The Opportunity
India's Space Sector Needs AI Infrastructure
Private Space Era
IN-SPACe opened private space. 100+ startups building satellites, launch vehicles, and space applications. They all need AI infrastructure.
Mission Complexity
Orbital mechanics. Conjunction analysis. Anomaly detection. Ground station scheduling. Space operations require specialized AI.
Data Explosion
Earth observation satellites generate terabytes daily. Turning imagery into actionable intelligence requires scalable AI processing.
Connectivity Constraints
Space is disconnected. Latency is variable. Bandwidth is limited. AI must work under unique connectivity constraints.
Capabilities
Three AI Domains
Complete AI infrastructure for space operations.
Mission Intelligence
Orbital mechanics AI. Trajectory optimization. Conjunction analysis. Anomaly detection. Ground station scheduling.
Earth Observation
Change detection. Multi-temporal analysis. Classification AI. Ground data fusion. Automated alerting.
Space Situational
Debris tracking. Collision avoidance. RF interference detection. Space weather impact. Conjunction alerts.
Mission Support
24/7 operations assistance. Telemetry analysis. Command validation. Contingency response. Performance optimization.
Edge-Cloud Architecture
Heavy compute in cloud. Lightweight models at edge. Store-and-forward. Bandwidth optimization. Latency tolerance.
Space Data Infrastructure
Orbit propagation. Coordinate systems. Time standards. Ephemeris management. Telemetry processing.
Live Demo
Space Intelligence Dashboard
Real-time satellite monitoring, earth observation, and space situational awareness.
Architecture
Space AI Stack
Applications
Antariksh Platform
Space Assets
Earth Observation
From Imagery to Intelligence
Capture
Satellite imagery, multi-spectral, SAR, thermal
Process
Orthorectification, atmospheric correction, fusion
Analyze
AI classification, change detection, object recognition
Deliver
Insights, alerts, dashboards, API access
Applications
What You Can Build
Agriculture Intelligence
Crop monitoring. Yield prediction. Irrigation optimization. Pest detection. Insurance verification.
Urban Monitoring
Construction tracking. Infrastructure changes. Encroachment detection. Urban sprawl analysis.
Disaster Response
Flood mapping. Fire detection. Damage assessment. Relief planning. Recovery monitoring.
Defense & Security
Surveillance. Reconnaissance. Activity monitoring. Change alerting. Border security.
Target Market
Space Ecosystem
| Segment | Examples |
|---|---|
| Satellite Operators | Pixxel, Dhruva Space, Digantara |
| Launch Providers | Skyroot, Agnikul |
| Ground Segment | InSpace, Kawa Space |
| Data Companies | SatSure, GalaxEye |
| ISRO Partners | Commercial ISRO missions |
RotaStellar Synergy
RotaStellar: Runtime for space software, on-board satellite computing.
Antariksh: AI intelligence layer, ground-based analytics. Together: complete space AI infrastructure.
Integration
Space Industry Standards
| Standard/Tool | Antariksh Support |
|---|---|
| CCSDS | Space data protocols |
| STK | AGI Systems Tool Kit |
| GMAT | NASA mission analysis |
| OpenMCT | Mission control integration |
| Orekit | Orbital mechanics library |
- Orbit Propagation: SGP4, high-precision
- Coordinate Systems: ECEF, ECI, geodetic
- Time Standards: UTC, TAI, GPS time
- Ephemeris: TLE, SP3, precise orbit
- Telemetry: Standard space packets
Deployment
Engagement Models
SaaS Platform
Multi-tenant cloud service for startups
Private Instance
Dedicated deployment for sensitive missions
On-Premise
For defense and classified applications
Research Partnership
Joint development with ISRO, academics
General Cloud AI
- No space domain knowledge
- Requires constant connectivity
- Standard data formats only
- No orbital mechanics
- Consumer latency assumptions
Antariksh
- Space-native AI infrastructure
- Edge-cloud for space connectivity
- CCSDS and space standards
- Built-in orbital mechanics
- Designed for space latency
India's space ecosystem needs
AI built for space.