Edge AI · IoT & Robotics · Autonomous Systems
Offline IoT & Robotics
Sovereign AI inference for robots, autonomous systems, and IoT deployments. Runs entirely on your edge hardware with persistent mission memory and zero cloud dependency.
Built for air-gapped, contested, and denied environments.
sent to the cloud
air-gap capable
edge queries, no metering
on-device inference
The Case for Edge AI
Real constraints.
Resolved at the edge.
What teams tell us
How we respond
Connectivity
"Our robots lose connectivity in the field and the AI just stops working."
Zero connectivity required. All inference runs on-device from first boot to mission complete.
Data Sovereignty
"Sending sensor data and telemetry to the cloud violates our data sovereignty policy."
All sensor processing and AI reasoning stays on-device. Zero external transmission by architecture.
Latency
"Cloud latency makes real-time autonomous decisions impossible."
Sub-millisecond local inference. No round-trip. Decisions happen at the sensor.
Cost at Scale
"We pay per API call for AI features — costs are unpredictable at scale."
Perpetual edge runtime. Unlimited inference. One flat cost regardless of fleet size or query volume.
License
Perpetual Edge Runtime
Optional Annual
Support & Model Refreshes
Mission Memory
Operational knowledge that compounds across missions
Every mission run, sensor event, and decision log adds to a persistent, queryable memory layer stored entirely on-device.
Mission Memory Index
Fleet Accumulated Operational Knowledge
4,821
Mission events logged
312
Missions completed
98
Anomalies detected
0
Bytes transmitted externally
Knowledge compounds with every mission. Zero bytes ever leave your hardware.
Offline IoT AI eliminates connectivity risk through edge-native architecture. No network means no exposure, no latency, no failure mode.
Edge-Native Inference
Runs entirely on your embedded hardware — x86, ARM64, NVIDIA Jetson, Raspberry Pi, and custom SoCs. No connectivity required for any inference operation.
llama.cpp · x86 · ARM64 · Jetson · RISC-V · GPU offload
Autonomous Decision Making
Deploy AI reasoning loops that operate without a cloud backend. Robots and IoT systems make local decisions using on-device models with persistent context.
Closed-loop control · Local reasoning · Zero-latency decisions · Sensor fusion
Persistent Mission Memory
Every mission run, sensor event, and operational log contributes to a queryable memory layer stored entirely on the device. Context compounds across deployments.
SQLite · On-device vector store · Cross-mission recall · Structured event logs
Multi-Modal Sensor Intelligence
Process vision, lidar, telemetry, and structured sensor streams through a unified AI layer. No data leaves the device boundary.
Vision · LiDAR · IMU · CAN bus · MQTT · Custom sensor APIs
Air-Gap & Contested Environment Ready
Designed for denied, degraded, and disconnected environments. Operates with zero network dependency from first boot to mission completion.
No connectivity required · CMMC-aligned · D3 environment tested · Secure boot
Fleet Telemetry & Reporting
Aggregate operational telemetry and AI decision logs locally. Generate structured mission reports exportable to your ground control system.
JSON · CSV · MQTT export · Ground station sync · Offline-first logging
Mission Workflow
From deployment to debrief, entirely on-device.
Configure mission context
Launch Offline IoT AI → New Mission → set objective, environment type, and sensor configuration. All stored locally.
Load your model
Select or download an open-source model suited to your hardware. ARM64, Jetson, or x86 — hardware-aware recommendations auto-applied.
Deploy and run
The AI inference loop starts on-device. Sensor streams feed directly into the local model. Zero network calls during operation.
Real-time decisions
The system reasons on live sensor data and executes autonomous decisions — obstacle avoidance, anomaly flagging, route correction — all locally.
Debrief and export
Mission complete — generate a structured report from the on-device log. Export as JSON or PDF for ground control or compliance records.
Defense & Military Robotics
Industrial Automation Teams
Autonomous Vehicle Programs
Critical Infrastructure Operators
Agricultural Robotics Teams
Aerospace & UAV Programs
You choose the model.
It runs on your hardware.
Browse and download open-source AI models directly inside the app. Switch models between missions to match the task — a lightweight model for real-time control, a larger one for post-mission analysis. Once downloaded, zero internet required.
Sovereign edge intelligence.
Starting today.
Deploy the Offline IoT AI runtime on your hardware and run your first mission in minutes. No account required. No data transmitted.