AirLock OS

The operating system for autonomous manufacturing. AirLock OS orchestrates machines, tools, data, and people into a secure, adaptive, scalable manufacturing ecosystem.

  • Hardware Agnostic
  • Secure By Design
  • Built For Autonomy
  • Modular & Scalable
  • Edge To Cloud

One OS. Every Environment. Any Mission.

AirLock OS provides a unified interface and intelligence layer across distributed hardware and remote locations.

Machine AgnosticConnect and control any machine, any brand, anywhere.50+ Drivers Included
Job OrchestrationPlan, schedule, and execute complex manufacturing workflows.Multi-Asset Coordination
Data & AnalyticsReal-time insights and historical data for continuous improvement.Edge + Cloud Analytics
Autonomy LayerAI-powered decision making and adaptive process control.Self-Optimizing Systems
Security FirstZero-trust architecture and encryption everywhere.MIL-STD Inspired Security

Architected For Autonomy

AirLock OS operates across a layered architecture designed for reliability, resilience, and scale.

  • Application LayerDrivers, protocols, data
  • Intelligence LayerDrivers, protocols, data
  • Orchestration LayerDrivers, protocols, data
  • Connectivity LayerDrivers, protocols, data
  • Hardware LayerMachines, sensors, tools

Built For Developers

Extensible APIs, SDKs, and tools to build on the AirLock OS platform.

  • REST and gRPC APIs
  • Python and C++ SDKs
  • Webhooks and events
  • Plugin architecture
  • Open standards
from airlock import Client

client = Client(api_key="...")
job = client.jobs.create(
  name="Bracket-1021",
  workflow="cnc_mill",
  machines=["M-07", "CNC-91"],
  priority="high"
)
print(job.status)

Designed To Endure

Offline FirstOperate with or without connectivityEdge autonomy
Fault TolerantBuilt to recover and keep runningResilience
Modular UpdatesUpdate components without downtimeMaintainable

System Status

28Active NodesOnline
142Online MachinesAvailable
2.48MData Packets / SecTelemetry

Agent Interface

AI agents are first-class users. Every core website workflow has a structured route, stable action name, and schema surface.

Read llms.txt

Inspect Site Manifest

Read core company positioning, page index, products, and available agent actions.

{ "id": "site.inspect", "title": "Inspect Site Manifest", "description": "Read core company positioning, page index, products, and available agent actions.", "method": "GET", "path": "/api/site", "auth": "none", "humanReviewRequired": false, "inputSchema": null, "outputSchema": { "type": "object", "required": [ "site", "pages", "products", "agentActions" ] } }

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