Multi-Protocol Access
Connect common industrial devices and control systems through a unified integration layer.
Industrial Edge Intelligence
Let AI Perceive the Real World
Connect sensors, PLCs, and controllers; handle protocol access, data processing, and controlled execution at the edge; and expose field capabilities to AI Agents.
Multi-protocol access
Edge AI Agent
Ethernet / Wi-Fi / 4G
DIN-rail deployment
Bridge
Turn field devices into capabilities AI can call
monii connects sensors, PLCs, meters, and controllers across different protocols, processes data and permissions on site, then exposes capabilities to business systems and AI Agents through standard interfaces.
Edge Processing
Clean, filter, aggregate, and evaluate rules on site before data leaves the edge.
Controlled Execution
Apply permissions, isolation, and records to device reads and control operations.
Standard Interfaces
Expose field capabilities through APIs, Skills, and real-time data streams.
Products
From Device Access to Edge Inference
Gateways, touch terminals, edge servers, and wide-area low-power access devices for field deployments of different scales.
Featured ProductEdge Gateway
M150UB Edge AI Gateway
A lightweight industrial gateway for data collection, protocol conversion, and on-site AI Agents.
Industrial I/OEdge AgentDIN-Rail
Explore M150UB 
Industrial Panel PC
Industrial Panel PC
Local computing, touch interaction, and field visualization in one industrial device.
Touch InterfaceLocal ComputeRuggedized
Edge Computing Server
Edge Computing Server
An edge computing node for industrial vision, multi-model inference, and concurrent data processing.
Industrial VisionModel InferenceRack Mount
LoRaWAN Gateway
LoRaWAN 4G/5G Gateway
Cellular backhaul and edge decoding for distributed terminals and long-range low-power collection.
Low-Power WANCellular BackhaulEdge Decoding
Intelligence
AI Can Read Data— and Complete Field Tasks
Through standardized Skills, AI Agents can read device state, analyze changes, adjust authorized parameters, and return results without understanding every underlying industrial protocol.
Read
Retrieve temperature, pressure, device state, and alarms.
Decide
Use rules, history, and models to propose the next action.
Execute
Adjust parameters or dispatch tasks within granted permissions.
Report
Return results through Web, APIs, or communication channels.
Authorized Task Example Device Online
“Read Line 1 temperature and notify the duty engineer if it exceeds the threshold.”
ResultNormal · Alert rule created
This example illustrates the task flow. Actual capabilities depend on configured devices, Skills, and permission policies.
Flow
From Connection to Feedback, an Agent Loop
Field signals no longer stop at upload. monii turns device state into a task flow that can be understood, executed, and traced.
01
Connect
Connect sensors, PLCs, meters, and controllers.
02
Understand
Clean data, identify states, and evaluate rules at the edge.
03
Act
Let AI Agents call controlled Skills to query, configure, or execute tasks.
04
Respond
Send results, alerts, and operation records to people or business systems.
Use Cases
From Production Lines to Remote Sites
The same edge capabilities enter manufacturing, energy, and environmental sites in different ways.
Smart Manufacturing
Understand Production State Earlier
Connect PLCs, sensors, and production equipment; identify anomalies at the edge; and send status and recommended actions to engineers.
Energy Management
Understand Every Unit of Energy On Site
Aggregate electricity, water, and gas data, then combine tariff strategies with edge analytics and scheduling.
Environmental Monitoring
Keep Remote Sites Continuously Connected
Collect water, weather, and emissions data continuously, report it over cellular networks, and push anomalies to the right people.
Platform Capabilities
Connect OT and IT systemsExpose field capabilities to AICoordinate edge and cloud
Start with Your Site
Tell us about your devices and protocols. We’ll propose an integration path.
From a single-device proof of concept to multi-site deployment, begin with your field constraints and desired outcome.