Local AI that never leaves your network
Full-precision LLMs, local voice, and agentic infrastructure running on your own hardware — so your data, your prompts, and your outputs stay on your network. No cloud, no third-party API, no compromise.
// what we build
I design and ship production-grade local AI stacks: the models, the serving layer, the voice pipeline, and the agents that tie it together. The goal is a system your team actually uses — not a demo that dies in a notebook. Everything below runs offline, from air-gapped to fully on-premise.
// who it's for
Three teams get the most out of running AI on their own hardware. If you're one of them, this is the engagement.
Businesses that can't let data leave the building
Regulated industries, IP-heavy work, and any org where "no data leaves your network" is a hard requirement — what people call air-gapped AI.
- No connectivity to the internet at runtime — the model runs entirely on-premise
- Full-precision local models tuned to your data and use case
- Local voice pipeline: speak to it, it speaks back, nothing recorded to a cloud
Agencies that want AI efficiency without the lock-in
I run an almost-autonomous marketing agency on this exact stack. If you're a traditional agency watching the gap open up, I show you how to close it — and help you build the setup, not just talk about it.
- See the reference implementation: content, SEO, lead capture, and reporting running on local AI
- Get a working setup your team can adopt — not a slide deck
- Understand where AI actually pays back in an agency workflow, and where it doesn't
Dev shops that can't afford third-party providers
Cloud LLM APIs add per-token cost, vendor dependency, and a data-egress you may not be allowed to have. Going local is cheaper at scale, faster at the edge, and keeps client data on your side of the line.
- A production serving setup your team can start using on day one
- Hardware + model selection matched to your budget and workload
- Full-precision local inference — no quantization quality loss, no monthly token bill
// what you get
A scoped engagement that ends with a running system, documented and handed over to your team.
- Discovery + hardware sizing — what your workload actually needs, matched to a budget you'll approve before we buy anything.
- Model + serving build — full-precision local LLM serving, tuned to your use case, benchmarked and documented.
- Voice + agent layer — local TTS/STT and the agentic infrastructure (memory, tools, evals) that makes it a system, not a script.
- Handover + enablement — your team trained to operate it, with the docs to keep it running without me.
Ready to put AI on your own hardware? Tell me your use case and privacy constraints — I'll size the setup and scope the engagement.
Book a Local AI Session