The foundation of modern manufacturing is connectivity—bringing visibility to machines, lines, utilities, and processes. We deploy IIoT solutions that integrate data across PLCs, SCADA, sensors, machines, and production systems.

What we connect:

• CNC machines, presses, injection molding, assembly lines

• Packaging lines, conveyors, robotics cells

• Utilities (energy meters, compressors, chillers, boilers)

• Environmental sensors (temperature, humidity, dust)

• Safety and compliance systems (where applicable)

What we deliver:

• Real-time dashboards for production, downtime, cycle time, and alarms

• Machine health monitoring and line-level performance visibility

• Automated data capture to eliminate manual logs and delays

• Standardization across multi-plant environments

Outcome: Real-time operational transparency and a reliable data foundation for analytics and automation.

OEE (Overall Equipment Effectiveness) is the universal KPI for factory performance, but improving OEE requires more than measurement—it requires insight and action.

We build production intelligence systems that:

• Identify downtime categories automatically

• Track micro-stoppages and speed losses

• Detect performance drift and cycle-time anomalies

• Correlate quality drops with machine conditions and process changes

• Provide shift-wise, line-wise, and product-wise performance analytics

• Recommend targeted actions to improve availability, performance, and quality

Outcome: Higher throughput, better utilization, reduced losses, and faster continuous improvement.

Reactive maintenance is costly. Predictive maintenance uses machine condition data to forecast failures before they happen. We implement predictive and preventive strategies using:

• Vibration, temperature, current, acoustic, and pressure signals

• AI/ML models for anomaly detection and failure prediction

• Maintenance prioritization based on risk and production impact

• Spare parts planning insights

• Integration with CMMS/EAM systems where needed

Typical assets: motors, gearboxes, pumps, bearings, spindles, compressors, HVAC/chillers, critical line equipment.

Outcome: Reduced unplanned downtime, improved MTBF, lower maintenance cost, and better spare parts efficiency.

Quality defects cost manufacturers not only in scrap and rework, but also in customer trust. We enable intelligent quality systems that reduce defect leakage and improve consistency using:

• Vision-based inspection (surface defects, dimensional checks, label/print verification)

• AI-based defect classification and root cause correlation

• Process parameter monitoring to prevent drift (temperature, pressure, torque, speed)

• Automated SPC dashboards and quality alerts

• Traceability linking batch/material/line/shift to quality outcomes

Outcome: Lower scrap, reduced rework, improved first-pass yield, and consistent product quality.

Industrial automation is not only about machines—it is also about workflows. We help automate production and operational workflows such as:

• Digital work instructions and operator guidance

• Andon systems for escalation and support

• Automated production reporting and shift handovers

• Material movement tracking and WIP visibility

• Automated approvals and compliance checklists

• RPA for back-office manufacturing operations (reports, reconciliations, updates)

Outcome: Reduced manual effort, fewer errors, faster response times, and improved standardization.

Robotics is accelerating across industries—welding, pick-and-place, palletizing, assembly, inspection, and material handling. We support robotics transformation by:

• Integrating robotics cells with production monitoring and analytics

• Connecting robots to line KPIs and downtime tracking

• Implementing vision-guided robotics for flexible automation

• Supporting safety, process validation, and performance monitoring

• Enabling “robot + data” systems for continuous optimization

Outcome: Higher productivity, improved safety, consistent output quality, and scalable automation.

Energy is a major operational cost and sustainability priority. We implement energy and resource intelligence to:

• Monitor power consumption by line, machine, shift, and product

• Identify peak demand drivers and energy waste areas

• Optimize compressed air and utility performance

• Correlate energy consumption with production and quality

• Provide ESG and sustainability reporting insights

Outcome: Lower energy cost, improved efficiency, reduced carbon footprint, and better compliance reporting.

Manufacturers are increasingly impacted by supply chain volatility. We enhance production planning and inventory visibility by providing:

• Real-time WIP tracking

• Inventory analytics and demand-driven insights

• Production schedule adherence monitoring

• Traceability and batch-level visibility

• Integration of shop-floor data with ERP/MES systems (where applicable)

Outcome: Better on-time delivery, fewer stockouts, lower inventory carrying cost, and improved planning accuracy.

Manufacturing needs low-latency decision-making (edge) and scalable analytics (cloud). We design hybrid architectures that:

• Run real-time monitoring and control at the edge

• Send aggregated insights to cloud platforms

• Ensure data security, segmentation, and reliability

• Enable multi-plant standard dashboards and analytics

• Support remote monitoring and centralized governance

Outcome: Reliable performance on the shop floor with scalable enterprise intelligence.

Industrial environments must protect both IT and OT systems. We implement security-by-design principles including:

• OT network segmentation and access controls

• Secure device onboarding and monitoring

• Role-based access to dashboards and production data

• Audit trails and governance practices

• Security best practices for industrial connectivity

Outcome: Reduced risk, improved compliance posture, and stronger operational continuity.