Private AI — OpenClaw
An AI agent that does real work — on hardware you own.
OpenClaw is the open-source agent platform that connects to the chat, email, and tools your team already uses and actually completes tasks. We install it, wire it to local models, fence it in, and keep it running — in your office or our data center.
What OpenClaw is
A privileged employee with an API key. We treat it like one.
OpenClaw runs as a gateway between your team and a large language model — local or online — and gives the agent tools: file access, email, calendars, messaging channels, scripted tasks. That's exactly what makes it useful, and exactly what makes it dangerous if it's installed by whoever got excited about it first. Our deployment assumes the agent will eventually be attacked, misused, or simply misconfigured — and is built to contain all three.
Channel integration
OpenClaw connects to the places work already happens — chat, email, messaging. We wire the channels you approve and nothing else, with every message logged.
Local-first model wiring
The agent's brain runs on Ollama on your own GPU node, or on a frontier model through our policy gateway when a task genuinely needs it. You choose per task, not per accident.
Sandboxed permissions
Explicit allowlists — which folders, mailboxes, systems, and tools this agent may touch. Deleting an agent's rights takes one ticket, like any offboarding step.
Full audit trail
Every tool call, file read, and send lands in the same centralized logging we run for SOC 2 evidence. "What did the agent do on Tuesday?" is a one-minute answer.
Credential vaulting
The agent's API keys and accounts live in a vault, tied to named owners — never shared logins, never a key in a config file someone screenshots.
Updates without surprises
OpenClaw moves fast. We stage updates, read the changelogs, and roll them out on a schedule — so a Tuesday update never breaks your Monday.
How we set it up
Five steps from "we want an agent" to one that's safe to keep.
Scope the work
What tasks should the agent do, against what data, through which channels — and what must it never touch. This conversation produces the permission design.
Typical: 1 week
Provision the host
A server in your office or a GPU node in our data center — sized to the model you'll run. Most OpenClaw workloads share a node with Ollama.
Typical: 1–2 weeks
Install and wire
OpenClaw installed and current, credentials vaulted, model connected — local weights for private work, gateway for frontier models. Channels connected and tested.
Typical: 1 week
Fence and log
Allowlists applied, agent VLAN segmented, egress rules set, every action flowing to the central log. We test the fences by trying to break them.
Typical: 1 week
Operate
NOC monitoring, staged updates, monthly permission review, quarterly "what did the agents actually do" report — and the logs are SOC 2 evidence, already collected.
Ongoing
Hosting
We can host the whole thing.
Don't want a server humming in your office? We host OpenClaw — and the local model runtime behind it — on GPU nodes in our data center: A+B power, N+1 cooling, 24/7 NOC monitoring, and your data inside our four walls. It's the same colocation floor we run for everyone, with the agent stack managed on top. Because we also run your network and your SOC 2 controls, the compliance story writes itself.
Permissions, segmentation, and logs are the difference between an assistant and an incident.
Tell us what you want the agent to do.
We'll come back with a permission design, a hardware recommendation, and a fixed price to stand it up — in your office or ours.