The Complete ML Platform
at the Tactical Edge.
Edge-Native AI Factory for Disconnected Operations
A complete machine learning platform that deploys to a single device at the network edge. Train, serve, and monitor models where your data lives—no cloud required.
Enterprise ML platforms assume datacenter infrastructure and persistent connectivity. Your mission operates at the tactical edge. Reactor delivers the full ML lifecycle - data ingestion through model serving - on hardware you can carry into contested, disconnected, and austere environments.
CURRENT CHALLENGE
Enterprise ML Can't Deploy Forward
Current ML platforms assume datacenter infrastructure and persistent connectivity:
Cloud Dependency:
Training and inference require continuous network accessInfrastructure Requirements:
Kubernetes clusters, GPU farms, and storage arraysSecurity Constraints:
Sensitive data cannot leave tactical environmentsOperational Complexity:
MLOps requires specialized teams at central sites
OUR SOLUTION
AI Factory That Fits in a Pelican Case
Reactor packages the complete ML lifecycle into a single deployable unit:
✓ Single-Device Deployment:
Complete platform on one edge compute device
✓ Fully Disconnected:
Train and serve models without any connectivity
✓ GitOps-Managed:
Declarative config with offline update bundles
✓ Zero-Trust Security:
mTLS, encrypted secrets, air-gapped by design
Why Reactor?
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Single-Device Deployment
Complete ML platform on one edge compute device. No racks, no datacenter, no external dependencies.
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Fully Disconnected Operation
Train and serve models without any network connectivity. Air-gapped by design, not as an afterthought.
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GPU-Accelerated
Native support for NVIDIA DGX systems. Distributed training with PyTorch, TensorFlow, and XGBoost.
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GitOps-Managed
Declarative configuration with Flux. Reproducible deployments, version-controlled infrastructure.
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Zero-Trust Security
mTLS everywhere, identity-aware access, encrypted secrets. Secure by default.
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Optional Connectivity
When networks are available, secure tunnel access for remote management without exposing ports.
Target Environments
Reactor operates where traditional ML platforms can't.
GitOps-Native Operations
Reactor's entire configuration lives in Git. Flux continuously reconciles cluster state with your repository. Change a value, push a commit, and the platform updates itself—whether you're connected or carrying updates on a secure transport device.
Bring ML to the Mission
Ready to deploy enterprise ML capabilities at the tactical edge?