Your on-demand AI team
Your AI engineering team.
Your hardware.
24 hours.
Your dedicated engineering team. A fully configured AI stack running on your infrastructure.
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
Your dedicated AI team.
You work with your own engineering team that 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.
Your dedicated team 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.
Infrastructure stack
Hardware
- Mac StudioM3 Ultra · 256GB RAM · Primary inference
- GPU Rig4× RTX 3090 · 96GB VRAM · Linux · Parallel inference
- MacBook ProIntel · Agent orchestration layer
Agent & Coding
- Hermes AgentAgent orchestration & gateway (Nous Research)
- OpenCodeOpen-source agentic coding CLI
- 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
Our work in public
Research
Deep technical writing
Long-form research on AI models, infrastructure, protocols, and engineering practice. Published as we build.
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Feed
What we're tracking
A curated, unfiltered log of what we read, bookmark, and find worth keeping. Signal without the noise.
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