Industrial IoT Platform Development
Connect physical equipment to intelligent software.
An IIoT platform connects machines, sensors, vehicles, and infrastructure to software — enabling real-time monitoring, remote control, analytics, and AI-driven automation. InWork Global builds the full stack, from protocol-level ingestion to predictive-maintenance AI and the dashboards on your plant floor.
What an IIoT platform is
From sensor signal to business decision.
An IIoT platform connects physical equipment — machines, sensors, vehicles, infrastructure — to software systems, enabling real-time monitoring, remote control, analytics, and AI-driven automation.
InWork builds every layer of that stack: a data ingestion layer that speaks industrial protocols, storage and processing tuned for time-series data, AI and analytics for anomaly detection and predictive maintenance, and visualization and control surfaces your operators actually use.
What we build
Four layers, one platform.
Data Ingestion Layer
ConnectivityProtocol support for MQTT, AMQP, OPC-UA, Modbus TCP/RTU, BACnet, and REST/Webhooks; edge agents in Python on Raspberry Pi, AWS Greengrass, and Azure IoT Edge; message brokers on AWS IoT Core, Azure IoT Hub, Mosquitto, or HiveMQ; and normalization mapping heterogeneous formats to a unified schema.
Storage & Processing
DataTime-series storage on InfluxDB, TimescaleDB, AWS Timestream, or Azure Data Explorer; event streaming via Apache Kafka, AWS Kinesis, or Azure Event Hub; cold storage on S3 or Azure Blob; and processing with Apache Spark, AWS Lambda, and Python batch jobs.
AI & Analytics
IntelligenceAnomaly detection with Isolation Forest and LSTM autoencoders on time-series data, predictive maintenance regression on vibration, temperature, and current-draw patterns, root cause analysis across sensor streams, and energy optimization via load forecasting and demand response.
Visualization & Control
OperationsReal-time dashboards on Grafana or custom React, multi-channel alert management (SMS, email, PagerDuty, Slack), remote control via SCADA web frontend and mobile app, and KPI reporting on OEE, MTBF, and MTTR.
Industrial protocols
We speak what your equipment speaks.
Protocol compatibility is the difference between a platform that connects and one that strands half your assets.
MQTT & AMQP
Lightweight pub/sub messaging for high-frequency sensor reporting, brokered on AWS IoT Core, Azure IoT Hub, Mosquitto, or HiveMQ.
OPC-UA
Standards-based industrial interoperability for PLCs and modern automation equipment, normalized into a unified data schema.
Modbus TCP/RTU
Connectivity to legacy and embedded industrial controllers via the most widely deployed industrial protocol.
SCADA & BACnet
SCADA/HMI integration for supervisory control, plus BACnet for building automation and facilities systems.
Reference architecture
Sample build: a manufacturing plant.
An anonymized reference architecture from a deployed manufacturing engagement.
200 sensors across 15 production machines
MQTT agents on each machine reporting every 30 seconds
AWS IoT Core ingestion → Kinesis → Lambda → TimescaleDB
Grafana real-time dashboard visible on the plant floor and in the management office
Predictive maintenance AI delivering 72-hour advance warning on motor bearing failures
Result: 23% reduction in unplanned downtime in 6 months
23%
Reduction in unplanned downtime in 6 months
In an anonymized manufacturing deployment, InWork's predictive-maintenance AI delivered 72-hour advance warning on motor bearing failures, cutting unplanned downtime by 23% in six months. Available for reference under NDA.