Dedicated RTX GPU workstation with local LLM inference. Zero cloud dependency, full data sovereignty.
We build, deploy, and support local AI systems tailored to your organization's specific needs — from a single workstation to a full multi-agent team. Projects typically start around $8,000 depending on scope.
Our on-prem solutions are custom-built, so pricing varies based on your needs. As a general guide:
Every project is different — contact us for a detailed quote based on your specific requirements.
We assess your workload requirements and recommend the right hardware. From compact workstations to high-throughput GPU clusters for running multiple AI agents simultaneously.
Our team configures, trains, and deploys AI agents using our proprietary training data and system configurations — built specifically around your operational needs.
We handle everything: hardware procurement, software installation, agent deployment, testing, staff onboarding, and ongoing maintenance.
Every project is different. We start with your goals, not a spec sheet.
| Phase | What Happens |
|---|---|
| Needs Assessment | We learn about your operations, security requirements, and what you need the AI to do. We recommend hardware and model configurations based on real workload — not generic specs. |
| Solution Design | Our team designs a complete system: hardware selection, AI agent configuration, integration with your existing tools, and deployment plan. You receive a detailed quote covering everything. |
| Build & Deploy | We procure hardware, configure the local LLM environment, build custom agents trained on our proprietary data, install at your site (or ship configured), and run full testing. |
| Onboard & Support | Your team gets hands-on training. We provide ongoing support, updates, and can scale the system as your needs grow. |
CCTV analytics, suspect identification, incident response triage.
Evidence processing, pattern detection, multi-source correlation.
Access control analytics, anomaly alerts, automated incident reports.