We help organizations shift from reactive maintenance to predictive and condition-based maintenance using IIoT signals and analytics.

Focus areas include:

• Monitoring of rotating equipment (pumps, compressors, turbines, motors)

• Condition-based alerts using vibration, temperature, pressure, current, flow signals

• Anomaly detection and early warning indicators with AI/ML

• Maintenance prioritization based on criticality, risk, and production impact

• Integration-ready workflows for work orders and reliability reporting

Outcome: Reduced unplanned shutdowns, improved MTBF, lower maintenance cost, and higher asset availability.

Refineries and petrochemical plants operate complex processes where small inefficiencies can create large losses. We enable process intelligence by connecting operational data and creating analytics-driven dashboards that highlight performance gaps.

Key capabilities include:

• Real-time operational dashboards for units and utilities

• Performance analytics for throughput, yields, and quality indicators (as defined by the client)

• Detection of process drift and abnormal operating patterns

• Root-cause trend analysis to reduce recurring disturbances

• Decision support insights to improve operational stability

Outcome: Better process stability, improved yields, reduced variability, and stronger operational control.

Industrial plants require real-time monitoring with reliable response even when connectivity is constrained. We deploy edge-friendly architectures that connect critical assets and deliver actionable insights safely.

Use cases include:

• Remote monitoring of plant equipment and utilities

• Alerting for threshold breaches and abnormal patterns

• Utility monitoring for compressors, boilers, chillers, and power distribution

• Environmental monitoring where applicable (temperature, humidity, emissions sensors integration-ready)

• Secure device onboarding and governance controls

Outcome: Improved situational awareness, faster response, and stronger operational resilience.

Oil & gas and petrochemical environments are compliance-heavy: inspections, audits, certifications, safety checklists, and documentation must be accurate and accessible. We digitize workflows to ensure traceability and reduce manual errors.

Capabilities include:

• Digital inspection checklists and audit logs

• Compliance reporting automation and documentation readiness

• NCR/corrective action tracking

• SOP and permit-related workflow digitization (where applicable)

• Evidence capture for inspections and maintenance activities

Outcome: Improved audit readiness, faster compliance reporting, reduced paperwork, and stronger governance.

Safety training and operating discipline are essential. We enable workforce readiness using immersive training and digital guidance systems that standardize learning and reduce human error.

Applications include:

• Safety training simulations for hazard awareness and emergency response

• Maintenance procedure walkthroughs in immersive environments

• Remote expert assistance for field troubleshooting

• Digital onboarding modules for faster time-to-competency

• Standardized operating guidance and knowledge capture

Outcome: Improved safety culture, faster onboarding, reduced errors, and improved training effectiveness.

Energy costs and emissions are major priorities. We enable data-driven energy monitoring and optimization across plants and utilities.

Key capabilities include:

• Energy dashboards (unit-wise, utility-wise, shift-wise where applicable)

• Peak demand monitoring and loss identification

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

• Efficiency analytics and anomaly detection in energy usage

• Sustainability reporting enablement (ESG-ready dashboards and data alignment)

Outcome: Lower energy costs, improved efficiency, reduced carbon footprint, and better sustainability reporting readiness.

Petrochemical and downstream operations depend on feedstock reliability and logistics timing. We improve visibility and decision-making through analytics and digitized workflows.

Enablement areas include:

• Inventory visibility dashboards for critical materials and spares

• Supplier performance analytics (lead times, quality trends, delivery reliability)

• Logistics tracking insights for terminals, movement, and distribution

• Planning analytics to support better production alignment

• Exception alerts for shortage risks and schedule impacts

Outcome: Reduced disruptions, better planning, optimized inventory, and improved delivery reliability.

Most organizations have data spread across DCS/SCADA historians, maintenance systems, ERP, lab/QC systems, inspection systems, and operational logs. We build unified data platforms that create a single source of truth for analytics, operations, and leadership visibility.

Capabilities include:

• Data integration and data quality frameworks

• Role-based dashboards for operations, maintenance, safety, and leadership

• Governance and access controls suitable for regulated environments

• Hybrid cloud architectures for scale with controlled data handling

• Analytics foundations to support AI/ML use cases

Outcome: Faster decisions, consistent reporting, improved cross-team alignment, and scalable intelligence.

We implement automation for repetitive processes—reducing manual effort and improving consistency.

Examples include:

• Automated operational reporting

• Workflow automation for approvals and documentation

• Digital shift handovers and logbook automation

• RPA for back-office operations (report generation, reconciliations, updates)

• Standardized SOP execution tracking

Outcome: Improved productivity, fewer errors, faster cycle times, and consistent execution.

Digitalization increases the need for secure operations. We support governance-aligned architectures that implement secure-by-design practices across modern platforms, ensuring access control, logging, and operational discipline.

Outcome: Reduced risk, stronger audit posture, and improved trust in connected systems.