Provides a unified platform to monitor historical, real-time, and predictive operational data for improved power plant performance. By delivering actionable insights into critical process parameters, the solution enables faster decision-making, optimizes operational efficiency, enhances asset reliability, and supports sustainable, high-performance power generation.

Built for dynamic grid conditions, the solution provides real-time block-wise monitoring of generation, schedules, UI deviations, and DSM charges. It integrates with ABT meters, LDC/SLDC, IEX, and plant-level DCS/PLC systems to enable accurate deviation analysis, automated reporting, event-driven alerts, and faster corrective decisions.

Real-time energy monitoring and optimization through integration with energy meters, relays, PLCs, and SCADA systems. High-resolution time-series analysis, equipment-level energy mapping, KPI monitoring, load profiling, peak-demand analysis, AI/ML anomaly detection, automated alerts, and AI-assisted root cause analysis enable smarter energy management.

Brings industrial context to Generative AI for smarter insights and better decisions. Enables process understanding, anomaly detection, recommendations, and human-in-the-loop intelligence. Build and deploy self-service AI agents for industrial use cases without starting from scratch. Better Context. Smarter Intelligence. Reliable Outcomes.

Connecting Operations Logbooks with Work Orders, Permits, Interlocks, LOTO, Checklists, and Safety workflows creates a single, trusted source of operational information. A unified platform enables frontline teams to access real-time information, improve communication, accelerate work execution, strengthen safety, and support proactive decision-making across plant operations.

AI-driven analysis of eBMR data transforms batch records into actionable intelligence, enabling early deviation detection, batch-to-batch comparison, and identification of high-performing Golden Batches. Pattern recognition, statistical trend analysis, and correlation of quality, OEE, energy, and process parameters help operations and quality teams accelerate root-cause analysis, reduce batch variability, and improve first-time-right performance.

Real-time alarm monitoring and analytics with AI-driven alarm summaries, intelligent escalation, alarm-flood analysis, and SOP-based alarm reconditioning help operations teams prioritize critical alarms and improve response effectiveness. The solution supports ISA-18.2-aligned alarm management practices, reducing nuisance alarms and enabling safer, more reliable plant operations.

A low-code/no-code framework that enables teams to build and deploy device-agnostic industrial applications with dynamic UIs, workflows, validations, security, and seamless data integration. Native mobile support and simplified change management enable faster deployment, while integration with Logbooks, Permits, Reports, and other inSis modules strengthens workflow control, compliance, and data traceability.

A digital Permit-to-Work (PTW) workflow with structured approvals, role-based controls, hazard identification, and risk controls. Integration with Logbooks, CMMS, Interlocks, and LOTO provides real-time permit visibility, traceability, and automated reporting while ensuring consistent safety controls and audit-ready records across shifts and contractors.