AI-Powered Geospatial Intelligence and Computer Vision Solutions
Montana Scientific Integration helps organizations turn imagery, sensor data, and complex visual information into actionable intelligence through advanced AI, remote sensing, and computer vision systems.
Visual intelligence built for real-world operations
We engineer AI systems that see, measure, and reason about the physical world — from satellites in orbit to cameras at the edge.
Process imagery from satellites, aircraft, drones, and fixed sensors.
Detect, segment, classify, and track objects and events with high accuracy.
Deploy models in the cloud or on edge hardware for real-time decisions.
A focused stack for geospatial and vision AI
Each engagement is grounded in scientific rigor, production engineering, and the operational needs of the customer.
Geospatial Intelligence & Remote Sensing
See your whole area of operations from above.
Detection, Segmentation & Classification
Replace hours of manual image review.
Event & Threat Detection
Know the moment something matters.
Edge AI & Embedded Vision
Run intelligence where the data is created.
Object Tracking & Motion Intelligence
Follow every object across frames and cameras.
Data Annotation & Dataset Development
Reliable models start with reliable data.
See our AI in action
Real-world applications of our computer vision and geospatial intelligence systems.
Roof Detection from Aerial Imagery
An automated computer vision pipeline that identifies and outlines individual roofs in high-resolution aerial and drone imagery. The system segments each roof instance with pixel-level precision, enabling rapid property assessment, insurance analytics, and urban planning workflows — without manual inspection.
- Instance segmentation of individual roof structures
- Trained on diverse architectural styles and materials
- Scalable to city-wide and regional datasets
- Compatible with satellite, aerial, and drone imagery
Trusted across science, industry, and government
Satellite, aerial, and map-based intelligence pipelines.
Asset monitoring, inspection, and condition analysis.
Change detection across landscapes and ecosystems.
Crop, soil, and land-use analytics from imagery.
Detection, tracking, and situational awareness systems.
Vehicle, route, and corridor intelligence.
Custom vision systems for research workflows.
Automated visual QA and defect detection.
Engineering rigor meets practical AI deployment
We design and validate models against real, domain-relevant data — not just benchmarks.
From data pipelines and annotation through training, deployment, and monitoring.
Models optimized to run in the field, on devices, with limited bandwidth.
Clear scope, technical transparency, and outcomes that fit your operational reality.
A broad technical foundation, deployed with care
Have an imagery, sensor, or vision problem?
We help teams scope, build, and deploy AI systems that work in the field. Let's talk about your data.