Standardized drone imagery, built for global scale.

Fresh captures in days across the U.S. and Canada. Expanding worldwide.

When satellite and aerial imagery fall short, Spexi delivers the clarity and recency your workflows rely on.

Trusted for more than ‘x number’ of site inspections and digital twins.

5M+
Acres
Sub 3cm image resolution
200+
Cites
The world’s largest drone imagery network
< 48
hours
Average order-to-delivery time

Your spatial data stack is missing its dynamic layer

Temporal data gaps cause model drift and data decay.

Spexi’s fresh captures eliminates stale data, delivering continuously updated imagery that keeps your spatial intelligence accurate and up-to-date.

Up-to-date geospatial outputs

Fresh, standardized, ML-ready imagery products generated exactly where and when your models need them. Delivered via API and optimized for spatial AI workflows.

Obliques

Flying the oblique flight plan, drones capture angled imagery from 7 waypoints within each Spexigon. The result: immersive 360° panoramas, ideal for aerial site inspections and tracking change over time.

Orthomosaics

High-resolution, top down imagery stitched into georeferenced maps. Perfect for measurements, overlays, and planning with GIS precision.

Create your dynamic geospatial model
Spexi gives you the structured, high-resolution geospatial data you need to build advanced spatial AI systems. Generate live terrain models, 3D meshes, orthomosaics, and depth-rich environments that feed directly into perception, mapping, simulation, and planning pipelines.

How Spexi works

Spexi leverages software and a global network of drone pilots to produce fully standardized and ultra-high resolution imagery products of Earth.

Define your AOI’s.

Spexi automates orders to the LayerDrone network, capturing and standardizing imagery across 200+ cities in days

Retrieve it via API - formatted and ready for your workflows.

Wherever your base imagery ends, Spexi begins

Imagery-powered AI workflows

High-resolution drone data that fuels the core computer vision tasks your AI models rely on.

Object detection

Use case: Street mapping, object classification

Segmentation

Use case: Roof damage detection, construction progress, land cover detection

Change detection

Use case: Post-disaster analysis, encroachment alerts

Digital twin creation

Use case: Infrastructure & urban modeling, autonomous navigation

Synthetic data generation

Use case: AI model training (detection, mapping, risk assessment)

Get the data you need, when it matters most.

Access up-to-date imagery via API.

problem-solving