Air-Gapped AI Deployment

Run vision models and Workflows on your own hardware inside isolated networks, with production images and results that never leave the site.

Air-Gapped AI Deployment for the Toughest Plants, Labs, and Secure Facilities

  • Deploy Anywhere, Run Everywhere

    Run vision models on CPUs, NVIDIA GPUs, and Jetson devices inside a fully air-gapped site, an isolated plant LAN, or a network with restricted egress through a Secure Gateway.

  • One Platform, Full Adoption

    Tools every team can adopt, from quality and controls engineers to IT and OT security, with one platform from labeling and training to offline deployment, no separate ML team required.

  • Secure, Compliant, and Audit-Ready

    Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA, plus Enterprise workspace data that is never used for data licensing and a Data Sovereignty Guarantee in the US or EU.

  • Fully Offline Inference
  • Isolated Plant Networks
  • Secure Gateway Egress
  • On-Site Model Caching
  • Local PLC & OPC UA Output
  • Data Sovereignty (US or EU)
“The vision AI solutions we developed with Roboflow have been a core component of connecting our teams and unlocking their ability to collaborate.”

Lou Stocco

Director of Manufacturing Advanced Analytics, USG

Talk to a Vision AI engineer who's shipped in air-gapped and regulated environments.

Bring us your network constraints and we'll map a working offline deployment.

Ask us about:

  • Solution architecture that fits your network, cameras, and edge hardware
  • A live demo on your own images
  • Deployment options: fully air-gapped, isolated LAN, Secure Gateway, on-prem, or VPC
  • ROI modeling against inspection labor, escapes, and downtime

Over 16,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

  • Automotive customer

    $10 million

    Saved by automatically detecting defects on the production line

  • Logistics & freight company

    90%

    Less time spent manually tracking shipping inventory

  • Building materials supplier

    60%

    Lower customer return rate with improved product quality

Run Every Model Offline, from First Cache to Full Production

Bring vision AI inside the fence with Roboflow air-gapped AI deployment. Built for manufacturers, defense and government suppliers, labs, and critical infrastructure operators, where production networks are isolated by design, images cannot leave the site, and every system on the floor has to pass an IT and OT security review.

Choose your connectivity:

  • Run fully air-gapped, with models and updates moved in through a planned file transfer process.
  • Run on an isolated plant LAN, where cameras, edge devices, and PLCs talk to each other and nothing else.
  • Run with restricted egress, where only a Secure Gateway reaches Roboflow and every other device stays offline.

Cache and run on site:

  • Deploy the Roboflow Inference Server in Docker with a persistent cache volume. Model weights and Workflow definitions are cached on the first connected run, then served from the local cache with Offline Mode (opens in a new tab).
  • Keep models current with a 30-day lease on cached weights, which starts renewing automatically when fewer than seven days remain.
  • Run on the hardware you already approve: CPU servers, NVIDIA GPUs, or Jetson devices at the edge.

Connect to the plant:

  • Send pass and reject signals to your PLC over OPC UA, Modbus TCP, or EtherNet/IP on the plant network.
  • Keep RTSP camera streams, images, and results on your own servers, the same way teams run on-premise computer vision at remote sites.
  • Set up a planned process to move selected production images out for retraining, so models keep improving without opening the network.

Bring vision AI inside the fence today. Keep every image and every decision on site.

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Frequently asked questions

What is air-gapped AI deployment?

Air-gapped AI deployment runs vision models and Workflows on hardware inside a network that is isolated from the internet, so camera images, inference results, and production data stay on site while the model makes decisions in real time.

How do models stay current without an internet connection?

Cached model weights carry a 30-day lease. Renew it through a Secure Gateway, a scheduled connection, or your file transfer process, and bring in retrained models the same way.

What hardware does it run on?

The Roboflow Inference Server runs in Docker on CPU servers, NVIDIA GPU servers, and NVIDIA Jetson devices, so you can deploy on industrial PCs and edge hardware your security team already approves.

Can it integrate with our PLC and plant systems?

Yes. Workflows send results to PLCs over OPC UA, Modbus TCP, and EtherNet/IP, and to MES, historians, and dashboards on the plant network, without any traffic leaving the site.

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