SCSpaceCompute Cloud

Spacecompute Cloud

A distinct Spacecompute Cloud experience

Demo-labeled outputs · founder approval before publish

Product preview

Operating view

Sample · not live data

Module

Mission Plan

Draft insight · approval required

Module

Sensor Feed

Draft insight · approval required

Module

Motion Core

Draft insight · approval required

Module

Fault Line

Draft insight · approval required

Module

Deploy Slot

Draft insight · approval required

Module

Telemetry

Draft insight · approval required

Expert council review

What SpaceCompute Cloud does well and what we are improving next

This section reflects a multi-lens product review: clarity, trust, conversion, and real-user usefulness. Demo outputs are labeled; confirm facts before acting on quotes, metrics, or advice.

Strengths

  • 10-second KISS hero explains the product at the top
  • Production build passes in portfolio matrix
  • Focused positioning: Space-grade cloud compute for missions, simulation, and payloads.

Improving next

  • Complete one labeled demo path end-to-end
  • Validate pricing with 5 target buyers
  • Add support hub with FAQ and contact
  • Run 5 user comprehension tests on the homepage

Watch carefully

  • Do not claim revenue, customers, or funding without proof in repo
  • Demo data must stay labeled on all outputs
  • Keep claims aligned with what the demo actually does

Who this is for

  • Founders
  • Operators
  • Small teams
  • Technical builders

TrillionX expansion OS

SpaceCompute Cloud: ship now, build next, stay honest

Preview workspace modules — memory, agents, launch kit. Private drafts until you approve. Demo labels on sample outputs. Nothing public without you.

Clarity

70

Verify with 5 user tests

Launch readiness

62

Demo present

Trust

64

Expand /trust beyond stub

Try demoTrustDocs

Spacecompute Cloud command

Spacecompute Cloud

Stage

MVP

Proof

Local

Mode

Demo

1

Capture

Inputs from your workflow

2

Analyze

Structured pass, labeled

3

Decide

Clear next action

4

Export

Shareable outcome

Sample workflow · DEMO

Spacecompute Cloud command

Early MVP · demo data

Stage

MVP

Proof

Local

Mode

Demo

1Capture — Inputs from your workflow
2Analyze — Structured pass, labeled
3Decide — Clear next action
4Export — Shareable outcome

Sample workspace — demo data for walkthrough only.

Spacecompute Cloud command

Spacecompute Cloud

Stage

MVP

Proof

Local

Mode

Demo

1

Capture

Inputs from your workflow

2

Analyze

Structured pass, labeled

3

Decide

Clear next action

4

Export

Shareable outcome

Sample workflow · DEMO

Orbital cloud console

Run AI workloads before the data reaches Earth.

SpaceCompute Cloud gives satellite teams an orbital edge layer for inference, compression, anomaly detection, and downlink-aware mission workflows.

Plan an orbital workloadView compute console

Not every byte should come back to Earth—process, compress, and act in orbit.

constellation · workloadsLIVE SIM
ODCMPRTANODLBUSobject detect · compress · anomaly · route · downlink priority

The downlink bottleneck

Not every byte should come back to Earth.

SpaceCompute Cloud helps satellites decide, process, compress, and act in orbit—before spectrum becomes the bottleneck.

Sensors outpace the link

Satellites collect more data than they can send—raw archive stacks while operators wait on passes.

Latency erodes mission value

Ground eyes see minutes late. Wildfires, vessels, and debris need decisions while the beam is still warm.

Ground processing is too slow

Terrestrial queues are great for training—not for the seconds-class loop your payload actually needs.

Bandwidth is expensive

Every extra gigabyte is fuel, power, and spectrum you cannot buy back after launch.

Operators need onboard prioritization

Deploy inference to the satellite, send back only the frames that matter.

Product preview

Planner, savings, schedule, nodes—one surface.

Default mission profile (2 TB/day adjacent load) already shows 79% modeled downlink reduction.

Open interactive planner →

Downlink savings

79%

~1.6 TB/day filtered at the edge vs raw ingest.

Spacecompute Cloud command

Spacecompute Cloud

Stage

MVP

Proof

Local

Mode

Demo

1

Capture

Inputs from your workflow

2

Analyze

Structured pass, labeled

3

Decide

Clear next action

4

Export

Shareable outcome

Sample workflow · DEMO

Spacecompute Cloud command

Early MVP · demo data

Stage

MVP

Proof

Local

Mode

Demo

1Capture — Inputs from your workflow
2Analyze — Structured pass, labeled
3Decide — Clear next action
4Export — Shareable outcome

Sample workspace — demo data for walkthrough only.

Orbital nodes

8

active in this console snapshot

How it works

From workload definition to prioritized downlink.

  1. 01

    Define workload

    Bus class, sensors, models, and link budget in one orbital profile.

  2. 02

    Deploy model

    Signed bundles, canary windows, and mirrored ground twins for parity.

  3. 03

    Process in orbit

    Edge runtimes execute on sunlit capture, eclipse batch, or hybrid cadence.

  4. 04

    Prioritize data

    Policy router ranks anomalies, cues, and calibration ladders automatically.

  5. 05

    Downlink what matters

    Savings meter tracks egress vs raw—finance and ops read the same graph.

Workload types

Built for missions that cannot wait for Earth.

Earth observation

Score cloud cover, crop stress, and burn scars in orbit—downlink only tiles that clear your confidence bar.

Maritime tracking

Fuse AIS + EO on the bus, keep tracks hot between passes, and ship back vector updates instead of raw swaths.

Wildfire detection

Filter wildfire imagery on the satellite before bandwidth decides what your team gets to see.

Defense sensing

Tier targets by policy, strip metadata at the edge, and reserve narrow beams for highest-classification cues.

Space station robotics

Run proximity models with millisecond-class loops while ground stays supervisory, not in the hot path.

Anomaly detection

Stream health metrics through lightweight heads; escalate only sequences that breach learned baselines.

Dashboard preview

Orbital compute console at a glance.

Downlink reduction

64%

Daily data filtered

1.8 TB

Inference jobs

12,480

Avg onboard latency

310 ms

Active nodes

8

Cost avoided

$42k/mo

Enter console →

Why now

More satellites. More models. Less patience for slow links.

Cheaper edge compute on orbit, denser constellations, and AI-native payloads mean the winning missions process where the photons land—not where the fiber starts.

Pricing

Usage-based orbital compute.

Developer Simulation

$0

sandbox orbit hours

  • • Constellation graph replay
  • • Planner + dry-run deploys
  • • Community telemetry fixtures
Talk to mission integration →

Mission Ops

$420

/ month + metered edge

  • • Live downlink budgeting
  • • Model promotion gates
  • • Email + shared on-call
Talk to mission integration →

Constellation

$4.8k

/ month + fleet discounts

  • • Cross-plane scheduling
  • • Policy bundles per bus class
  • • Priority routing SLAs
Talk to mission integration →

Strategic Partner

Custom

dedicated control region

  • • Private peering to ground
  • • Compliance attestations
  • • Embedded reliability engineers
Talk to mission integration →

Full pricing page

FAQ

Answers for flight software and cloud teams.

Is this replacing my ground segment?
No—SpaceCompute Cloud sits between your mission apps and downlink policy. Ground stays authoritative for training, regression, and archive; orbit handles the latency-sensitive slice.
How do you estimate downlink savings?
We model raw sensor throughput, your declared link budget, and the compression + gating characteristics of the selected model family. Numbers are directional until we ingest your ephemeris files.
What does deployment look like?
Packaged runtimes with quantized weights, signed policy bundles, and health beacons that mirror what you already ship to test flats—just scheduled against orbital windows instead of CI boxes.
Do you need live telemetry to start?
You can begin entirely in simulation. When you connect bus telemetry, we tighten latency and utilization estimates automatically.

Ready to plan your orbital edge layer?

Simulate workloads, see downlink savings, and mirror deployments to your mission console—no paid APIs, no mock hyperscaler chrome.

Plan an orbital workloadTalk to mission integration

Early MVP. Numbers and outputs on this site use sample data unless labeled otherwise.