Technology

Engineering spatial rendering at scale

GPU-accelerated WebGL compute with real-time spatial indexing enables billions of points to stream, index, and render on any device. Explore the architecture that powers metacosm.ai's rendering pipeline.

Data pipeline overview

Ingest
Accept streaming point clouds, imagery, and sensor data from multiple sources. Normalize formats and validate spatial coordinates in real-time.
Index
Build multi-resolution octree structures with adaptive LOD. Spatial partitioning enables sub-100ms queries across petascale datasets.
Render
GPU-accelerated rasterization with custom shaders. 60fps sustained rendering across 2B+ points at full detail levels.
Analyze
Run classification, segmentation, and measurement compute in-GPU. Extract insights without moving data off the rendering pipeline.

Core technologies

WebGL Rendering

WebGL Rendering Engine

Custom WebGL 2.0 renderer with compute shaders for point cloud rasterization. Implements instanced rendering, deferred shading, and adaptive frame pacing. Optimized for both desktop and mobile, with fallbacks to 2D canvas on legacy devices. Direct access to GPU pipelines enables real-time visualization without intermediate processing.

2B+
Max Points
60fps
Sustained
WebGL 2.0
Standard
Spatial Indexing

Spatial Indexing

Multi-resolution octree structures with adaptive level-of-detail selection. Enables sub-100ms spatial queries even across petascale datasets. Supports dynamic insertion and deletion with online rebalancing. Memory-efficient tile-based storage reduces per-point overhead to <16 bytes. GPU-resident indices enable client-side filtering without server round-trips.

<100ms
Query Time
<16B
Per-Point
Octree
Structure
Compute

Analytical Compute

In-GPU compute kernels for classification, segmentation, and measurement without leaving the rendering pipeline. Supports custom GLSL shaders for domain-specific analysis. Built-in operators for density analysis, normals estimation, intensity filtering, and temporal change detection. Results stream directly to visualization layer with zero-copy transfers.

Custom
Shaders
Zero-copy
Transfer
In-GPU
Processing

Performance benchmarks

2B+
Points Rendered
<100ms
Interaction Latency
60fps
Sustained Framerate
8x
Faster Streaming
<50MB
Client Memory
99.9%
Uptime SLA

Supported data sources

Aerial LiDAR
Terrestrial LiDAR
Satellite Imagery
Drone Photogrammetry
Sensor Networks
GIS Vectors

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