Private AI that runs on hardware you own and makes the team you already have faster — with no metered cloud bill that grows every time they use it.
Move your cursor — that's sunlight. Every speck is an autonomous agent, no central brain. This is what local, distributed AI looks like.
What We Do
From private AI to independent security testing — one philosophy: your data and your models live on hardware you own, engineered and secured by the same hands.
On-premise, air-gapped servers with GPU acceleration for AI model training and inference. Purpose-built for companies that handle sensitive data — aerospace, defense, manufacturing, biotech.
Learn more →Scoped manual web & API penetration tests for companies facing SOC 2, PCI, or an enterprise security review — fixed scope, fixed fee, 2–3 weeks. The difference: I also write the Sigma/Suricata detection rules for what I find, so you can see the next attack.
Learn more →Firmware development, PCB design, TinyML deployment, hardware simulation, and CI/CD for embedded systems. From concept through validated prototype.
Learn more →Solar-powered sensor platform for livestock and crop monitoring. Real-time data over long-range radio, AI-powered health alerts, and automated environmental control. No Wi-Fi needed.
Learn more →Run the Numbers
Commercial AI agents charge by usage — so the bill grows every time your team actually uses it. Local AI you own is a one-time build that runs flat forever. Move the sliders and watch.
Same productivity lift for your team — without the meter.
How It Works
A straightforward process that gets you from zero to operational AI infrastructure.
On-site assessment of your workflows, data, and pain points. We identify the 2-3 highest-value AI applications for your team. 1-2 weeks.
Server procurement, rack installation, virtualization, networking, and security hardening. You own the hardware. 1-2 weeks.
AI model development and fine-tuning on your actual data. Workflow integration and team training. 2-4 weeks.
Monthly reviews, model updates, new capability rollouts. Your AI gets smarter as your data grows. Ongoing.
Use Cases
Real applications running in production today, not science projects.
Computer vision inspects parts faster and more consistently than manual QC. Fewer defects, less waste, higher throughput.
AI analyzes production data to find inefficiencies and optimal parameters. 10-30% throughput improvement.
Models learn equipment patterns and predict failures before they happen. Reduce unplanned downtime.
Auto-generate reports, specs, and compliance documents from your data. Hours saved per week.
AI assistants trained on your codebase and standards. Faster firmware and software development without exposing your IP.
Real-time AI-powered animal health alerts, environmental monitoring, and automated control. Off-grid, solar-powered.
Investment
You own the hardware. No per-query fees. No surprise invoices.
$5K - $15K
One-time. Enterprise-grade rack server with GPU acceleration, configured for your workloads. You own it.
$125 - $200/hr
Or fixed-price contract with defined deliverables and deadline. Discovery through deployment in 4-8 weeks.
Monthly Retainer
Optional. Model updates, optimization, new capabilities, priority support. $125-$200/hr or flat monthly rate.
About
I'm Johnathan Hamaker. I build the full stack — from circuit boards to AI models to the servers that run them. Based in Washington State.
I started FarmHub to solve real problems on my own farm with technology that works off-grid, runs locally, and doesn't depend on anyone else's cloud. That same philosophy — your data, your hardware, your control — is what I bring to every client.
Get Started
30-minute walkthrough. No pitch, no pressure — just a look at what's running and how it could work for you.
Johnathan Hamaker
wafarmhub@gmail.com
Washington State