The factory is the backbone of automotive performance. We modernize manufacturing with IIoT connectivity, analytics, and automation that deliver measurable improvements in productivity and quality.

Key capabilities include:

• Real-time OEE tracking and line performance dashboards

• Downtime analytics, micro-stoppage detection, and root-cause visibility

• Predictive maintenance for critical assets and utilities

• Quality analytics linked to machine parameters and process conditions

• Traceability and batch-level visibility for components and assemblies

• Digital Andon systems, escalation workflows, and shift reporting automation

Outcome: Higher throughput, less unplanned downtime, improved OEE, and faster issue resolution.

Automotive quality standards are extremely high, and defects are expensive. We deploy quality intelligence systems that detect defects earlier and reduce defect leakage.

Key solutions include:

• Vision-based inspection for surface defects, weld quality, assembly verification, and label/print checks

• AI-driven defect classification and trend analytics

• Automated SPC dashboards and alerting

• Traceability linking defects to machines, shifts, lots, and suppliers

• Rework analytics and continuous improvement insight loops

Outcome: Improved first-pass yield, reduced scrap and rework, higher customer satisfaction, and stronger warranty performance.

Battery performance, safety, and lifecycle cost are critical for EV success. We support organizations in building data-driven visibility across the battery lifecycle—manufacturing, quality, field performance, and service readiness—using analytics and secure data frameworks.

Enablement areas include:

• Production traceability for cells/modules/packs

• Process parameter analytics and quality correlation

• Service and warranty insights based on structured data

• Battery health monitoring frameworks (governance-led, integration-ready)

• Sustainability enablement: lifecycle tracking and reporting support

Outcome: Better reliability, improved safety oversight, reduced warranty risk, and stronger lifecycle management readiness.

Automotive supply chains are multi-tiered and time-sensitive. We implement analytics and digital workflows that increase visibility and reduce schedule risk.

Key capabilities include:

• Vendor performance scorecards (lead time, quality, delivery reliability)

• Inventory and WIP visibility dashboards

• Demand and production alignment analytics

• Exception alerts for shortage risks and schedule impacts

• Automated reporting for procurement and production planning teams

Outcome: Fewer production disruptions, better supplier management, optimized inventory levels, and stronger on-time delivery.

Modern mobility is not just sold—it is continuously serviced. We help improve aftersales and service operations using data, automation, and customer experience enablement.

Solutions include:

• Predictive service insights using service and warranty data

• Digital service workflows and faster ticket resolution

• Customer communication automation and service tracking dashboards

• Service center performance analytics and SLA monitoring

• Knowledge systems to support technicians and call centers

Outcome: Faster service, improved customer satisfaction, lower service costs, and improved operational transparency.

Mobility organizations rely on multiple systems: ERP, MES, PLM, QMS, CRM, service platforms, and supplier tools. Data is often fragmented. We unify data and enable analytics through modern data platforms and governance.

Key capabilities include:

• Data integration and modern warehouse/lakehouse foundations

• Real-time dashboards for leadership and operations

• Governance practices for quality, lineage, and access controls

• Cloud migration enablement and hybrid architectures

• DevOps/MLOps frameworks for scalable model deployment

Outcome: One source of truth, faster decisions, scalable analytics, and secure digital foundations.

Robotics is already essential in automotive manufacturing. We enable smarter automation by connecting robotics cells to performance data and quality systems.

Use cases include:

• Robotics performance monitoring and downtime insights

• Vision-guided robotics for flexible automation

• Automated inspection with robotics-assisted workflows

• Safety and compliance logging support

• Continuous optimization of cycle times and process stability

Outcome: Higher productivity, better consistency, improved safety, and scalable automation.

Automotive and EV operations require quick skill development—especially for new technologies and safety procedures. AR/VR enables high-quality, repeatable training.

Applications include:

• EV safety training (high-voltage handling) in immersive simulations

• Assembly and maintenance procedure walkthroughs

• Remote expert assistance for service technicians

• Plant onboarding and operational training modules

• Digital twin walkthroughs for process planning and learning

Outcome: Faster onboarding, improved training effectiveness, reduced errors, and stronger safety readiness.

Automotive organizations are under pressure to reduce energy usage, improve resource efficiency, and support ESG targets. We enable sustainability with data-driven monitoring and optimization.

Focus areas include:

• Energy consumption monitoring (line/machine/shift/product)

• Peak demand tracking and energy waste identification

• Utility performance monitoring (compressed air, chillers, boilers)

• Sustainability reporting enablement and audit readiness

• Resource efficiency analytics for water, scrap, and materials

Outcome: Lower energy cost, improved efficiency, better ESG tracking, and reduced environmental impact.

Connected operations and software-defined systems require strong security and governance. We support secure-by-design modernization through access controls, audit trails, and governance-friendly architectures.

Outcome: Reduced risk exposure, improved compliance readiness, and stronger trust in digital systems.