From camera to decision-ready insight.

Wildwatch's AI identifies, scores, and tracks wildlife across your property — with confidence ratings that tell you exactly how much to trust each result.

01

Connect your cameras

Link your trail camera accounts — Reolink, Spypoint, Tacticam — and Wildwatch pulls new images automatically. No manual uploads. No SD card juggling. Photos flow from field to platform without touching your phone.

Cloud Sync

Cameras with cloud accounts sync automatically. New photos appear in minutes.

Manual Upload

No cloud plan? Upload photos or ZIP files directly. Drag-and-drop or bulk import.

02

Automatic species detection

Every image is analyzed by Wildwatch's detection engine. It identifies the animal, draws a bounding box, and assigns a confidence score. Only images that meet the confidence threshold (70%+) advance to enrichment.

What It Determines

Species identification with precise bounding box coordinates and a numerical confidence score.

Confidence Gate

Below 70% confidence, the image is flagged — not guessed. No false positives propagated downstream.

03

Deep enrichment

Images that pass the confidence gate enter Wildwatch's enrichment layer. Using species-specific rubrics, the AI evaluates sex, maturity, body condition, and trophy indicators — each with its own confidence label. Boone & Crockett trophy scoring is available for whitetail today, with scoring for other species in development.

Species-Specific Rubrics

Enrichment is tailored per species — Boone & Crockett trophy scoring is available for whitetail today, with scoring for other species in development. Not one-size-fits-all.

Structured Output

Every enrichment field is labeled with a confidence tier: green (90%+), yellow (70-89%), or red (<70%). You always know what to trust.

04

Build the herd record

Enriched sightings accumulate into individual animal profiles. You confirm which sightings belong to the same animal — using natural markers like antler shape, coat patterns, and body features — to build a per-animal history across cameras and seasons. Automatic re-identification is in development.

Individual Re-ID

The same buck photographed at two cameras three months apart? Confirm them as one animal to build its history. Automatic re-identification is in development.

Living Memory

Each animal's profile grows over time — sighting history, score progression, movement patterns, seasonal behavior.

Every output is labeled. Every score is rated. Every decision is yours.

Most platforms hide their AI behind a black box. Wildwatch tells you exactly what it knows, how confident it is, and where it drew the line between observation and inference.

No Hidden Decisions

Every AI determination — species, sex, maturity, score — is visible in the interface alongside the source image. Nothing is silently assumed.

Confidence Tiers

Green (90%+), Yellow (70-89%), Red (<70%). Applied to every enrichment field individually, not just the overall result. You see exactly where the AI is certain and where it hedged.

User Corrections

Override any AI determination. Your corrections are first-class signals that improve the record — and future suggestions. The AI assists; you decide.

What the colors mean.

Every enrichment field is individually scored. A single sighting might have high-confidence species identification but low-confidence score estimation — and Wildwatch shows you both.

90%+ Green

High Confidence

The AI's determination is well-supported by image quality, visible features, and species-specific indicators. Reliable for reporting and decision-making.

70-89% Yellow

Moderate Confidence

Plausible determination but limited by image angle, distance, or partial occlusion. Useful as a signal, worth verifying before acting on it.

<70% Red

Low Confidence

Insufficient visual evidence for a reliable determination. The field is flagged, not estimated. Review the image and apply your own judgment.

See it in action.

Request Early Access