Run AI on Your Own Hardware. Zero Data Leaves Your Network.
We would turn your on-premise hardware or rented cloud GPUs into high-speed, private OpenAI-compatible endpoints. Ready for team-wide Cursor and internal tooling with zero data leaks.
Choose Your Deployment Path
We believe in giving solo builders free help to run models locally, while providing full deployment solution for organizations with strict compliance.
For Solo Developers & Builders
Free engineering diagnosis for your personal Mac or GPU workstation.
- Analyzing your rigSystem audit of your VRAM, system memory, and compute limits to determine what actually fits.
- Model & optimization techniquesRecommendations on what models to run with tuning recipes balanced for quality and speed.
- Helping with errorsDirect diagnostics for engine crashes, CUDA OOMs, low tokens/sec, or editor connection bugs.
For Teams, Startups & Businesses
Complete on-premise hardware or rented cloud GPU setup. Private OpenAI-compatible API endpoints with maximum throughput.
- On-premise hardware or rented cloud GPUs
- Ollama & llama-server deployment tuned for concurrency and full context window
- Private OpenAI-compatible API endpoint to use with coding tools and scripts
- Advanced llama.cpp memory optimization
What We Set Up For You
A production-ready private AI stack that runs entirely on your infrastructure, tested and tuned for high throughput.
An Optimized Local API Endpoint
A private OpenAI-compatible API endpoint you can use instead of cloud APIs, with zero data leaving your network.
Tuning for Maximum Performance
We apply different optimizations to squeeze maximum tokens/sec and output quality, from your system.
On-Premises or Cloud GPU Setup
Deployed cleanly on Mac Studio, NVIDIA-GPU workstations, or rented cloud GPUs (Lambda Labs, RunPod, Vast.ai).
Who This Is For
From data-regulated industries to businesses replacing expensive third-party cloud APIs.
Businesses Wanting Private AI
Companies that want private, dedicated models on their own hardware or cloud GPUs instead of sending data to public cloud vendors.
Data Compliance & Regulations
Organizations bound by HIPAA, GDPR, legal privilege, or client NDAs where data is legally forbidden from leaving the network.
Software Teams & Agencies
Development teams protecting proprietary IP and client codebases while coding with team-wide Cursor, VS Code, and internal tools.
Cutting High Cloud API Bills
Companies spending thousands monthly on OpenAI or Anthropic tokens looking for fixed, predictable infrastructure costs.
The 3-Step Deployment Process
From hardware audit to Private-Ai setup in under a week.
Usage & Hardware Audit
We analyze your usage, expected concurrency, target models, and confirm your existing hardware or provide an exact procurement list.
Remote Setup & Performance Tuning
We configure Ollama or llama-server, optimize GPU offload flags, tune KV cache quantization (Q8_0/Q4_0), and expose the private OpenAI-compatible endpoint on your machine.
Handoff & Verification
We verify token throughput (tokens/sec), test multi-user concurrency, wire your team's IDEs (Cursor/VS Code) to the private endpoint.
Request Private AI Setup
Tell us about your team and infrastructure. We reply within 24 hours.