Do you work with our imagery or collect our own?

Both. We can run models on data you already hold, or capture it ourselves with UAV, terrestrial LiDAR or mobile mapping teams, which is useful when ground-truth validation is needed.

How do you decide whether a problem suits AI?

We start with a feasibility consultation. We look at the target, available data and the accuracy the decision actually needs, and tell you plainly if a conventional workflow would serve better.

Who owns the trained models and outputs?

Ownership and licensing terms are agreed per engagement in the statement of work. For sensitive deployments, on-premise delivery keeps your data and models inside your own environment.

Is this a product or a project?

Geo AI Solutions is delivered as scoped engagements built on reusable Gesix pipelines. Where a capability matures into a repeatable platform, as road inspection did with GeoSurveyAI, it can be licensed.

All Products

Automated spatial intelligence, from pixels to point clouds.

Custom deep-learning pipelines for the spatial data you already collect: drone imagery, satellite scenes, utility corridors and LiDAR scans.

Request a Feasibility Consultation Explore Capabilities

Photogrammetry AI
Earth observation
Corridor monitoring
Point-cloud AI

Built forRenewable energy developersTransmission utilitiesPipeline operatorsForestry & urban planners

Applied Domains

Four places where spatial AI pays for itself.

Each domain combines a field-capture capability that Gesix already operates with a model pipeline tuned to the target.

Drone & Aerial Photogrammetry AI

Inference on orthomosaics, point clouds and thermal imagery captured by our DGCA-certified UAV teams or yours.

Stockpile volume estimation
Solar panel defect thermography
Change detection

Satellite Earth Observation ML

Models that read multispectral and SAR imagery at scale to map what is changing on the ground, and where.

Land-use / land-cover (LULC)
Urban encroachment
Surface water mapping

Utility Corridor & Linear Infrastructure AI

Continuous monitoring of long, narrow assets where manual inspection is slow and patchy.

Transmission-line vegetation encroachment
Pipeline right-of-way audits
Corridor change alerts

3D Laser Point-Cloud Automation

Automated classification of terrestrial and aerial LiDAR data to shorten the path from scan to usable model.

Scan-to-BIM classification
Structural deformation
Element extraction

How We Work

From a question to a running pipeline.

1
Feasibility
We review your problem, imagery and ground truth, and say honestly whether AI is the right tool and what accuracy is plausible.
2
Data & labelling
Audit existing data, plan acquisition if needed, and build a labelled training and validation set with your domain experts.
3
Model development
Train and compare architectures against held-out data, with metrics defined together up front.
4
Validation
Test against independent field or LiDAR ground truth, and report errors by class and by condition.
5
Deployment
Hand over a running pipeline in the model that suits you, with documentation and a path to retraining.

Deployment Models

Run it where your data is allowed to be.

Cloud API

Send imagery or point clouds, receive GeoJSON, rasters or classified clouds. Fastest to start and easiest to scale.

On-premise, air-gapped

Models and pipeline run entirely inside your network for sensitive infrastructure and government data.

Edge embedded

Optimised inference on field devices and vehicles where connectivity is limited and latency matters.

Enterprise Stack

Open, inspectable building blocks.

PyTorch
TensorRT
PostGIS
GDAL
Open3D
QGIS
Python

No proprietary lock-in: outputs land in standard GIS and point-cloud formats. See the full technology stack and our AI asset management service.

FAQ

Before we start.

Build custom spatial intelligence with us.

Tell us the target and the data you have. We will tell you what is feasible, what it needs, and what it would take.

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