Deploy & “Declaw” OpenClaw in 2 minutes. Zero setup. Enterprise security. 24/7 uptime.

Trusted by forward-thinking engineering teams
AI agents are powerful — and dangerous without proper containment. Running them on bare metal is like giving an intern root access to production.
AI agents need root access to run skills, tools, and integrations. Without sandboxing, one misconfigured agent can compromise your entire network.
One bad plugin can exfiltrate data, inject prompts, or hijack your agent's identity. Community skills are the new supply-chain attack vector.
A bare-metal crash takes hours to diagnose. Meanwhile, your agent is offline, your workflows are broken, and your team is blocked.
| Feature | Dedicated Hardware | Codiac Container |
|---|---|---|
| Cost | $700+ in hardware to buy and babysit | Persistent, always-on, zero hardware |
| Access | Full system access to a real machine | Agent only touches the container’s internals |
| Risk | One bad skill = full system exposure | Isolated Kubernetes sandbox — contained |
| Scalability | Single instance, hard to scale | Multiple instances per agent or workflow |
| Management | No snapshots, rollback, or visibility | Version control, rollback, full visibility |
By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously.
— Gartner, 2024
One platform. Zero infrastructure headaches.
npm install, codiac deploy. Your agent is live in under 2 minutes.
Kubernetes pod isolation. Each agent runs in its own sandbox with zero lateral movement.
99.9% uptime SLA. Auto-restart, health monitoring, zero babysitting.
A hub-and-spoke architecture that connects your agent to every channel.
Routes messages from Slack, Teams, Web, and more into a unified protocol your agent understands.
Containerized OpenClaw with skills, memory, tools, and LLM orchestration running in an isolated Kubernetes pod.
Vector DB, session history, audit logs — all encrypted at rest and in transit.
If a skill misbehaves, the damage stays in one container. Your host, data, and other services remain untouched.
Spin up as many OpenClaw instances as you need—one per project, one per workflow, or one for experiments.
Every deploy is versioned. Roll back to any previous state in seconds if something goes wrong.