TECHNOLOGY

Spatial Lambdas

Processing Trillions of Voxels in the Cloud

Massive volumetric datasets demand massive computing power. From mines to cities, every project generates billions, or even trillions, of data points.

Voxel Space's Spatial Lambdas make that scale manageable. They bring computation directly to the data, enabling you to process entire terrains, ore bodies, or infrastructure networks in minutes, not days.

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What Are Spatial Lambdas?

Spatial Lambdas are serverless cloud functions that run directly on your voxel data, no heavy downloads, no local processing limits. Instead of moving terabytes of data between systems, Spatial Lambdas execute near the data, allowing lightning-fast analysis, transformation, and automation.

Think of them as microprograms that you can deploy instantly to:

Calculate

volumes, tonnages, and grade distributions

Filter

voxels by density, porosity, or material type.

Generate

new derived datasets.

Apply AI

learning models across entire 3D grids.

How it Works

Bringing Intelligence Closer to the Data

Spatial Lambdas turn every voxel dataset into an active computing space. Every voxel becomes more than data, it becomes a live node of intelligence.

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Run models directly in the cloud avoiding costly data transfers.

Integrate AI inference pipelines to classify, segment, or predict voxel properties.

Automate repetitive workflows like ore/waste classification or deformation detection.

Trigger computations from IoT events to respond instantly to sensor updates.

Why it Matters

Traditional batch processing can't keep up with the modern data scale. It's the difference between waiting overnight for a model and making decisions before the next shift begins. Spatial Lambdas change that with:

Speed

Get results in minutes, not hours or days.

Scalability

Automatically adapt to data size, no manual scaling or setup.

Flexibility

Write your own lambdas in Python, .NET, or your preferred language.

Cloud Native

Run anywhere, accessible from any device, globally.

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Real-World Impact

Mining

Classify ore and waste automatically. Recalculate resource volumes on the fly. Update digital twins with every new blast or survey.

Urban Planning

Detect underground infrastructure conflicts. Compute change detection across time-series LiDAR.

Infrastructure

Run stress analysis on tunnels or pipelines. Identify zones of instability or high pressure in 3 dimensions.

Environment

Simulate groundwater flow or pollutant dispersion volumetrically. Monitor erosion and subsidence dynamically.

Compute Without Limits

Your data is growing. Your compute should grow with it. Spatial Lambdas bring the flexibility, power, and simplicity of serverless computing to the spatial world.

Book a Demo → See Volumetric Spatial Intelligence → See 4D Digital Twins →

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