Technology / The proposed platform

Solar power.
AI compute.
One orbital platform.

The goal is straightforward: turn solar electricity in orbit into useful AI inference. Delivering it requires the whole system to work together.

Concept illustration of an orbital compute module with solar arrays and a radiator above Earth
Illustrative concept. Final architecture is under development. AI-generated image.

01System architecture

Four systems.
One engineering problem.

Generate power

Solar arrays supply electricity. Storage and power management support the selected orbit and workload.

Run AI models

Compute hardware runs trained models within a defined power, memory and temperature budget.

Reject heat

A thermal system carries heat from the electronics to radiators that release it into space.

Connect to Earth

Ground links carry models, inputs, results and operating data, with security built into the design.

02Inference first

A focused
first workload.

Inference means running an already trained AI model. We plan to start with a selected batch job whose data and timing requirements fit the platform.

01

Upload

Transfer the model and its inputs when a ground connection is available.

02

Compute

Run the job within the platform’s power, temperature and memory limits.

03

Return

Send results back to Earth and measure performance, power use and reliability.

The first flight would be a research experiment. Customer workloads would follow technical and commercial validation.

03What needs to be proven

The engineering
defines the economics.

Space changes the constraints. The development program must show that useful compute can be delivered reliably at a competitive total cost.

01

Heat

Size and test the cooling loop and radiators under realistic heat loads and space conditions.

02

Power

Balance solar generation, storage, eclipses and the energy needed for useful compute.

03

Mass and deployment

Fit the compute, power and cooling hardware within launch limits and deploy it reliably.

04

Radiation and reliability

Evaluate shielding, error recovery, safe shutdown and the impact of component failures.

05

Communications and security

Measure data transfer limits and latency. Protect model weights, customer data and operations.

06

Full lifetime cost

Include hardware, launch, ground systems, operations, replacement and disposal in the comparison.

04Common questions

A clear view
of the challenge.

From architecture to evidence

Start small.
Measure what matters.

Our proposed development plan moves from requirements and a ground prototype to a qualified first flight experiment.

Explore the roadmap