Predictive Spatial Intelligence for Enterprise.

We architect automated remote sensing pipelines and spatial software. Deploy audit-ready ML models on global satellite imagery in minutes.

PROPRIETARY PIPELINE

They see dirt.
We see data.

Toggle our multi-spectral analysis layers. We extract invisible insights from standard optical imagery to power your MRV compliance.

Raw Optical View
NDVI Analysis
NDVI|Vegetation Health

Custom Spatial Data Infrastructure

We don't just pull pixels; we architect enterprise data lakes. We fuse multi-spectral optical, cloud-piercing SAR (Sentinel-1), and historical Landsat data into high-performance PostGIS environments.

Proprietary AI & ML Modeling

Move beyond generic indices. We train and deploy custom machine learning models specific to your geography, detecting millimeter-level ground subsidence, illegal encroachment, or species-level biomass.

Engineered for the
physical world.

Automated MRV & ESG

Stop relying on manual audits. We build automated Measurement, Reporting, and Verification pipelines for carbon developers and ESG funds.

Critical Asset Monitoring

Continuous, cloud-piercing surveillance. Monitor millimeter-level shifts in dams, pipelines, and mines before catastrophic failures occur.

Supply Chain Intelligence

Map your physical supply chain. We deploy custom machine learning to predict agricultural yield and track commodity stockpiles globally.

Custom WebGIS Engineering

We don't just hand you raw TIFF files. We build blazingly fast, custom web applications that render millions of spatial data points in your browser.

Built by us

GeoVerdant case study

A satellite-to-dashboard workflow for operators who need repeatable spatial analysis rather than one-off imagery exports.

From raw imagery to audit-ready review.

GeoVerdant combines NASA HLS data with spectral indices, anomaly detection, and a WebGIS review layer so teams can move from pixels to decisions without manual spreadsheet work.

NASA HLSNDVIEVINDWISAVINDRELAIAnomaly detectionWebGIS
Automated ingestion pipeline for multi-temporal satellite data.
Spectral analysis layers for vegetation, water, and stress monitoring.
Decision-ready dashboards built for fast review and export.
GeoVerdant WebGIS dashboard
GeoVerdant dashboard
WebGIS review + anomaly layers
NDVI Analysis view
NDVI Analysis

Real-time vegetation health monitoring and normalized difference vegetation index analysis.

AOI Selection interface
AOI Selection

Intuitive geographic selection tools for targeted analysis and reporting workflows.

Enterprise Architecture

Data Ingestion
Multi-Sensor Fusion
Fusing SAR, LiDAR, Hyperspectral, and Optical data from custom constellations.
Machine Learning
Bespoke Model Training
Custom CNNs and Vision Transformers trained specifically for your geography and use-case.
Infrastructure
Dedicated Spatial Data Lakes
High-performance PostGIS architectures deployed directly into your corporate VPC.
Visualization
WebGL Vector Rendering
Custom client-side engines (Deck.gl) rendering millions of polygons at 60fps.
Security
Air-Gapped & On-Premise
Bank-grade encryption, SOC2 compliance, and offline deployment capabilities.
Engagement models

Pricing signal for qualified leads.

Most projects begin with a scoped audit, then expand into a managed pipeline or a licensed platform depending on the delivery model.

Custom pricing

Scoping & Audit

A focused review of your spatial data, workflows, and deployment path.

Retainer model

Managed Pipeline

Ongoing support for ingestion, model updates, and operational monitoring.

Custom pricing

SaaS Licensing

White-label or internal platform licensing for GeoVerdant-style delivery.

Technical Documentation

Download the Architecture Guide.

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Common questions

Answers to the questions buyers ask first.

A scoped audit can begin quickly; most delivery timelines depend on the data sources, access constraints, and the number of workflows involved.
Who we are

Founder-led, operator-minded.

NG
Solo founder

Nexus Geospatial

LinkedIn profile

Nexus Geospatial is a founder-led studio focused on remote sensing pipelines, enterprise spatial software, and the bridge between satellite data and decision-making. The work is deliberately direct: fewer dashboards, more operational clarity.