Disconnected Plant Floor Islands
Factory machines operate as isolated operational islands, leaving plant managers with zero real-time visibility into line speeds or scrap rates.
Transform legacy manufacturing plants into smart, connected factories. We design ruggedized Industrial IoT (IIoT) architectures that connect factory machines, collect production telemetry, and provide real-time visibility into plant efficiency.

Industrial IoT (IIoT) is the extension of Internet of Things technologies into industrial manufacturing, energy, and logistics environments, integrating machine sensors, instrumentation, and networked devices with industrial software.
Manufacturers operate in competitive markets with tight margins. IIoT eliminates blind spots on the plant floor, optimizes Overall Equipment Effectiveness (OEE), and prevents costly production bottlenecks.
Consult our engineering teamReal-world engineering and organizational obstacles addressed by our architecture.
Factory machines operate as isolated operational islands, leaving plant managers with zero real-time visibility into line speeds or scrap rates.
Operators manually fill out paper clipboards at the end of shifts, resulting in delayed, subjective, and inaccurate production data.
Standard electronics fail when exposed to industrial heat, oil mist, metal dust, and electromagnetic interference.
Connecting factory machines to enterprise networks risks exposing critical control systems to malware and cyber threats.
Key technical components engineered and deployed for production stability.
Deploy fanless, IP67-rated industrial PCs and DIN-rail gateways designed to withstand severe factory conditions.
Interface bidirectionally with existing factory SCADA and process historians (Wonderware, Ignition, GE Proficy).
Calculate machine Availability, Performance, and Quality yield automatically from digital sensor inputs.
Enforce strict DMZ and firewall segmentation between Operational Technology (OT) and corporate IT networks.
Our phased delivery process establishes clear baselines, deterministic testing, and seamless systems integration:
Specializing in OPC-UA, MQTT Sparkplug B, Ignition SCADA, Inductive Automation, Advantech industrial hardware, and IEC 62443 security standards.
Discuss architecture detailsConcrete operational use cases illustrating measurable outcomes across commercial environments.
Connecting 12 hydraulic stamping presses to track cycle times, die changeover durations, and scrap counts in real time.
Monitoring chemical batch temperatures, pressures, and agitator motor loads to ensure consistent chemical yield.
Tracking package counts across conveyor diverters to identify bottlenecks capping packaging line throughput.
Tangible performance improvements achieved through disciplined engineering and validation.
Measurable 5 to 15 percent increase in plant Overall Equipment Effectiveness (OEE)
100 percent elimination of paper-based shift production clipboards
Immediate real-time visibility into factory line slowdowns and micro-stoppages
Rigorous cyber defense isolating factory control systems from external IT threats
Clear answers to help you evaluate feasibility, data requirements, and deployment.
The Purdue Model is the global architecture standard for industrial control system security. It divides networks into strict hierarchical levels (from physical sensors at Level 0 to corporate IT at Level 4) with industrial firewalls ensuring corporate malware cannot jump to factory machinery.
Sparkplug B is an open standard specification for MQTT in industrial automation. It provides a standardized data payload structure, automatic device discovery, and state awareness (knowing immediately when a device goes offline), making plug-and-play IIoT possible.
Yes. We install external non-invasive sensors (such as optical photo-eyes for part counting and current clamps for motor run-status) directly onto mechanical equipment, bringing 40-year-old machines into modern digital dashboards.
Speak with our engineering team in Roorkee to review feasibility, architectural options, and implementation timelines.