Local AI Engineering Services

Local AI.
Your hardware.
24 hours.

One senior engineer. A fully configured AI stack running on your infrastructure. No cloud dependencies. No data leaving your walls. Operational from day one.

24h
To operational
0
Cloud dependencies
1
Accountable engineer

01

Local inference, full stop.

All models run on your hardware. We use M3 Ultra and RTX 3090 GPU rigs to run frontier-class models — Qwen3-Coder, Llama, and others — on your premises. Your data never transits a third-party server.

02

One engineer. One accountability.

You deal with one senior engineer who owns the full stack — the AI infrastructure, the software, the delivery. No committees, no handoffs, no diluted responsibility.

03

Speed is the product.

Operational in 24 hours isn't a marketing claim — it's the discipline we build around. Most AI consultancies take 4–12 weeks to start. We start the next day.

04

AI-amplified output.

One engineer running a tuned local AI stack delivers 2–3× the output of a standard consultant. We don't just use AI tools — we are the infrastructure layer.


Hardware

  • Mac StudioM3 Ultra · 256GB RAM · Primary inference
  • GPU Rig4× RTX 3090 · 96GB VRAM · Linux · Parallel inference
  • MacBook ProIntel · Agent orchestration layer

Agent & Coding

  • OpenClawAgent orchestration & gateway
  • OpenCodeOpen-source agentic coding CLI
  • Claude CodeAgentic coding — local & cloud hybrid
  • OllamaLocal model inference — Qwen3, Llama, and others

Services

  • TTS / STTKokoro + Whisper · GPU-accelerated · Local
  • Vector SearchChromaDB + nomic-embed · Semantic memory
  • Web HostingLocal server · Cloud tunnel · Publicly reachable
  • Git RepositorySelf-hosted · Air-gapped · Code never leaves your network

Operating Systems

  • macOSApple Silicon (M3 Ultra) + Intel
  • LinuxUbuntu · GPU inference rigs