Earth Observation Analytics
High-resolution satellite data analytics detects environmental changes in real time. Monitor water resources, track vegetation health, and assess infrastructure risks.
Explore Earth observation →Real-time intelligence from space and below.
AI-powered analytics for earth observation and subsurface imaging
Currently in stealth mode.
Book a discovery callCore capabilities
Insights that turn raw signals into strategy.
SpaceSeis delivers three core services—Earth observation analytics, real-time subsurface intelligence, and AI-powered insights.
Subsurface Analytics
Real-time seismic processing and interpretation. Our flagship product—SpaceSeis Edge—delivers real-time subsurface imagery to shore. No more waiting weeks to assess data quality.
See SpaceSeis Edge →
AI & Data Science
Machine learning uncovers hidden patterns in satellite and sensor data, delivering predictions and insights with accuracy beyond traditional methods.
Review the ML playbook →The SpaceSeis edge intelligence platform.
Built for unmanned surface vehicles and subsea robots, our edge device delivers seismic quality control, stacking, and migration in real time—while data is still being acquired offshore. No more waiting. No more uncertainty.
Onboard processing
- Processes raw seismic data directly from DAS and seismic sensors.
- Automated stacking and migration validated offshore.
- Compression + encryption optimized for low-bandwidth uplinks.
Real-time assurance
- Quality metrics highlight noise, coupling, and coverage gaps.
- Edge-to-shore dashboards trigger re-programming decisions in minutes.
- Integrates with wind, CCUS, and offshore windfarm survey workflows.
Autonomous-ready AI
- Horizon tracking and thickness mapping while the vessel sails.
- Model library tuned for renewables, groundwater, and energy storage.
- Extensible to high-frequency bathymetry and EM data.
Proof through projects
Featured case studies.
Each service debuts with a vivid demonstration that blends scientific rigor, AI, and actionable decision support.
Satellite-based drought monitoring prevents crop loss
We combined Sentinel-2 satellite imagery with local water and weather data to identify villages facing drought stress—enabling targeted irrigation that prevented 18% crop loss.
Real-time seismic processing for offshore wind
Our edge device, mounted on an unmanned vessel, processed seismic data in real time and streamed quality-controlled sections to shore—enabling survey adjustments on the fly and saving weeks of waiting.
Automated seismic interpretation with machine learning
Our transformer model, trained on decades of labeled geophysics data, delivers anomaly detection, risk scoring, and portfolio analysis overnight—work that would take human interpreters weeks or months.