The AI Infrastructure Layer
for Wildlife Security
WildGuard Inc. is developing offline-first edge AI designed to detect poaching, predator incursions, and human-wildlife conflict in remote conservation environments. Our design goals are local threat classification, sub-200ms inference, and zero cloud dependency.
Conservation technology should work where there is no signal. WildGuard is being designed for offline-first edge intelligence in remote environments.
See the Grid in Action
A concept demonstration of planned threat detection, triage, and ranger coordination workflows — not live deployments or validated results.
Conservation is reactive. Poaching is not.
Traditional wildlife monitoring relies on human patrols, delayed reporting, and cloud-dependent systems that can struggle in remote environments. Threats may be confirmed too late. WildGuard aims to help address that gap.
Edge AI Designed to Support Faster Ranger Response
WildGuard is designed to classify threats in under 200 milliseconds on low-power field hardware, with zero cloud dependency. Planned capabilities include day-and-night detection and alerts to rangers and conservancy managers over low-bandwidth links when available. These are design goals, not validated performance.
DETECT
Planned edge sensors are designed to monitor activity in remote ecosystems without cloud processing.
CLASSIFY
On-device computer vision is being developed to classify humans, wildlife, and threat behavior, targeting sub-200ms inference.
ALERT
Planned encrypted alerts are designed to notify rangers and conservancy managers over low-bandwidth links when available.
PROTECTING EARTH'S
MOST VULNERABLE SPECIES
WildGuard was founded on a simple belief: endangered ecosystems deserve technology designed for their needs. We aim to combine edge AI, threat intelligence, and ranger coordination to support wildlife protection.
WildGuard Design Goals
Offline-First Design
Designed to run AI on low-power edge hardware with zero cloud dependency in remote conservation environments.
On-Device Classification Target
Computer vision under development to distinguish humans from wildlife, targeting sub-200ms inference. Performance remains to be validated.
Planned Encrypted Alerts
Designed to support ranger notifications over available low-bandwidth links, with the goal of faster response.
Scalability Goal
The planned architecture aims to support deployments across protected areas without relying on cloud processing.
Designed for the People Protecting the Planet
National Parks & Reserves
Anti-Poaching Units
Wildlife Conservancies
Conservation NGOs
Government Wildlife Agencies
Private Game Reserves
Milestones and Momentum
NSF SBIR Phase I
Project Pitch accepted and invited to submit a full proposal. Full proposal submitted July 2026 and under review. Requesting $253,900 in non-dilutive R&D funding. Pending, not awarded.
Delaware C-Corp
Incorporated August 2025.
SAM.gov
Registration complete.
Technical Advisor
Engaged under an executed agreement.
wildguard.io
Website live.
From Prototype to Planet
Build the First Working Prototype
Planned milestone: build and field-test the first working prototype.
Conservation Pilots & Paid Agreements
Planned milestone: deploy in conservation pilot programs and sign first paid pilot agreements.
Optimize On-Edge AI
Target 85% or higher precision and 80% or higher recall on sub-$200 hardware (NSF Phase I focus, pending award).
Series A Readiness
Planned milestone: Series A readiness.
BUILT FOR THE FIELD
WildGuard was created to bring real-time intelligence to environments where traditional systems fail. Designed for remote, high-risk ecosystems, WildGuard is focused on speed, autonomy, and real-world deployment at scale.
Wildlife doesn't have a voice. Our goal is to develop edge technology that helps protect them, even where there is no connectivity.
Dexter Corker
Founder & CEO, WildGuard
Join the Global Defense Grid
WildGuard is currently raising a $3M-$5M Seed Round to develop our edge hardware prototype and plan our first field pilot programs. We are seeking strategic investors who believe technology can protect the planet.
Investor Data Room
Request the pitch deck for offline-first edge AI for remote land monitoring.
Request Pitch DeckSPECIES REQUIRING IMMEDIATE INTERVENTION
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