Space Platform
What technology stack enables permissionless space infrastructure?
The same ABCD stack that powers terrestrial DePIN applies to space — but each layer faces unique constraints from physics, regulation, and capital requirements.
The ABCD Stack in Space
| Layer | Function | Space Application | Status |
|---|---|---|---|
| A - AI | Pattern recognition | Orbital optimization, EO analysis, debris prediction | 🟢 Active |
| B - Blockchain | Immutable record | Spectrum rights, data provenance, collision records | 🟡 Emerging |
| C - Crypto | Aligned incentives | Tokenized capacity, data markets, ground station rewards | 🔴 Nascent |
| D - DePIN | Physical layer | Satellites, ground stations, launch infrastructure | 🟡 Centralized |
Layer D: Physical Infrastructure
Launch Infrastructure
| Component | Players | DePIN Potential |
|---|---|---|
| Launch vehicles | SpaceX, Rocket Lab, RFA | Low (capital intensive) |
| Launch sites | Cape Canaveral, Mahia, Wallops | Low (regulatory) |
| Payload integration | Each provider | Medium (standardization) |
Space Segment
| Component | Players | DePIN Potential |
|---|---|---|
| Satellites | Starlink, OneWeb, Planet | Medium (tokenization) |
| Inter-satellite links | Starlink laser mesh | Low (proprietary) |
| Orbital slots | ITU coordination | Low (regulatory) |
Ground Segment
| Component | Players | DePIN Potential |
|---|---|---|
| Ground stations | AWS, KSAT, Atlas | HIGH (permissionless) |
| User terminals | Starlink Dishy, others | Medium (subsidy model) |
| Backhaul | Fiber, cellular | Existing DePIN (Helium) |
Best entry point: Ground stations. Unlike launch vehicles or satellites, ground antennas can be deployed permissionlessly in most jurisdictions.
Rocket Lab's Platform Stack
From the data architecture:
Components (solar cells, star trackers, reaction wheels)
↓
Spacecraft Platforms (Photon, Pioneer, Lightning)
↓
Launch Services (Electron, HASTE, Neutron)
↓
Mission Operations (ground control, telemetry)
↓
Data Products (EO, positioning, comms)
The vertical integration thesis: Own the stack → own the data → own the predictions → own the customer relationship.
Layer A: AI in Space
Current Applications
| Application | What AI Does | Maturity |
|---|---|---|
| Orbital optimization | Route planning, fuel efficiency | 🟢 Production |
| Debris prediction | Conjunction analysis | 🟢 Production |
| EO analysis | Object detection, change monitoring | 🟢 Production |
| Autonomous operations | Satellite decision-making | 🟡 Emerging |
| Ground scheduling | Pass optimization | 🟢 Production |
Edge AI in Orbit
Emerging capability: AI inference on satellites themselves.
| Benefit | Example |
|---|---|
| Reduced downlink | Process images onboard, send only results |
| Faster response | Real-time detection without ground round-trip |
| Autonomous tasking | Satellite decides what to image next |
AI + Space Data Flywheel
More satellites → More data → Better AI models
↑ ↓
Value ←←←←←←← Better products
The data moat: Companies with the most satellite data (Planet, Maxar, Starlink) have the best training sets for space AI.
Layer B: Blockchain for Space
Current Use Cases
| Use Case | What Blockchain Provides | Status |
|---|---|---|
| Data provenance | Cryptographic proof of capture time/location | 🟡 Pilots |
| Spectrum rights | Immutable allocation records | 🔴 Concept |
| Collision records | Auditable conjunction history |