ASTRO CORE | Orbital Computing Infrastructure

The Terrestrial Bottleneck

Why AI growth is stalling on the planet's surface.

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Energy Scarcity

Earth-based data centers fight for grid capacity. In orbit, we access uninterrupted, high-intensity solar power 24/7.

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Thermal Limits

Cooling costs millions and consumes water. Space offers a near-infinite heat sink via radiative cooling into the void.

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Launch Economics

Leveraging Starship-class reusable heavy lift vehicles to deploy massive compute clusters at a fraction of historical costs.

Orbital Stack

Hardware & Software engineered for the vacuum.

Radiation-Hardened Hardware

Proprietary shielding and redundant circuit architecture designed to withstand the South Atlantic Anomaly and cosmic rays without sacrificing FLOPs.

Space-OS

A latency-optimized, fault-tolerant operating system managing distributed orbital nodes as a single logical supercomputer.

Edge AI Modules

On-orbit inference engines. Process petabytes of sensor data in space, sending only actionable insights back to Earth.

Industry Solutions

Remote Sensing

Real-time image processing in orbit reducing downlink bandwidth costs by 90%.

Deep Space Exploration

Autonomous navigation and data analysis for missions beyond light-lag limitations.

Commercial Stations

Turnkey data center modules for private space stations (Orbital Reef, Axiom).

Defense & Security

Secure, sovereign compute nodes for national security assets.

Build on the Edge of Space

Direct access to orbital compute via our unified API. Simulate zero-g thermal conditions and radiation events in our sandbox before deployment.

➜ AstroCore SDK 2.0 (Python/Rust)
➜ Space Simulation Sandbox
➜ API Documentation

import astrocore as ac

# Initialize Orbital Connection
client = ac.Client(region='LEO-1')

# Deploy Inference Model
job = client.deploy(
  model='yolo-v8-space',
  input_stream='sat-feed-04',
  priority=ac.HIGH
)

print(f"Job Status: {job.status}")

> Job Status: ORBITAL_ALLOCATED

The Roadmap to Dyson Swarm

Phase 1: Deployment

CURRENT

Launching initial 100-unit constellation via rideshare missions. Proving Space-OS stability and radiative cooling efficiency.

Phase 2: Lunar Manufacturing

2028-2030

Transitioning to in-situ resource utilization. Manufacturing server racks on the Moon to bypass Earth's gravity well costs.

Phase 3: Dyson Architecture

2035+

Constructing a partial Dyson Swarm. Capturing 0.01% of solar output for pure computational power, enabling AGI training at scale.

Mission Control

Founded by ex-JPL engineers and datacenter architects who realized Earth is too small for the future of AI.

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View Team Profiles →

Compute Beyond Earth