Spatial AI • Remote Sensing • Digital Twins

Applied intelligence for land, crops, and operational decisions.

Applied Spatial Intelligence Labs LLC builds practical AI systems that transform satellite, drone, LiDAR, hyperspectral, weather, and field data into decisions teams can trust.

UAV & satellite analytics Crop digital twins Geospatial ML pipelines
Field Intelligence Layer Live
VNIR LiDAR RGB
Stress riskEarly
Yield signalRising
Coverage97%

Built for teams working with complex spatial, environmental, and biological systems.

Hyperspectral Multispectral LiDAR SAR Time-series AI Crop models

What we do

From raw spatial data to production-grade intelligence.

ASI Labs helps organizations design, prototype, and operationalize AI systems where location, time, environment, and biology matter.

01

Spatial AI Strategy

Translate business, research, and operational goals into practical spatial AI roadmaps, datasets, model requirements, and success metrics.

  • Use-case discovery
  • Sensor and data strategy
  • Build-vs-buy technical planning
02

Remote Sensing Analytics

Extract actionable insights from UAV, satellite, hyperspectral, multispectral, LiDAR, RGB, SAR, and environmental data streams.

  • Crop health and stress detection
  • Phenotyping and canopy analysis
  • Multi-temporal monitoring
03

AI Product Prototypes

Build fast, credible prototypes that connect models, dashboards, APIs, and decision workflows for pilots, grants, and product validation.

  • Computer vision models
  • Geospatial ML pipelines
  • Decision-support dashboards

Systems we build

Applied AI for complex ground truth.

We combine domain science, spatial data engineering, and machine learning so models stay connected to the physical world.

Talk about your system →

Agricultural digital twins

Virtual crop and field environments for prediction, simulation, breeding, and operational planning.

Crop disease and stress intelligence

Early warning systems using spectral, image, environmental, and time-series signals.

Yield and biomass prediction

Models that integrate remote sensing, crop growth models, weather, soil, and field observations.

Geospatial decision dashboards

Clear interfaces for scientists, agronomists, operations teams, and executives.

Where we help

Focused on agriculture first, extensible to environmental intelligence.

AgTech & Crop Science

Breeding, phenotyping, yield prediction, disease detection, and field monitoring.

Remote Sensing Teams

Multi-sensor workflows, data fusion, quality control, and scalable analytics.

Food & Sustainability

Resource optimization, climate resilience, environmental monitoring, and land intelligence.

Research Organizations

Grant-ready prototypes, reproducible pipelines, and scientific model development.

How we work

Small, senior, and execution-oriented.

Engagements are designed to move from uncertainty to working systems quickly.

1

Frame the decision

Define the operational decision, scientific question, user, time horizon, and measurable success criteria.

2

Audit the data

Assess available sensors, spatial resolution, temporal coverage, labels, ground truth, and data quality.

3

Build the intelligence layer

Develop models, pipelines, and evaluation workflows that connect spatial signals to outcomes.

4

Deliver the workflow

Package results into dashboards, APIs, reports, or deployable prototypes your team can use.

Founded by Ali Masjedi, Ph.D.

Ali is a remote sensing scientist and senior data scientist with deep experience in agricultural AI, UAV and satellite analytics, hyperspectral and LiDAR processing, crop digital twins, and multi-temporal phenotyping.

Senior remote sensing leadership Experience leading advanced remote sensing and ML projects in crop science.
Digital twin and predictive modeling Work across crop virtual replicas, environmental data integration, and yield prediction.
Ph.D. in Remote Sensing Doctoral work on multi-temporal, multi-modal predictive modeling of plant phenotypes.
Publication-backed expertise Research across UAV hyperspectral, LiDAR, crop growth models, and sorghum biomass prediction.

Start here

Have spatial data, a crop problem, or an AI product idea?

Send a short note about your goal, data sources, timeline, and what decision you want to improve. ASI Labs can help you shape the system and build the first working version.

Project inquiry

Best for consulting, prototypes, partnerships, and applied research collaborations.

Email ASI Labs
Based in West Lafayette, Indiana Available for remote and hybrid engagements