Independent R&D Studio · Seattle, WA
CyberFunkLabs builds the infrastructure, automation pipelines, and AI integrations that serious technical operators need — from custom compute to production-ready system architecture.
About
CyberFunkLabs is an independent technical studio run by a senior systems engineer with a decade of hands-on experience across enterprise IT, AI infrastructure, and full-stack development.
We don't sell packaged software. We build bespoke solutions — systems that are architecturally sound, maintainable, and designed for your specific operational context. Whether that's a local AI deployment stack, a hardened network design, a Docker-based automation platform, or a custom PC built to an exact workload profile, the work is engineered, not assembled from templates.
Based in Seattle. Operating remotely and locally. Obsessive about reliability, documentation quality, and not wasting your infrastructure budget.
Network design, VLANs, VPN architecture, server configuration, containerization, and homelab/enterprise-grade deployments.
LLM integration, local model deployment, API orchestration, prompt engineering, and workflow automation across platforms.
Purpose-built computing hardware, scripted environments, macOS/Windows/Linux administration, and cross-platform toolchains.
Web applications, system tools, DevOps pipelines, API backends, and technical documentation for engineering teams.
Services
Engagements range from one-time technical consults to ongoing retained work. All scopes welcome.
Local and cloud LLM deployments (Ollama, LM Studio, API-backed), multi-agent orchestration systems, retrieval-augmented generation (RAG) pipelines, and production-ready AI tool integrations. We've run models on Jetson hardware and M-series silicon — we know the edge cases.
Unifi and enterprise-grade network design, VLAN segmentation, Tailscale mesh deployments, firewall policy configuration, and on-site/remote server builds. Designed to be documented and maintainable — not just functional.
High-performance workstations, AI compute nodes, homelab servers, and specialized rigs built to exact workflow specs. Component sourcing, assembly, OS setup, driver optimization, and benchmarking included.
macOS, Windows, and Linux sysadmin. Docker containerization, CI/CD pipeline design, cloud infrastructure (AWS, Azure), and scripted automation. If it can be automated or documented, it will be.
Architecture review, technology assessment, hardware selection, and strategic planning for technical projects. Structured engagement — you get deliverables, not just a conversation.
Not sure what you need?
Describe the problem — scoping is free. If it's something we can help with, we'll tell you exactly how.
Start a conversationWork & Projects
A personal AI companion built on local LLMs with adaptive memory, multi-modal interaction, and strict data sovereignty. Designed as a long-running inference system — not a chat wrapper.
Full homelab stack — Unifi networking, VLAN segmentation, Tailscale mesh, Kubernetes-like container orchestration, NAS, and monitoring across macOS, Windows, and Linux nodes.
Community and resource platform — forums, wiki, library, and status tooling. Multi-page site deployed on Render. Currently in alpha with ongoing development.
Exploration of LLM-driven dynamic narratives for game environments. Dynamic story state that responds to intent, not just input — applied starting with Minecraft modpack development.
Additional work under active NDA or in early development. Reach out to discuss specific project types.
The Network
CyberFunkLabs is the technical core of a wider creative and technical collective.
cyberfunklabs.net
Community hub, forums, wiki, and resource library. Internal tools for the collective.
Alpha — Liveglitchcityarcade.com
Gaming portal for original browser-playable titles and community game nights.
Coming Soonsoulrotstudios.com
Creative studio for dark art, music, fiction, and tabletop campaign design.
Coming SoonContact
Available for project-based engagements, technical consulting, and custom build commissions. Response time varies by complexity — simple inquiries typically within 24 hours.
Include a brief description of the problem, your timeline, and any relevant technical context. The more specific, the faster we can help.