We deploy and maintain your private AI infrastructure — on your hardware, hardened from day one.
White-glove Private AI deployment for founders and exec teams. Stop burning engineering hours on configs and security patches — we handle the install, hardening, integrations, and ongoing care. Built for 4–50+ employee teams where the CEO/CFO/Head of Sales needs leverage without creating new security risk.
We fly to you and set it up — Collison install style.
“Genuinely the most incredible sci-fi takeoff-adjacent thing I have seen recently.”
— Andrej Karpathy, former Director of AI at Tesla
Connects to
What's an “Executive Agent”?
1 Executive Agent = 1 dedicated AI instance configured for one primary identity (CEO inbox/calendar, CFO inbox, Head of Sales, shared EA inbox). This keeps pricing fair and security boundaries clean. Most 4–50 employee teams deploy 2–6 agents.
Implementation
One-time setup. We fly to you, deploy your cluster, and don't leave until your cluster is operational.
Hardware provided at cost. Frontier models need 400–800 GB of RAM to run at full precision — your cluster runs every machine in parallel, so nothing is wasted. More machines means faster inference, and extra RAM capacity future-proofs you for next-generation models. Service fee covers travel, deployment, security hardening, and 14-day hypercare. Performance characteristics depend on model selection and workload.
Book a free 20-minute consultation →Managed Care
Ongoing monitoring, updates, and priority support. Your infrastructure, professionally managed.
Models evolve fast — new releases drop every few weeks. Managed Care keeps your cluster current with tested rollouts, continuous monitoring, and engineering time on call so your team doesn't have to manage the infrastructure.
Care Standard
$2,450/monthKeep your cluster healthy without hiring in-house. We monitor performance, roll out updates, and stay one Slack message away when something needs attention.
- —Up to 2 agents
- —Continuous monitoring & alerting
- —New model rollouts as they release
- —Software updates & security patches
- —Dedicated Slack Connect channel
- —2 hours/month included engineering time
- —Quarterly health & performance report
How It Works
Kickoff
We align on your goals, map your systems, and plan the deployment in a focused session.
Deploy
Install, harden, integrate, and go live. Most clusters are fully operational within 48 hours of on-site arrival.
Hypercare
14 days of tuning, monitoring, and optimization to ensure stable, reliable operation.
Why Teams Hire Us
The tools we use are open-source — you could set them up yourself. But configuring multi-node Mac Studio clusters with proper network isolation, security hardening, and production-grade inference takes experienced engineering, even for strong technical teams. We handle everything: installation, hardening, integrations, and ongoing maintenance, following official guidelines so you don't have to maintain another internal project. Think of it like the Collison Install — we show up, handle execution, and don't leave until your cluster is operational.
Why Private AI
Why Private AI Matters
Every prompt you send to a cloud AI service is data you no longer control. Every subscription renewal is leverage someone else holds over your operations.
Mac Studios put sophisticated compute where the data lives. Run 24/7 on hardware you own — no AI provider looking at or training on your data, no usage caps, no unnecessary bills.
Your inference stays in your building. We harden everything else.
On-Premise by Default
Inference runs on hardware you own, in your building. When integrations require external calls, we configure them with least-privilege access and document every connection.
Frontier Performance
Run frontier open-source models — locally. No rate limits, no usage caps, no throttling.
Physical Security
Hardware you can see, touch, and lock in your own server room. Air-gapped configurations available when your environment requires it.
Total Ownership
No cloud bills. You own the hardware, the software, and every inference.
Why local AI?
FAQ
We deploy Mac Studio clusters — purpose-built hardware for private LLM inference. Inference runs locally on hardware you own. When integrations connect to external services, we configure them with the minimum access required.
Installation and security hardening, network isolation, cluster configuration, inference framework setup, documentation, and 14 days of hypercare. We handle the full deployment — from unboxing to production.
Most deployments go from arrival to fully operational within 48 hours. We come on-site, deploy your cluster, load models, configure model parallelization across nodes, and stay on-site until your cluster is operational and verified.
Every engagement includes a dedicated Slack Connect channel and 14 days of hypercare. For ongoing support, our Managed Care plans provide continuous monitoring, updates, and priority engineering time.
Temporary physical access to your server room or designated space, network credentials for isolation setup, and any system accounts for integration. We apply least-privilege principles and recommend credential rotation after go-live.
AI is never 100% safe — these systems have access to your data by design. We follow official hardening guides for every tool in the stack, apply least-privilege access to all integrations, and run a security audit before we consider the deployment finished. Inference stays on your hardware. When integrations connect to external services, we configure them to pass your security review.
Inference runs entirely on your hardware — prompts and responses stay on your network. If you connect integrations like email or calendar, those services are external by nature. We configure every integration with least-privilege access and document all data flows so your security team can review exactly what connects where.
Talk to Michael
Book a free 20-minute consultation. No pitch, no pressure — just a direct conversation about what private AI infrastructure can do for your team.
Book a free 20-minute consultation →