Whole-sounder management — not trap-and-scatter Book a consultation

Investor briefing / Sounder Solutions

Built for people who understand the land.

This isn't a pitch for any checkbook. We're looking for an investor who knows what it's like to lose a hay field to thirty hogs overnight — someone in the ag world who sees the problem, understands the hardship, and can see a horizon we haven't reached yet. We already walked away from one accelerator because the fit wasn't right. The right partner matters more than the fastest check.

NVIDIA Inception Program Member

NVIDIA Inception · Capital Connect
Approved July 29, 2026 · Active 90-day VC window

Sentinel V3 / Edge Intelligence Node Development active
Sentinel V3 — Jetson Orin Nano Super edge AI platform in ruggedized field enclosure
Compute67 TOPS
DecisionOn-device
PowerOff-grid

The investment case

The problem is real, it's getting worse, and nobody has solved it at scale.

Feral hogs cause $2.5 billion in annual U.S. agricultural damage. The population doubles every five years. Conventional trapping removes a few animals and educates the rest — making the next capture harder. The industry doesn't need a better trap. It needs an intelligence system that verifies the full group is present before acting.

01 / Problem

Partial capture makes the problem smarter.

Take three out of twelve and you've trained nine survivors to avoid traps. The only effective strategy is whole-sounder capture — and that requires knowing when every animal is inside. No human can watch a screen 24/7. AI can.

02 / Solution

Field-built intelligence, not a lab prototype.

Three hardware generations built in Northeast Texas. The technology started as a working system on the founder's property — a mesh network, a screen, and a manual trigger a quarter mile from the house. It works because it was built to work, not to demo.

03 / Moat

Every deployment builds a dataset no one else has.

Field imagery, thermal signatures, capture events, sounder behavior patterns — collected from real East Texas deployments. This proprietary dataset compounds with every unit in the field. No competitor can buy it or replicate it from generic wildlife data.

Platform vision

Not a trap company.
A field intelligence platform.

The Sentinel is the flagship — but the AI layer isn't locked to one product. We're already building a trail camera line that puts the same intelligence into a form factor any rancher, hunter, or wildlife professional can deploy. Same models. Same training. Different price point. Broader market.

TIER 1

Sentinel System

Full-scale field AI. Jetson Orin, dual cameras, solar, thermal wake, autonomous gate control. Designed for commercial landowners, government land managers, and ag operations with serious hog pressure.

67 TOPS · Off-grid · Autonomous decisions
TIER 2

AI Trail Cameras

Same intelligence layer in an affordable trail camera form factor. Wildlife monitoring, herd health checks, predator alerts, wounded animal identification, perimeter coverage. No corral required — just deploy and monitor.

Smart detection · Accessible price · Broad market
PLATFORM

Field Intelligence Network

Both tiers feed the same cloud dashboard and the same proprietary dataset. More deployments = smarter models = better detection = more deployments. The flywheel doesn't depend on one hardware SKU.

SaaS layer · Data compounding · Multi-use case

Intelligence platform use cases

Feral hog capture Wildlife monitoring Herd health / injured livestock Predator alerts Perimeter security Population surveys

NVIDIA technology in production use

Full-stack NVIDIA.
Desktop to cloud to edge.

Every layer of our pipeline runs on NVIDIA tools. Local development on a GeForce RTX 5070 Ti. Cloud training on A10G Tensor Cores. TensorRT optimization. Jetson deployment. One SDK from workstation to field. NVIDIA accepted us into Inception because we're building real products on their platform — not just using the logo.

Full technical walkthrough →
Active

RTX 5070 Ti — Local development

Dataset preparation, label QA, rapid training experiments, and TensorRT export testing on local GPU.

Active

AWS G5 / A10G — Cloud training

Full YOLOv8 training runs on NVIDIA Tensor Core GPUs. $10K in compute credits through Inception.

Active

TensorRT — Edge optimization

Trained models quantized to FP16/INT8 for 60–100+ FPS inference on Jetson hardware.

Deployed

Jetson Orin Nano Super — Field AI

67 TOPS of on-device compute. DIN-rail mounted, solar powered, zero cloud dependency for decisions.

Progress made

Built through three hardware generations. No vapor.

Hardware

V1 → V2 → V3 Complete

Manual mesh system → Raspberry Pi + cellular → Jetson Orin Nano Super. Each generation solved the previous one's ceiling. V3 architecture is finalized.

IP

Patent Filed

Full-Array Fire (FAF™) trigger logic. Application No. 63/783,959, filed April 5, 2025. Assigned to Sounder Solutions LLC. Addresses the primary failure mode of trapping: partial capture.

Ecosystem

NVIDIA Inception + ICC

Inception membership and Capital Connect approval (July 29, 2026). Technical validation from NVIDIA. Active 90-day VC visibility window through their partner network.

The right partner

We're not looking for a checkbook. We're looking for alignment.

The right investor for Sounder Solutions is someone in the ag world — someone who understands what it means to work the land, who's felt the frustration of a problem that outgrows every solution thrown at it. Someone who can see where this platform goes and help us get there. Not just capital. Perspective. Vision we haven't found yet. A partner who relates to the core value: protect the people who work the land.

If that's you — or you know who it is — the right move is a conversation.

Let's talk