Industrial Automation & IIoT

Connecting the physical world to intelligent systems.

InWork Global builds Industrial IoT platforms, fleet intelligence systems, energy management tools, and AI-powered predictive maintenance solutions for US industrial and infrastructure businesses.

MQTT · OPC-UA · ModbusEdge computingPredictive maintenanceTime-series analytics
Industrial IoT monitoring command center

Our capabilities

From sensor to decision.

An IIoT platform connects physical equipment — machines, sensors, vehicles, infrastructure — to software, enabling real-time monitoring, remote control, analytics, and AI-driven automation.

Platform Engineering

Ingestion

Custom IIoT data ingestion (MQTT, OPC-UA, Modbus), edge computing on Raspberry Pi, NVIDIA Jetson, AWS Greengrass, and Azure IoT Edge, plus time-series storage and analytics (InfluxDB, TimescaleDB, AWS Timestream).

System Integration

Connected

SCADA/HMI integration, ERP integration (SAP, Oracle, Microsoft Dynamics), supply-chain data feeds, ELD integration for fleet, and asset tracking via BLE, RFID, and GPS.

AI & Analytics

Intelligence

Anomaly detection on sensor streams (Isolation Forest, LSTM autoencoders), predictive failure modeling, energy consumption optimization AI, computer vision for quality inspection, and digital twin modeling.

Visualization & Control

Operations

Real-time dashboards (Grafana and custom React), multi-channel alerting (SMS, email, PagerDuty, Slack), remote SCADA web and mobile control, and KPI reporting on OEE, MTBF, and MTTR.

Where we build

Three industrial domains, one engineering team.

IIoT platforms

Protocol-agnostic ingestion (MQTT, AMQP, OPC-UA, Modbus TCP/RTU, BACnet, REST), normalized to a unified schema, with event streaming on Kafka, Kinesis, or Azure Event Hub and predictive maintenance models on vibration, temperature, and current-draw patterns.

Fleet & asset management

Real-time GPS tracking (Samsara, Verizon Connect, Geotab, or custom hardware), driver behavior scoring, ELD and HOS compliance, DTC integration via OBD-II / J1939, route optimization, and IFTA fuel tax reporting automation.

Energy technology & smart grid

Solar plant monitoring and production forecasting, demand-response automation, microgrid control, battery storage optimization, EV charging platforms (OCPP), and sustainability reporting (Scope 1, 2, 3 emissions).

Sample architecture

A manufacturing plant deployment.

200 sensors across 15 production machines — a representative pattern from our IIoT platform work.

1

MQTT agents on each machine report telemetry every 30 seconds.

2

AWS IoT Core ingests the streams, routed through Kinesis to Lambda for event-driven processing.

3

Normalized data lands in TimescaleDB for time-series storage and analytics.

4

A Grafana real-time dashboard is visible on the plant floor and in the management office.

5

Predictive maintenance AI delivers 72-hour advance warning on motor bearing failures — a 23% reduction in unplanned downtime within 6 months.

Proof in production

What we've delivered for industrial, energy & IoT.

80,000+
Locations on an IoT device-management platform for a national petroleum network
94%
Fraud detection rate on synthetic scenarios in fuel-dispensing validation testing
OCPP 1.6
EV charging protocol compliance across a multi-operator charging network
23%
Reduction in unplanned downtime from predictive maintenance in a plant deployment

MQTT · OPC-UA · Modbus

We speak the protocols of the plant floor

Edge agents, time-series pipelines, and AI analytics built for the physical world — deployed across manufacturing, energy, logistics, and critical national infrastructure.

Industrial & IIoT specialists

Bring your equipment online — intelligently.

Ingestion, edge, time-series analytics, and predictive AI for industrial and infrastructure operators. Tell us what you need to monitor.

Integrity. Urgency. Ownership.

Talk to our IIoT teamRequest a proposal

40+ US businesses served · 65+ engineers · Zero long-term lock-in

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