Centralised Cloud Dependency
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
AINNA · NEURALOPS · INDUSTRIAL EDGE
NeuralOps Detached Industrial Intelligence
From sensor and instrumentation to control, vision, edge intelligence and robotics.
Industrial intelligence stays close to machines and assets instead of forcing every raw signal and engineering decision into a central cloud.
SENSORSRGB · THERMAL · VIB · PT · FT
EDGE INTELLIGENCETinyML · signal features
PLC / C&IPID · sequence · interlock
DETACHED INTELLIGENCERAG · memory · RCA
ROBOT / EQUIPMENTGoverned physical operation
02 · INDUSTRIAL PROBLEM
Industrial data exists. Context often does not.
Centralised architectures can move too much raw data while leaving instruments, control, vision and maintenance knowledge disconnected.
Excessive Raw Data Transfer
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
Reactive Maintenance
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
Siloed Instrumentation
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
Disconnected Vision Systems
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
PLC Without Contextual Intelligence
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
Vendor Fragmentation
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
Limited Offline Intelligence
Engineering consequence visualised as an architecture constraint, not a fabricated customer outcome.
03 · FIVE-LAYER ARCHITECTURE
Signal upward. Governed intelligence downward.
Click a layer to inspect its role. AI recommendations must pass through approved control policy and deterministic control.
MEASUREMENT + CONTEXT ↑
↓ RECOMMENDATION → APPROVED POLICY → PLC / DCS
AI does not replace deterministic safety-critical control.AI / Detached Agent → Recommendation → Approved Control Policy → PLC / DCS / Robot Controller → PID / Sequence / Interlock / Safety → Physical Equipment
04 · EDGE AI AT INSTRUMENT LEVEL
Process close to the source.
Transmit intelligence, not unnecessary raw data.
Accelerometer
↓10,000 samples/secIllustrative raw stream
↓Local Feature ProcessingRMS · Peak · Dominant Frequency
↓TinyML1D-CNN · Autoencoder · Tree models
↓NORMAL / IMBALANCE / MISALIGNMENT / BEARING ISSUEAnomaly score + equipment state
05 · RGB + THERMAL + SENSOR FUSION
Weak signals become stronger context.
Pump visually normal
Vibration +32%Motor Current +11%Flow -8%
Probable Bearing Degradation
89% simulated confidenceFusion example only; not a validated failure-prediction claim.
06 · CONTROL & INSTRUMENTATION
Supervisory intelligence beside deterministic control.
↓PLC / DCS↓PID / SEQUENCE / INTERLOCK↓Valve · VFD · Motor
Deterministic Control
PLC, DCS, SIS, PID, sequence, permissive and interlock remain authoritative.
AI Supervisory Intelligence
Correlates history, condition and manuals, then proposes a reviewable recommendation.
07 · AI INSTRUMENT AGENT
PT-101 becomes a contextual asset.
PT-101 · SIMULATED
Pressure Transmitter Agent
6.21 bar- Health
- 79%
- Potential zero drift
- +0.08 bar
- Last calibration
- 247 days
- Correlation
- Inconsistent with PT-102
TRANSMITTER→CONTEXT→INSTRUMENT AGENT
08 · EQUIPMENT AGENT
Pump P-101 Detached Agent
PT-101FT-101TT-101VIB-101Motor CurrentThermal CameraMaintenance History
P-101LOCAL AGENT
- Equipment Health
- 68%
- Current Condition
- Degrading
- Anomaly Score
- 0.79
- Predicted Mode
- Bearing degradation candidate
- Recommendation
- Approved inspection workflow
- Production Impact
- Potential downtime risk
09 · AGENT HIERARCHY
Summaries move upward, not raw-data floods.
Instrument Agentvalidated summary + provenance
Equipment Agentvalidated summary + provenance
Process Unit Agentvalidated summary + provenance
Plant Agentvalidated summary + provenance
Engineering Agentvalidated summary + provenance
10 · EDGE VISION
Machine perception with local engineering context.
Model families are architectural examples, not exclusive dependencies.
Object Detection
YOLO / compact detector · small VLM / Qwen-VL where justified
Defect Detection
custom CV / segmentation · small VLM / Qwen-VL where justified
PPE Detection
vision policy observation · small VLM / Qwen-VL where justified
Thermal Hotspot
thermal detection model · small VLM / Qwen-VL where justified
Robot Vision
pose + object context · small VLM / Qwen-VL where justified
Quality Inspection
rule + vision fusion · small VLM / Qwen-VL where justified
Human / Machine Interaction
zone and activity context · small VLM / Qwen-VL where justified
Safety Observation
advisory observation only · small VLM / Qwen-VL where justified
11 · ROBOTICS
Robotic intelligence remains behind the safety gateway.
AMR
RGB + THERMAL
Vision + Sensors + Machine History↓Detached Robotics Agent↓Safety Gateway↓Robot Controller↓Robot
12 · SMART ROUTING
Use expensive reasoning only when required.
Camera 30 FPS↓Fast Vision Model↓Normal?
YESLog only
NOSmall VLM → deeper analysis? → Detached Agent → RAG + History → Root Cause Analysis
13 · OFFLINE / DETACHED OPERATION
Cloud loss does not stop local industrial operation.
PLANTHQCLOUD
INTERNET: CONNECTEDSensor ProcessingPLC OperationAnomaly DetectionLocal VisionLocal RAGMachine MemoryDashboardEngineering Assistance
Reconnection performs controlled selective synchronisation, not uncontrolled raw-data dumping.
14 · PRODUCT FAMILY
Four product layers. One detached architecture.
NeuralOps Detached Industrial Intelligence
NeuralOps EdgeSense
Sensor intelligence, TinyML, instrumentation and condition monitoring.
NeuralOps EdgeVision
RGB, infrared, thermal vision and multi-modal sensor fusion.
NeuralOps Control Intelligence
PLC, DCS, SCADA and C&I supervisory analysis.
NeuralOps Robotics
Robot, cobot, AMR, drone and autonomous-equipment intelligence.
15 · INDUSTRIES
One architecture, different industrial constraints.
01ManufacturingManufacturing & Advanced Industry
Machine health and adaptive quality context. Capability remains architecture-defined and subject to site engineering.
02AutomotiveManufacturing & Advanced Industry
Robot-cell diagnostics and traceability. Capability remains architecture-defined and subject to site engineering.
03SemiconductorManufacturing & Advanced Industry
Tool health and thermal process context. Capability remains architecture-defined and subject to site engineering.
04Electronics / EMSManufacturing & Advanced Industry
Vision inspection and line intelligence. Capability remains architecture-defined and subject to site engineering.
05AerospaceManufacturing & Advanced Industry
Asset genealogy and controlled maintenance support. Capability remains architecture-defined and subject to site engineering.
06PharmaceuticalManufacturing & Advanced Industry
Process context and deviation support. Capability remains architecture-defined and subject to site engineering.
07Medical DevicesManufacturing & Advanced Industry
Inspection evidence and equipment monitoring. Capability remains architecture-defined and subject to site engineering.
08Food & BeverageManufacturing & Advanced Industry
Hygiene-aware equipment and cold-process monitoring. Capability remains architecture-defined and subject to site engineering.
09CementManufacturing & Advanced Industry
Kiln, mill and conveyor condition context. Capability remains architecture-defined and subject to site engineering.
10Steel & MetalManufacturing & Advanced Industry
Drive, furnace and rolling-line intelligence. Capability remains architecture-defined and subject to site engineering.
11Paper & PulpManufacturing & Advanced Industry
Web, roll and rotating-equipment monitoring. Capability remains architecture-defined and subject to site engineering.
12TextileManufacturing & Advanced Industry
Motor, loom and quality observation. Capability remains architecture-defined and subject to site engineering.
13Printing & PackagingManufacturing & Advanced Industry
Registration, defect and line-state intelligence. Capability remains architecture-defined and subject to site engineering.
14Oil & GasEnergy & Utilities
Rotating equipment and process anomaly context. Capability remains architecture-defined and subject to site engineering.
15PetrochemicalEnergy & Utilities
C&I correlation and maintenance reasoning. Capability remains architecture-defined and subject to site engineering.
16Power GenerationEnergy & Utilities
Turbine, pump and auxiliary-system intelligence. Capability remains architecture-defined and subject to site engineering.
17Renewable EnergyEnergy & Utilities
Distributed inverter and asset health. Capability remains architecture-defined and subject to site engineering.
18Water TreatmentEnergy & Utilities
Pump, chemical and water-quality context. Capability remains architecture-defined and subject to site engineering.
19WastewaterEnergy & Utilities
Aeration, flow and equipment monitoring. Capability remains architecture-defined and subject to site engineering.
20UtilitiesEnergy & Utilities
Local asset intelligence and selective synchronisation. Capability remains architecture-defined and subject to site engineering.
21Chemical ProcessingEnergy & Utilities
Controlled process intelligence beside deterministic control. Capability remains architecture-defined and subject to site engineering.
22Smart CityInfrastructure & Mobility
Distributed local infrastructure intelligence. Capability remains architecture-defined and subject to site engineering.
23RailwayInfrastructure & Mobility
Trackside, rolling-stock and depot monitoring. Capability remains architecture-defined and subject to site engineering.
24AirportsInfrastructure & Mobility
Baggage, facilities and airside equipment context. Capability remains architecture-defined and subject to site engineering.
25PortsInfrastructure & Mobility
Crane, yard and berth equipment intelligence. Capability remains architecture-defined and subject to site engineering.
26ConstructionInfrastructure & Mobility
Fleet, safety observation and equipment health. Capability remains architecture-defined and subject to site engineering.
27TelecommunicationsInfrastructure & Mobility
Edge-site power and environmental monitoring. Capability remains architecture-defined and subject to site engineering.
28MarineInfrastructure & Mobility
Vessel machinery and onboard detached assistance. Capability remains architecture-defined and subject to site engineering.
29ShippingInfrastructure & Mobility
Fleet asset memory and selective synchronisation. Capability remains architecture-defined and subject to site engineering.
30ShipyardInfrastructure & Mobility
Welding, lifting and production-cell intelligence. Capability remains architecture-defined and subject to site engineering.
31AgricultureAgriculture & Environment
Pump, climate and machinery intelligence. Capability remains architecture-defined and subject to site engineering.
32PlantationAgriculture & Environment
Distributed field equipment and processing assets. Capability remains architecture-defined and subject to site engineering.
33ForestryAgriculture & Environment
Remote equipment and environmental observation. Capability remains architecture-defined and subject to site engineering.
34Environmental MonitoringAgriculture & Environment
Local sensing and offline data continuity. Capability remains architecture-defined and subject to site engineering.
35AquacultureAgriculture & Environment
Water quality, aeration and feeding equipment. Capability remains architecture-defined and subject to site engineering.
36FisheriesAgriculture & Environment
Cold-chain and vessel equipment context. Capability remains architecture-defined and subject to site engineering.
37Disaster ManagementAgriculture & Environment
Offline sensing and local situational support. Capability remains architecture-defined and subject to site engineering.
38WarehouseLogistics & Supply Chain
Conveyor, sorter and AMR intelligence. Capability remains architecture-defined and subject to site engineering.
39LogisticsLogistics & Supply Chain
Fleet, hub and handling equipment context. Capability remains architecture-defined and subject to site engineering.
40Cold ChainLogistics & Supply Chain
Temperature integrity and refrigeration health. Capability remains architecture-defined and subject to site engineering.
41AMRLogistics & Supply Chain
Fleet state, route context and maintenance. Capability remains architecture-defined and subject to site engineering.
42Distribution FacilitiesLogistics & Supply Chain
Dock, conveyor and energy-system monitoring. Capability remains architecture-defined and subject to site engineering.
43Data CentreBuildings & Facilities
Cooling, power and equipment anomaly context. Capability remains architecture-defined and subject to site engineering.
44Smart BuildingsBuildings & Facilities
HVAC and facilities intelligence. Capability remains architecture-defined and subject to site engineering.
45Facilities ManagementBuildings & Facilities
Asset memory and maintenance coordination. Capability remains architecture-defined and subject to site engineering.
46RetailBuildings & Facilities
Refrigeration and site equipment monitoring. Capability remains architecture-defined and subject to site engineering.
47Hotels & ResortsBuildings & Facilities
Plant-room and facilities assistance. Capability remains architecture-defined and subject to site engineering.
48Healthcare FacilitiesBuildings & Facilities
Critical-facility equipment context without clinical claims. Capability remains architecture-defined and subject to site engineering.
49LaboratoriesResearch & Critical Operations
Instrument health and local knowledge support. Capability remains architecture-defined and subject to site engineering.
50Education / TrainingResearch & Critical Operations
Safe simulated industrial learning environments. Capability remains architecture-defined and subject to site engineering.
51Research CentresResearch & Critical Operations
Edge experimentation and equipment memory. Capability remains architecture-defined and subject to site engineering.
52Secure FacilitiesResearch & Critical Operations
Segmented local operation and controlled synchronisation. Capability remains architecture-defined and subject to site engineering.
16 · INTERACTIVE LIVE DEMO
Simulated industrial plant interface.
SIMULATED DEMO DATA · NO LIVE PLANT CONNECTION · NO ACTUATOR CONTROL
NORMAL
Nominal thermal profile
Pressure (bar)0
Flow (%)0
Temperature (C)0
Vibration0
Motor Current (%)0
RPM0
Equipment Health (%)0
Anomaly Score0
Normal Operation
RGB:
Reasoning:
Recommended action:
Production context:
17 · DIGITAL TWIN / SYSTEM MAP
Select an asset. Inspect its local context.
18 · QUALITATIVE BENEFITS
Engineering outcomes without fabricated percentages.
Lower Cloud Dependency
Potential architectural benefit, subject to site design and validation.
Reduced Data Transfer
Potential architectural benefit, subject to site design and validation.
Faster Local Response
Potential architectural benefit, subject to site design and validation.
Better Equipment Visibility
Potential architectural benefit, subject to site design and validation.
Predictive Maintenance
Potential architectural benefit, subject to site design and validation.
Improved Engineering Context
Potential architectural benefit, subject to site design and validation.
Offline Capability
Potential architectural benefit, subject to site design and validation.
Modular Deployment
Potential architectural benefit, subject to site design and validation.
19 · DEPLOYMENT MODELS
Intelligence scales from device to plant.
Embedded
TinyML directly in a sensor or device.
Edge Node
One dedicated edge computer per machine.
Cell
One detached node for several machines.
Plant
Plant-level intelligence aggregation.
Hybrid
Selective HQ or cloud synchronisation.
20 · INDUSTRIAL CYBERSECURITY & SAFETY
Controlled intelligence, segmented operation.
No certification claim is made.
AI ADVISORY
NO DIRECT ACTUATION
SegmentationLeast PrivilegeEncrypted CommunicationsRole-Based AccessAudit LogsLocal OperationControlled ActuationSecure SyncDeterministic SafetyAI Advisory BoundaryNO DIRECT ACTUATION
No browser-to-PLC command path. No direct actuator API.Recommendations enter an approved engineering workflow before deterministic control.
21 · TECHNOLOGY STACK
Architectural examples, not a deployment claim.
AI
Industrial
Edge
Robotics
22 · WHY DETACHED
Intelligence lives closer to the asset.
Conventional
Machine↓Raw Data↓Cloud↓AI↓Response↓Plant
NeuralOps
Machine↓Local Intelligence↓Local Decision Support↓Selective Synchronisation
