Neura Parse

Smart factory AI for
Industry 4.0

ROS2-native robotics, predictive maintenance, and edge AI for smart manufacturing. Sub-millisecond control loops, OPC UA integration, and multi-robot fleet coordination — all running at the edge.

factory-control-01
$ neuraos fleet --status
✓ Kernel: PREEMPT_RT 6.12 LTS
✓ ROS2 Jazzy: 24 nodes active
✓ Fleet: 8 robots coordinated
✓ OPC UA: 3 PLCs connected
✓ Vision: 12 cameras streaming
All systems nominal — control loop <0.6ms
$ _
Industrial robotic arms operating in a modern smart factory

Industrial programs connect robotics, PLC integrations, predictive maintenance, and edge AI into a clear operational architecture.

ROS2-native
OPC UA ready
Multi-robot fleet
Live model
1

PLC

OPC UA

2

ROS2

<1ms loops

3

Edge AI

Fleet orchestration

4

MES

OPC UA

Signal

OPC UA

Signal

<1ms loops

Signal

Fleet orchestration

Click any layer to see the components, integrations, and operational guarantees from the robot controller all the way up to the operations workflow.

6 layers

Same image runs on cell controllers, line gateways, and rack-mounted plant servers — DDS Security and TPM 2.0 attestation across all of them.

Production scheduling, quality escalations, predictive-maintenance alert triage, supplier coordination — orchestrated as workflows that bridge MES, ERP, and AI services.

MES + ERP integrations
Quality escalation routing
Predictive-maintenance alert triage
Supplier / parts ordering
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Native Fast-DDS 3.2 integration for ROS2 Jazzy with DDS Security. Multi-robot coordination, path planning, and task allocation across warehouse and production environments.

AI-powered anomaly detection with emlearn and Apache TVM. Real-time vibration analysis, thermal monitoring, and failure prediction to reduce downtime by up to 70%.

Real-time defect detection with ncnn and MediaPipe. Surface inspection, dimensional analysis, and assembly verification at 100+ parts per minute with 99.9% accuracy.

A real-time Linux kernel purpose-built for factory automation. PREEMPT_RT deterministic scheduling, ROS2 Jazzy with Fast-DDS, and edge AI inference — all in 64MB of RAM.

Deterministic <1ms control loops for safety-critical automation

Connect PLCs, SCADA systems, and factory sensors natively

NPIE v2.0.0 with 12 backends: LiteRT, ONNX Runtime, NCNN, OpenVINO, ExecuTorch, llama.cpp, and QuEST

Trigger, route, and monitor factory workflows across operators and systems

From warehouse logistics to precision assembly, NeuralOS powers the next generation of smart factories.

5 / 5

AMR / AGV fleet for picking, replenishment, and cross-docking. Centralised dispatcher with NowFlow handles task allocation, charge cycles, and exception handoff.

< 1 ms control · < 50 ms dispatch1k–10k tasks/dayWMS · OPC UAJetson AGX Orin · Cat-1 lift8–14 months

Per-station defect detection on the conveyor. Reject decisions in <50 ms, line-rate logging to MES, drift-monitoring alerts trigger NowFlow escalation.

< 50 ms classify100–600 parts/minMES + OPC UAJetson Orin Nano + 4K camera6–10 months

Vibration + acoustic + thermal models on rotating equipment. NPIE runs the model on the gateway; NowFlow opens a work order and assigns to the right technician.

Periodic100s of assets/gatewayCMMS · MQTT 5Industrial PC + sensor pack10–18 months

Real-time twin of a cell or whole plant — DDS topics from robots and PLCs, simulation runs in parallel, what-if scenarios planned through NowFlow.

Soft real-timeUp to 50 cells / twinDDS · OPC UA · MESIndustrial PC cluster12–24 months

Air-gapped cells where the model must run on-device. Fully offline NPIE inference, signed audit log to USB stick or local network share.

< 50 ms classifyPer-cellLocal share / USBJetson Orin Nano4–8 months

From pilot line to full-scale deployment — NeuralOS powers smart manufacturing with real-time AI at the edge.