Fusing satellite, aerial, drone, and ground-based sensor data with advanced AI and deep learning — delivering scalable environmental intelligence from national landscapes down to individual trees.

3
Core Solutions
AI+DL
Powered Models
4
Sensor Data Types
Scale Flexibility

Where AI meets
environmental intelligence

ZaminSense Inc. is a C-Corporation startup operating at the intersection of AI, machine learning, and remote sensing. By integrating satellite, aerial, drone, and ground-based sensor data with our advanced ML and deep learning models, we deliver scalable insights that support ecosystem monitoring and natural-resource management.

Dr. Bahram Salehi
BS
Dr. Bahram Salehi
CEO & Co-Founder
Sina Jarahizadeh
SJ
Sina Jarahizadeh
CTO & Co-Founder

From raw data to
actionable insight

01
Multi-Source Data Ingestion
Satellite, aerial, drone, and ground sensors feed a unified pipeline, harmonized and co-registered at scale.
02
ML & Deep Learning Models
Custom-built DL architectures including our proprietary TreeNet engine extract meaningful environmental signals.
03
Scalable Insight Delivery
From national landscape baselines to individual tree metrics, delivered at the resolution your project demands.
04
Decision Support
Outputs support forest management, carbon accounting, water quality response, and utility vegetation management.

Ready to bring intelligence
to your ecosystem?

Let's build a smarter picture of your land, water, and forest resources.

Get in Touch →