Adaptive Autonomy

• Adapts in orbit to changing conditions without ground retraining.

  
  

• Designed for long-duration, low-contact missions across diverse domains.

• Learns from onboard data to stay responsive in dynamic environments.

Self-Supervised Processing & Decision Making

• Performs onboard self-supervised processing to clean and organize raw data for efficient AI inference.
  
  

• Detects mission-relevant events and anomalies, triggering prioritized actions autonomously.
  
  

• Supports autonomous tasking and data triage in dynamic, communication-limited environments.

Optimized for Diverse Onboard Compute & Resource Environments

• Runs efficiently on constrained systems with limited RAM, GPU memory and energy budgets.
  
  

• Power & Energy aware and thermally conscious, with dynamic model scheduling to stay within platform-specific energy and thermal envelopes.
  
  

• Edge-optimized architecture to deliver real-time performance without overwhelming onboard resources.

Optimized AI Stack

• Versatile onboard intelligence from perception to prediction.
  
  

• Edge-Optimized & Resilient, built for constrained environments, with fault-tolerant fallbacks and support for self-supervised and federated learning.
  
  

• Radiation-Resilient & Mission-Aware, AI models that are built to withstand space radiation effects while dynamically adjusting inference priorities based on mission context, ensuring reliable and efficient performance in orbit.

Smart Data Prioritization and Compression

• Leverages multi-domain, time–frequency algorithms to identify patterns and signal relevance, enabling more accurate prioritization of dynamic, high-value content.
  
  

• Preserves critical scientific and strategic information through semantic-aware compression, maintaining high fidelity where it matters most.
  
  

• Supports near-real-time operations under tight bandwidth and power constraints, making it ideal for small satellites and multi-orbit constellations.

Built-in Fallbacks for Resilient Autonomy

• Failsafe model switching enables the system to fall back to lighter, lower-resolution models or rule-based logic if compute, memory, or thermal limits are exceeded.
  
  

• Task degradation and priority-based throttling ensure core functions continue even when main modules are disabled.
  
  

• Redundant execution paths and watchdog monitoring provide system-level resilience, preventing system crash, from halting operations.

Space is becoming more accessible than ever, but the how satellites operate hasn’t kept up. Traditional missions remain constrained by data bottlenecks, communication delays, ground-based processing & decision-making, limited computational support, strict energy budgets and not so smart satellites. As missions become more complex, the limitations of this model have become impossible to ignore.

We're pioneering the next generation of onboard artificial intelligence , shifting satellites from passive data collectors to active intelligent agents that can:

• Analyse, filter, and act on data in real time

• Adapt to unforeseen conditions without waiting for ground control

• Run advanced AI models

• Deliver mission-critical insights and alerts with minimal latency

This isn’t just about speed, it’s about autonomy, resilience, and relevance. Onboard computers in satellites face extreme limitations:

• Compute is limited - processors onboard must be compact, radiation-tolerant, and power-efficient.

• Energy and Power is precious - satellites operate under strict resource budgets, and every watt must be accounted for.

• Thermal management is tough - overheating risks mission failure.

• No margin for waste - unnecessary computation or unfiltered data is simply too expensive to sustain.

It is is designed from the ground up for minimal compute and energy edge environments. Our modules are optimized to run on constrained onboard systems while still delivering high-impact intelligence.

We believe that the future of AI in space lies in adaptability. Our systems focuses on to continuously improve, learning directly from the environment and performing reliably in dynamic, uncertain conditions.

And because every byte counts in orbit, our smart compression and data prioritization techniques ensure that only the most valuable insights are transmitted, preserving bandwidth and reducing costs.

The applications are vast, from monitoring natural disasters and climate systems to supporting defense and agriculture. But the core remains the same: onboard autonomy that delivers immediate, high-impact decisions from orbit.

At Orbitrik,

we set out with a bold vision: To empower satellites to THINK, ADAPT, and ACT enabling faster and smarter orbital decisions.

From satellites as passive observers and data-heavy, Earth-dependent systems to intelligent, autonomous and proactive agents in orbit.