
Field Data with Remote Sensing
Access multi-spectral satellite imagery and spatial data to analyze land cover, measure vegetation health and monitor environmental changes over time.


Access multi-spectral satellite imagery and spatial data to analyze land cover, measure vegetation health and monitor environmental changes over time.

Access historical weather data and real-time forecasts to support operational planning such as planting and harvest windows.

Deploy computer vision to count livestock, detect pests and classify plant health using imagery from drones, satellites and IoT devices.

Quantify field variability to reveal hidden trends driving crop yield.

Train custom classifiers and predictors on your own agricultural datasets using automated machine learning pipelines to drive data-backed decisions.

Enrich your analysis with built-in computable data for thousands of plant species, soil types and geological entities.

Model mechanical and operational systems to quantify relationships between inputs and yield, determine treatment efficacy and create digital twins.

Ingest live data from sensors and control hardware using direct connectivity for a wide range of embedded devices.

Investigate genotype-phenotype relationships by integrating sequence analysis and biological simulation to accelerate trait research.
Unlock full-speed computing, advanced features and hardware integration—ideal for intensive use.
No install, no wait. Launch notebooks in seconds and work from anywhere.

We deliver solutions for the AI era—combining symbolic computation, data-driven insights and deep technical expertise.