta’s Earth Observation pipeline converts raw sensor data into actionable insights for sectors such as agriculture, infrastructure, climate monitoring, and maritime tracking.

Target Audience

Primary customers are satellite manufacturers, mission operators, and government or commercial space agencies that require autonomous on‑board capabilities for small to medium‑class spacecraft.

Features

  • Danu modular onboard computer supporting AI workloads, mass memory, and customizable I/O for diverse satellite platforms
  • Ora edge‑AI sandbox offering a catalog of processor and accelerator configurations through a unified interface for rapid model benchmarking
  • Real‑time telemetry monitoring with machine‑learning‑based anomaly detection and prognostic health management to enable predictive maintenance
  • Integrated space situational awareness and autonomous navigation stack that identifies, tracks, and assesses orbital objects to generate safe maneuver commands onboard
  • End‑to‑end Earth Observation processing that transforms raw imagery into sector‑specific analytics for agriculture, infrastructure, climate, and maritime applications
  • Hardware‑software co‑design ensuring low power consumption, radiation tolerance, and seamless integration with existing spacecraft bus architectures
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