Skip to main content
STELLAROrbital computing
STELLAR / solutions

Orbital infrastructure for data-intensive missions

STELLAR serves customers whose compute, storage, or security requirements are constrained by terrestrial infrastructure or by the cost of moving space-generated data back to Earth.
Space data
Use case
Compute + storage
Service
Verified handoff
Delivery
Orbital + cloud
Architecture
Solutions/ visual
Orbital data transmission to ground
Compute + storage + verified delivery
01 / customer segments

The earliest customers are where the data is born

The first market for orbital data centers is not abstract. It starts with satellites, sensors, research missions, and critical operators that already face data movement, security, and infrastructure constraints.

Segment 1

Satellite operators

Process imagery, telemetry, and sensor data before downlink so missions return more value with less bandwidth pressure.
Segment 2

AI infrastructure teams

Explore future orbital compute capacity as terrestrial power, cooling, land, and permitting constraints tighten.
Segment 3

Defense and sovereign customers

Use physically separated, jurisdiction-aware infrastructure for protected workflows, continuity, and secure storage.
Segment 4

Research missions

Run orbital compute experiments, autonomy workflows, science data reduction, and space-qualified AI validation.
Segment 5

Enterprise resilience

Add orbital backup, secure escrow, continuity, and out-of-region recovery patterns to critical systems.
02 / workflow

From orbital data to delivered product

The service model is simple at the surface: submit, schedule, process, store, downlink, and deliver with evidence. The complexity is hidden inside mission operations.

STELLAR / SOLUTIONS / SERVICE WORKFLOW

From orbital data to delivered product

Customer submission → orbital execution → verified delivery, with auditable evidence at every ownership handoff.

Run · STL-NODE-1 / R-2026-Q2
INCustomer inputs · what the workflow consumes
Tasking files
AOI · timing · priority · constraints
Model artifacts
weights · containers · schema · checksums
Policy + SLA
data class · region · retention · audit
Identity + keys
mTLS · signing keys · scopes · rotation
PLService pipeline · 6 stages
Customer → ops → orbit → ops → customer
Stage 01
SUBSubmit
Customer
API ingress · mTLS · schema + policy validation
Artifact signed receipt · request UUID
01 / 6
Stage 02
SCHSchedule
STELLAR ops
contact window · priority queue · payload envelope
Artifact execution slot · plan hash
02 / 6
Stage 03
EXEExecute
Orbital node
XQRVC1902 inference · GR740 supervision · checkpoints
Artifact result tensor · run log
03 / 6
Stage 04
STRPersist + rank
Orbital node
ECC cache · RAID-1 mission store · priority queue
Artifact object hash · ranked manifest
04 / 6
Stage 05
DLKDownlink
STELLAR ops
X-band scheduled pass · integrity check · receipt
Artifact pass log · SHA-256 chain
05 / 6
Stage 06
DLVDeliver
Customer
customer cloud handoff · audit replay · close-out
Artifact delivery signature · final report
06 / 6
Customer
STELLAR ops
Orbital node
Orbital node
STELLAR ops
Customer
Sequence
010203040506
EVEvidence chain · what every stage commits to the audit trail
Anchor 01
Receipt
request UUID + policy hash
Anchor 02
Schedule
window + priority + plan hash
Anchor 03
Run log
inputs · checkpoints · timings
Anchor 04
Object hash
SHA-256 of stored result
Anchor 05
Pass log
pass ID + integrity check
Anchor 06
Signature
delivery proof + audit replay
Customer scopeSTELLAR operationsOrbital node executionAudit / evidence path
Service-level targets — what the customer can hold us to
Round-trip
≤ next contact window
submission → delivery
Integrity
SHA-256 chain
end-to-end provenance
Availability
≥ 99.5% per quarter
service-level target
Result freshness
≤ orbit-1
compute-near-source latency

Bring the right workload to orbit

STELLAR is looking for mission customers and partners whose workflows can help define the first useful orbital data-center services.