NIKA

NIKA GeoEngine

Serverless analysis ML infrastructure for real-world operations.

Give government and enterprise teams a faster way to deploy geospatial machine learning and classic scientific models. NIKA GeoEngine turns proven models into governed, reusable services that support planning, resilience, infrastructure, and environmental decisions.

Start in minutes

Deploy your first worker straight from the command line.

Install the CLI, wrap any script into a worker with your AI coder, then publish it to NIKA Planet, QGIS, ArcGIS, and the API. Copy each command and run it yourself — or skip the terminal and ask NIKA Analyst.

geoengine · installStep 1 of 3

Install the CLI and sign in

Make sure Docker is running, then install GeoEngine and log in with your NIKA account.

  1. Install GeoEngine (macOS · Linux)
    curl -fsSL https://raw.githubusercontent.com/NikaGeospatial/geoengine/main/install/install.sh | bash
  2. On Windows (PowerShell)
    irm https://raw.githubusercontent.com/NikaGeospatial/geoengine/main/install/install.ps1 | iex
  3. Sign in with your NIKA account
    geoengine auth login
  4. Add QGIS / ArcGIS plugins (optional)
    geoengine setup plugins --all

Don’t want to touch a terminal? Build, test, and deploy GeoEngine workers just by chatting with NIKA Analyst — it runs every step above for you.

Do it in NIKA Analyst

Governed model lifecycle

Launch models once. Keep improving them after production.

01

Create or bring a model

Start from existing scientific code, an analyst script, an open-source model, or a new model drafted with AI support.

02

Publish a governed service

Package it once, assign a version, and make it available to authorized teams through NIKA Planet, ArcGIS Pro, QGIS, or APIs.

03

Improve after production

Retrain, tune thresholds, add new input datasets, compare outputs, and roll forward without disrupting field operations.

Model examples

12 examples of what teams can deploy as reusable analysis services.

These examples are drawn from the GeoEngine worker catalog and common public-sector workflows. More models can be browsed in NIKA Hub, or created with AI assistance for free.

Aerial example: Hydraulic flood modelling
Water and resilience

Hydraulic flood modelling

Run rainfall, river, and drainage scenarios so agencies can compare flood risk before approving works.

Aerial example: Canopy height and biomass
Forestry and carbon

Canopy height and biomass

Turn satellite and lidar evidence into forest structure layers for carbon, habitat, and restoration planning.

Aerial example: Building footprint extraction
Urban planning

Building footprint extraction

Convert aerial imagery into building layers that support cadastral review, housing supply, and post-disaster checks.

Aerial example: Road and access detection
Transport and logistics

Road and access detection

Extract road networks and access routes from imagery to support routing, emergency access, and infrastructure audits.

Aerial example: Water productivity
Agriculture

Water productivity

Estimate evapotranspiration and crop water productivity for irrigation planning and drought response.

Aerial example: Climate extreme indicators
Climate adaptation

Climate extreme indicators

Operationalize heat, rainfall, and cold-spell indicators for policy reporting and infrastructure stress planning.

Aerial example: Seismic and catastrophe risk
Insurance and safety

Seismic and catastrophe risk

Model hazard, exposure, damage, and loss scenarios for emergency planning and asset risk portfolios.

Aerial example: Vessel movement analytics
Maritime operations

Vessel movement analytics

Analyze AIS tracks, port movements, marine zones, and environmental context for shipping and coastal enforcement.

Aerial example: Drone photogrammetry
Survey and mining

Drone photogrammetry

Convert drone imagery into orthophotos, point clouds, DSMs, and meshes for site progress and volume checks.

Aerial example: Ground movement monitoring
Mines and infrastructure

Ground movement monitoring

Use InSAR time series to detect subsidence, slope movement, and infrastructure deformation earlier.

Aerial example: Ecosystem service models
Environment

Ecosystem service models

Run habitat, sediment, nutrient, carbon, and coastal vulnerability models for conservation investment decisions.

Aerial example: Renewable site suitability
Energy

Renewable site suitability

Combine terrain, grid, wind, constraints, and ranking models to prioritize development sites.

NIKA Hub workers

Browse more deployed models, or start creating your own with AI for free.

Open worker catalog

Where it runs

Models reach the teams that need them, without asking every team to become infrastructure engineers.

GeoEngine workers can be made available across NIKA Planet, ArcGIS Pro, QGIS, and managed cloud workflows. The same model can support analysts, managers, and field operations with one governed release path.

Cloud model catalog

Worker catalog in QGIS

Managed run setup

ArcGIS worker catalog

ArcGIS job configuration

For model-owning teams

Make the models your organization already trusts easier to deploy, govern, and improve.