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Industrial Internet of Things (IoT) Solutions
Connect sensors, devices, and industrial assets across on-premises, edge, and cloud environments. Enable secure data flow, apply edge analytics, and gain real-time visibility across widely distributed operations.
The Challenge: When Edge Devices Can’t Deliver Intelligence
Organizations increasingly rely on sensors, remote assets, and distributed equipment to drive operational insight. When edge devices cannot process, analyze, or visualize data locally, teams lose the opportunity to detect problems early, act quickly, or optimize performance. Data may be captured, but without local intelligence, insight arrives too late to be operationally useful.
Traditional IoT approaches often depend on sending large volumes of raw data directly to the cloud. This model introduces latency, increases cloud storage and bandwidth costs, and limits the ability to respond to events at the source. Security concerns further complicate site-to-cloud communication, especially when systems lack a structured, governable way to publish and consume operational data.
Common Challenges
- Inability to connect diverse sensors, protocols, and equipment at the edge
- Limited or no local analytics and processing capabilities
- Latency caused by routing all data to centralized cloud platforms
- Rising cloud costs from transmitting unfiltered data
- Security and governance concerns across distributed environments
Resulting Business Impact
- Reduced visibility into remote and widely distributed assets
- Slower response to operational issues and anomalies
- Higher operational and infrastructure costs
- Missed opportunities to improve reliability, efficiency, and performance
- Increased reliance on custom development to bridge system gaps
Modern IoT strategies require more than connectivity alone. Edge intelligence (local data processing and analytics), secure data flow, and built-in visualization are essential to transform distributed data into real-time operational insight where and when operations depend on it.
The Solution: GENESIS for IoT
GENESIS combines IoT capabilities with a proven HMI/SCADA foundation, real-time analytics, and mobile access to support secure, cloud-ready operations across industrial, energy, manufacturing, and building environments. The platform connects sensors, equipment, and control systems at the edge while enabling local data processing, visualization, and analytics to reduce latency and limit unnecessary cloud data transfer.
Standards-based, secure site-to-cloud connectivity provides reliable integration with cloud and enterprise systems, while built-in visualization and fault detection capabilities help teams identify issues early, respond faster, and optimize performance. GENESIS provides a scalable platform for IoT applications that balances global visibility with local data processing and analytics, supporting operational efficiency, cost control, and long-term system evolution.
Click on the image above to see the IoT Weather Conditions dashboard in greater detail.
Real-World Results
Comau Pico
Automotive Manufacturing
Comau Pico applies GENESIS to enable Industrial IoT–driven engine testing across multiple Ford Motor Company manufacturing plants. GENESIS connects hundreds of sensors and control points on cold and hot engine test stands, capturing, sequencing, and processing real-time test data directly on the production floor. The platform supports 100 percent engine testing, performs local data logging and trending, and securely publishes production and quality data to enterprise systems for analysis. By unifying shop-floor sensor data with plant-wide and enterprise visibility, Comau Pico delivers a scalable IIoT architecture that improves quality control, maintenance planning, and production efficiency across global manufacturing operations.
Result highlights:
- Real-time acquisition and processing of high-volume sensor data across engine test stands
- Complete cold and hot testing coverage for every engine produced
- Edge-based data logging and trending supporting quality and performance analysis
- Secure integration with Oracle enterprise databases for plant and corporate visibility
- Improved maintenance scheduling and reduced downtime through production analytics
"GENESIS allows usage across multiple product lines using the same architecture, increasing throughput while decreasing implementation time."
Jack Porter
Comau Pico
Bohr Instrument Services
Oil & Gas Drilling Operations
Bohr Instrument Services applies GENESIS to enable real-time, edge-based Industrial IoT monitoring across onshore and offshore drilling rigs operating in extreme conditions. Using GENESIS as the core of its DRILL-PRO Total Drilling Information System, Bohr connects hundreds of sensors and data points on each rig to collect, process, and visualize high-frequency operational data directly at the edge. The platform performs real-time calculations, vertical trending, and alarm monitoring locally, while securely distributing live and historical data to engineering and management teams at remote locations. This edge-centric IIoT architecture gives operators immediate insight into drilling performance, supports faster decision-making, and reduces operational risk without relying on continuous cloud connectivity.
Result highlights:
- Real-time acquisition and visualization of large volumes of sensor data from drilling rigs
- Edge-based calculations and derived metrics supporting faster operational decisions
- Vertical trending and historical analysis for improved drilling performance and safety
- Distributed I/O architecture delivering flexibility, reliability, and lower operational costs
- Secure data sharing between rig sites and remote engineering and management teams
"Extensive visualization of all the key parameters by the GENESIS software system helps the drilling operator to prevent problems, drill more efficiently and reduce drilling time, which translates into overall cost savings."
Bohr Instrument Services
Operational Outcomes and Business Benefits
Universal Connectivity
Connect to virtually any automation equipment through supported industry protocols including OPC UA, BACnet, SNMP, Modbus, databases, and web services.
Secure Cloud Communications
Highly secure site-to-cloud communications based on AMQP protocol with publish/subscribe mechanism, leveraging Microsoft Azure IoT Hub security features.
Edge Intelligence and Analytics
Process data locally at the edge with built-in fault detection and diagnostics, reducing latency and cloud costs while enabling real-time KPI visualization.
Flexible Deployment Options
Deploy on cost-effective edge devices with simple setup and configuration, creating remote monitoring and analytics solutions across widely dispersed assets.
Industrial IoT Platform Capabilities
Flexible Deployment Architectures
Support multiple IoT deployment patterns based on application needs, ranging from basic edge connectivity and data collection to architectures with local analytics, buffering, and on-premises visualization. Each model enables secure integration with cloud platforms and third-party applications while maintaining local processing where required.
Secure Data Collection and Forwarding
Collect and buffer data locally on edge devices using store-and-forward mechanisms that protect against network interruptions. Configurable publishing schedules support reliable data transfer to cloud platforms or enterprise systems through secure connections, preserving data integrity while controlling bandwidth usage and cloud storage costs.
Cloud Integration and Scalability
Integrate edge and on-premises data with cloud environments to support centralized visibility and scalable analytics. Edge data can be consumed by SCADA, historian, and analytics applications deployed in cloud or enterprise environments, with optional integration to cloud analytics and visualization services for extended analysis.
Edge Processing and Local Intelligence
Support local data processing on third-party IoT gateways using a robust software infrastructure designed for edge environments. Built-in capabilities reduce latency by processing sensor and operational data locally, enabling edge analytics, basic fault detection logic, workflow execution, and real-time operational insight. Only relevant, contextualized data is forwarded to upstream systems or cloud platforms.
Built for Secure, Scalable Edge-to-Cloud Operations
GENESIS enables IoT by bridging on-premises operational networks and cloud-based platforms, enabling secure, scalable data exchange across edge, enterprise, and cloud environments. Deployed at the edge or within on-premises infrastructure, GENESIS connects industrial equipment, sensors, and control systems to upstream applications, supporting process, factory, and building automation use cases through open, industry-standard communication protocols.
Key platform capabilities:
- Southbound communications supporting BACnet, Modbus, OPC UA, SNMP, and additional industrial and building protocols
- Northbound publishing using AMQP with publish/subscribe messaging for reliable site-to-cloud data transfer
- Integration with Microsoft Azure IoT Hub for secure, scalable cloud connectivity and device management
- Support for REST and MQTT protocols to enable integration with third-party applications and services
- Compatibility with ERP, MES, and enterprise systems deployed in private or public cloud environments
By combining edge connectivity, secure data publishing, and flexible integration with enterprise and cloud environments, GENESIS enables reliable real-time communication across distributed systems while preserving local processing and control. Manufacturers and facility operators gain the flexibility to deploy IoT applications that support remote monitoring, analytics, and collaboration across widely distributed assets, delivering global visibility without sacrificing edge-level intelligence.
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GENESIS Platform Brochure
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Transform distributed operations with secure edge-to-cloud IIoT connectivity and analytics.