AI & Sensing Platform
Comprehensive multi-source sensing capabilities integrated with advanced AI and physics-based modeling for persistent, all-weather monitoring across the globe.
24/7
Monitoring
Global
Coverage
Multi
Sensor
AI
Powered
Multi-Domain Sensor Network
Space, airborne, and terrestrial sensing platforms providing comprehensive Earth observation coverage
Space & Airborne
LEO/GEO/MEO Satellites
Multi-orbit coverage
Learjet Platform
Ultra-high resolution imaging
HALE UAVs
Persistent surveillance
Imaging
Multispectral
EDC partnership
Hyperspectral
Esper integration
Thermal IR
Constellr capability
SAR
All-weather active sensing
Signal Intelligence
RF Sensing
Ulook, Horizon360
SIGINT
Hawkeye integration
Ionospheric
Precursor for SW/Defense
Weather & Surface
Atmospheric
Spire, Weatherstream
Terrestrial
MESONET networks
EVS Cameras
Ground-based monitoring
GRID & Infrastructure
GRID2020 Sensors
Transmission line monitoring
ATI Sensors
Vegetation encroachment detection
Clarity Network
Air quality and emissions
Terrestrial Sensing
GPR Systems
Ground-penetrating radar
LIDAR
Vegetation height mapping
Seismic Arrays
Ground motion detection
Intelligence Layer
Advanced machine learning and physics-based models for pattern recognition, prediction, and decision support
Physics + AI Models
State-of-the-art augmented physics models combining domain expertise with machine learning for enhanced prediction accuracy
Geo AI
Geospatial artificial intelligence for pattern recognition, anomaly detection, and change monitoring across vast areas
Foundational Models
Large-scale pre-trained models adapted for Earth observation applications with transfer learning capabilities
Object Detection & Tracking
Multi-target tracking algorithms for surveillance, maritime monitoring, and infrastructure assessment
Sensor Scheduling
Automated tasking and collection planning across satellite constellations for optimal coverage and revisit rates
Edge Computing
On-board processing and real-time analytics at the sensor level for reduced latency and bandwidth optimization
Data Fusion & DSSC
Unified intelligence platform integrating multi-source data streams with the Defense Satellite Services Center
All-Source Data Fusion
Fusion capabilities integrating IMINT, SIGINT, GEOINT, and HUMINT for comprehensive situational awareness and decision support.
Data Partners
GEO Intelligence Capabilities
SatShot
Satellite imagery analytics platform
DSSC
Defense satellite services center
Edge Computing
On-board processing capabilities with CubeSat constellation
Sensor Fusion at Scale
Earth Observation provides spatial coverage, in-situ sensors deliver ground truth, and process models offer causal intelligence. Individually incomplete, together they form a continuous, multi-resolution, validated signal powering digital twins and operational analytics.
Earth Observation
Spatial continuity across large regions
- Optical sensors for vegetation indices and phenology
- SAR for soil moisture and all-weather sensing
- Thermal IR for water stress and heat anomalies
In-Situ Sensors
Ground truth with precision and depth
- Soil moisture probes and weather stations
- Water-level sensors and runoff gauges
- Microclimate pods and canopy temperature
Process Models
Causal explanations and predictions
- Agronomy: DSSAT, WOFOST, AquaCrop
- Hydrology: HEC-RAS, SWAT, VIC
- Carbon & Soil: RothC, CENTURY, DNDC
Fusion Pipeline
Bayesian fusion, ensemble models, Kalman filtering, and deep learning produce stable, noise-free, validated signals
Agriculture
Water Resources
Urban Systems
Climate MRV
Fusion-powered Digital Twins integrate EO streams, IoT data, weather grids, and process models with calibration loops and uncertainty quantification, transforming scattered signals into unified operational intelligence.
Domain-Specific Intelligence
Purpose-built solutions for multi-hazard risk management, weather forecasting, precision agriculture, and land classification applications.
Multi-Hazard Risk Management
Full lifecycle characterization using satellite, airborne, and surface sensing
Wildfires
Full lifecycle characterization using satellite, airborne, and surface sensing with Physics/AI-ML models
- Pre-fire, active phase, and post-fire monitoring
- Physics and AI/ML models for proactive intervention
- Grid health monitoring with ATI sensors
- Public Safety Power Shutoff optimization
Floods
Real-time characterization and mapping in all weather conditions for infrastructure protection
- Real-time flood extent mapping using SAR
- Water flow forecasting
- Critical infrastructure impact assessment
- 40% of natural disasters are flood-related
Landslides
Satellite and in-situ sensing for landslide characterization and modeling
- Terrain stability assessment using InSAR
- Precipitation-triggered prediction
- Infrastructure vulnerability mapping
- Post-event damage assessment
Space Weather
Prediction of solar flares and geomagnetic activity with data granularity higher than NOAA
- Solar flare prediction and monitoring
- Geomagnetic storm impact assessment
- Spacecraft and satellite protection
- Power grid resilience planning
Weather and Climate Modeling
Advanced meteorological analytics for risk management and operational planning
Numerical Weather Prediction
High-resolution NWP models with satellite data assimilation for accurate forecasting
- Global and regional weather models
- Ensemble forecasting for uncertainty quantification
- Satellite data assimilation (GOES, Himawari, Meteosat)
- Sub-km resolution for local weather prediction
Hydrological Modeling
Water cycle analysis from precipitation to runoff for reservoir and hydropower optimization
- Rainfall and drought prediction
- Reservoir inflow forecasting
- Snow water equivalent estimation
- Water resource assessment for data centers
Extreme Weather Events
Monitoring and prediction of severe weather phenomena for early warning systems
- Hurricane and tropical storm tracking
- Severe thunderstorm and tornado prediction
- Ice storm and winter weather monitoring
- Grid impact assessment
Precision Agriculture
Data-driven insights for crop management, soil health, and forestry applications
Crop Health Monitoring
Multi-spectral and hyperspectral analysis for comprehensive crop health assessment
NDVI
Normalized vegetation index for photosynthetic activity
LAI
Leaf area index for canopy development
Chlorophyll
Chlorophyll content for nutrient status
Water Stress
Crop water stress index from thermal IR
Soil Health Analytics
Comprehensive soil analysis using satellite imagery and in-situ sensor fusion
Moisture
Soil water content from microwave sensing
Carbon
Soil organic carbon estimation
Nutrients
NPK and micronutrient mapping
Texture
Sand, silt, clay composition
Forest Density & Health
Forestry monitoring for sustainable management and carbon accounting
Canopy Cover
Tree cover percentage from optical imagery
Biomass
Above-ground biomass from SAR and LiDAR
Species
Tree species classification
Deforestation
Forest loss detection and alerting
Land Classification
AI-powered land use and land cover mapping for planning and policy
Agricultural Land
Comprehensive farmland mapping and monitoring for agricultural intelligence
Crop Type Classification
Automated identification of crop types using multi-temporal satellite imagery
Field Boundary Detection
Precise delineation of agricultural parcels using AI-powered edge detection
Fallow Land Identification
Detection of unused agricultural land for policy and planning
Irrigation Classification
Irrigated vs rainfed land classification from temporal patterns
Urban & Built Environment
Urban area monitoring for planning, infrastructure, and environmental assessment
Building Footprints
Automated extraction of building outlines from high-resolution imagery
Urban Sprawl Analysis
Temporal change detection for urban expansion monitoring
Impervious Surface
Mapping of paved and built surfaces for hydrological modeling
Infrastructure Mapping
Roads, bridges, and utility corridor identification
Comprehensive Land Intelligence
Our AI-powered classification models leverage multi-temporal satellite imagery, SAR data, and deep learning to achieve industry-leading accuracy across diverse landscapes.