ClawFire is the enterprise management layer that makes AI work for entire organizations. Deploy, manage, and secure OpenClaw agent fleets — one dashboard, every device, total control.
Every company is scrambling to adopt AI. Without a management layer, it's chaos.
Marketing uses ChatGPT. Engineering is on Claude. Sales found some tool on Product Hunt. The CEO wants Gemini. No consistency, no control.
No visibility into what AI is doing, what data it's accessing, or what's being sent to third-party APIs. Legal is terrified.
95% of employees can't effectively use AI today. Only the most technical 5% can configure and leverage it. Everyone else is left behind.
AI agents siloed per person. No organizational intelligence. No way for teams to share knowledge through their AI.
No tracking of token costs, no budgets, no ROI measurement. Money disappearing into API calls with zero accountability.
Companies forcing everyone onto Microsoft Copilot — one tool for everything. That's giving every department a hammer and calling it a toolbox.
ClawFire serves everyone in your organization — from end users to the AI that manages it all.
Every employee gets a clean, ChatGPT-style web interface to chat with their assigned AI agent. Pre-configured for their role. No technical setup. Just log in and work.
IT admins get a bird's-eye view of every device, agent, and user. Deploy skills across teams, push configs, set guardrails, monitor spend, and audit every action.
An AI that manages your AI fleet via natural language. "Roll out the sales skill to west region." It orchestrates across every machine automatically.
The Fleet Helpdesk Agent has API access to every connected machine. Manage your entire fleet with natural language.
Which agents are consuming the most tokens this week?
The sales-outreach agent on Mac Mini 7 (SF office) has consumed 2.4M tokens — 3× the fleet average. It's running an aggressive lead scoring campaign. The support agent on Mini 12 is second at 1.1M. Want me to set a cap?
Yes, cap Mini 7 at 500K tokens/day. Also, roll out the new compliance skill to all legal team agents.
Done. Token cap set on Mini 7. Compliance-v2 skill deployed to 4 legal team agents across Minis 3, 9, 14, and 21. All healthy and confirmed.
From one device to one thousand. ClawFire grows with you.
Provision a new device in minutes. Admin clicks "Add Device," selects a profile — ClawFire downloads, configures, and connects automatically.
Create reusable profiles for Sales, Marketing, Engineering — each with tailored tools, skills, models, and guardrails. Push configs fleet-wide.
Centralized API key vault, full audit trails, permission tiers, and compliance controls. Your data never leaves your devices.
A clean, ChatGPT-like interface for every user. No terminal. No config files. Works inside and outside your network via Tailscale tunnels.
Track token consumption per user, team, and machine. Set budgets, get alerts, measure ROI. No more invisible AI spend.
Transfer projects between devices, share workspaces, manage automations fleet-wide. Your agents work together, not in silos.
No consultants. No migration projects. Just plug in and go.
Sign up, define your profiles and groups. Configure tools, models, and permissions from the dashboard.
Click "Add Device" — your Mac downloads ClawFire, installs OpenClaw, and connects via Tailscale. One click.
Users open their browser, start chatting with their AI agent. You monitor everything from one dashboard.
Devices
Dashboard
Terminal commands
Existing solutions solve pieces of the puzzle. ClawFire is the complete picture.
Cloud-only. One-size-fits-all. $30/seat/mo for a glorified autocomplete.
Great chat UI, but a single centralized service with no local option.
Jamf manages devices brilliantly but has zero AI capabilities.
Purpose-built for enterprise AI fleets. The complete solution.
Within 12–18 months, enterprise AI fleets will go from bleeding-edge to mainstream.
Apple M5 chips with dramatically more compute. A single Mac Mini will run models that today require $10K GPU clusters.
Open-source models are closing the gap fast. GPT-4-class models will run locally — no API costs, no data leaving the building.
Companies paying $30–50/seat/month for watered-down Copilot will realize they can own the entire stack at a fraction of the cost.
Be among the first to deploy ClawFire. Join the waitlist — we'll notify you when early access opens.
No spam. We'll only email you about early access.