Raven Scout
Raven Scout analyzes your map images, target species, hunt date, time window, GPS, wind, weather, weapon, method, and known hunt locations to produce ranked setups, access routes, risk notes, and a tactical brief.
Coming soon to the Apple App Store and Google Play for iOS and Android hunters.
Trial accounts include three lifetime AI hunt analyses across all eight supported species. Core and Pro add monthly analysis volume, rollover, and weather automation, with Pro adding multi-image analysis and cloud backup of map imagery.
The four-step hunt workflow
Create a hunt by choosing a species, adding map imagery, entering conditions, and reviewing the request before analysis. Reopening saved hunts does not consume an analysis credit.
Pick a target species
Choose from whitetail deer, wild hog, wild turkey, elk, black bear, moose, pronghorn antelope, and coyote.
Add map images
Upload a map image or capture one from the interactive MapLibre viewer. Each hunt can save up to five images; Pro can cross-reference additional images during analysis.
Enter hunt conditions
Set hunt date, time window, GPS, wind, weather, weapon, method, and species-specific details. Optional known locations preserve stands, blinds, cameras, feeders, parking, access points, or custom assets.
Review and analyze
Raven Scout sends the primary map image, hunt context, and known locations to the AI, then saves returned overlays, markers, ranked setups, and the written tactical brief.
Results tied to the map
The results screen combines AI-placed overlays, one to three ranked setups, a saved-marker editor, and a written tactical brief with wind notes, best time, assumptions, and species tips.
Planned overlay types
The app renders the primary map image with a locked legend and overlays for stand locations, travel, access, avoid zones, bedding, feeders, water, funnels, and setup markers.
Context the analysis actually uses
Raven Scout does not treat every hunt the same. The analysis request includes the selected weapon, method, weather, wind, time window, species-specific details, and any known locations you provide.
Where the hunt happens
Set privacy, state, hunting region, GPS, and date so the plan has terrain and timing context.
How you plan to hunt
Choose weapon and method inputs that shape stand placement, access, exposure, and shot windows.
Conditions that matter
Wind, temperature, precipitation, and cloud cover are included so recommendations match the day.
Your fixed points
Add stands, blinds, cameras, feeders, parking, access points, or custom assets as fixed inputs.
Trial, Core, and Pro planning
Tiers are structured around analysis volume, supported species, weather automation, rollover, image handling, and Pro cloud backup.
Start without a card
3 lifetime analyses
All eight supported species, primary-image analysis, local hunt history, saved-marker editing, and manual weather and wind entry.
Monthly field use
10 analyses per month
All eight species, weather and wind auto-fill, primary-image analysis, and one billing cycle of unused-analysis rollover.
More map context
40 analyses per month
All Core capabilities plus multi-image correlation for up to five images per hunt, Pro cloud map-image backup, and 12 cycles of rollover.
AI sharpens judgment. It does not replace it.
Raven Scout is a decision-support tool. It is not a live GPS tracker, legal guide, regulation lookup, emergency tool, or substitute for boots-on-ground scouting. Verify land ownership, regulations, safety, and access independently.
Local first, Pro cloud backup
Raven Scout stores hunt metadata, analysis output, overlays, markers, and map images locally on the device that created them. Pro adds private cloud backup for saved map imagery and automatic cross-device restore.
The best Raven Scout result starts with a clear satellite, hybrid, or topo map covering roughly 0.5 to 2 square miles, visible terrain features, realistic wind input, and enough surrounding context to understand access, bedding, food, water, and pressure.