AI-enhanced terrain map showing detected trails, routes, and points of interest

Temple Intelligence presents AtlasTrail AI

Machine learning for maps that need to become navigation intelligence.

AtlasTrail AI analyzes satellite imagery, aerial data, topography, and existing map layers to find trails, trailheads, route connections, water crossings, scenic viewpoints, access points, and field-relevant places.

Trail extraction Detect faint paths, route breaks, switchbacks, and informal connectors.
POI discovery Surface trailheads, viewpoints, campsites, bridges, water access, and hazards.
Navigation-ready data Deliver scored vectors, labels, confidence layers, and review workflows.

Capabilities

From raw geospatial data to route-aware map products.

AtlasTrail AI combines computer vision, terrain reasoning, and human review loops to identify map features that matter when people need to move through real terrain. The system is built for parks, land managers, outdoor navigation companies, emergency planners, conservation teams, and organizations maintaining large trail inventories.

  • Detect trail corridors from aerial imagery, satellite imagery, LiDAR-derived terrain, and public map layers.
  • Classify points of interest including overlooks, water crossings, parking areas, rest sites, service roads, and access gates.
  • Rank each detection with confidence scores so teams can prioritize field validation and map updates.
  • Export GIS-friendly outputs for review in existing geospatial workflows.
Map intelligence workspace showing detected trails and points of interest

Product

AtlasTrail AI is built for teams that own map accuracy.

01

Ingest

Bring satellite tiles, drone imagery, elevation products, historical maps, GPX traces, and GIS layers into one analysis pipeline.

02

Infer

Run trail detection, route connectivity checks, POI classification, terrain segmentation, and anomaly discovery models.

03

Validate

Review model suggestions with confidence scoring, evidence snapshots, audit history, and field-verification status.

04

Publish

Export clean vectors, metadata, and change reports for GIS, web maps, navigation apps, and operational planning.

10k+ square miles supported per pilot region
4 signal families: imagery, terrain, traces, and map context
GIS exports for operational teams and map publishers

Purchase Information

Start with a focused AtlasTrail AI pilot.

The recommended entry point is a 30-day pilot for one defined region. Temple Intelligence configures the model workflow, processes your source data, delivers candidate trail and POI layers, and reviews the results with your mapping or operations team.

AtlasTrail AI Pilot

$4,800 starting price

  • One pilot geography up to 10,000 square miles
  • Trail, route, and POI detection layers
  • Confidence scoring and evidence snapshots
  • GIS export package and findings review
Purchase a pilot

Enterprise licensing, API access, and custom model training are available after pilot validation.

About Temple Intelligence

We build applied AI systems for spatial decisions.

Temple Intelligence develops machine-learning products that help organizations interpret complex geospatial data. Our work focuses on practical outputs: route networks that can be reviewed, points of interest that can be verified, and map intelligence that supports decisions in the field.

Contact Us

Bring us a region, a map problem, or a data set.

Contact Temple Intelligence for pilots, procurement questions, technical scoping, or partnership discussions.

contact@templeintelligence.com sales@templeintelligence.com Temple Intelligence Geospatial AI and map intelligence