XTS builds AiForge-powered dashboards that pull data from MES, PLC, and SCADA systems to deliver real-time OEE metrics — availability, performance, and quality — giving plant managers actionable visibility into production losses and bottleneck drivers.

Our data engineering pipelines ingest vibration, temperature, pressure, and acoustic data from critical equipment — CNC machines, compressors, furnaces, rolling mills — and apply ML models to predict failures before they cause unplanned downtime.

XTS builds integrated dashboards that connect supplier data, logistics tracking, inventory levels, and demand signals into a unified view, enabling procurement and planning teams to respond to volatility with data rather than guesswork.

We deploy statistical process control systems with real-time data feeds from inspection stations and inline sensors, using AI to detect drift patterns, correlate process parameters with quality outcomes, and trigger corrective actions automatically.

XTS engineers the data integration and real-time telemetry layers that feed digital twin platforms — connecting historian data, IoT streams, and CAD/BIM models into a unified digital representation of your physical assets and processes.

We build granular energy monitoring systems that track consumption at the machine, line, and plant level, correlating energy use with production output to identify waste, optimize scheduling, and support sustainability reporting.

XTS develops API layers and middleware that connect legacy MES, ERP, and shop floor systems into a cohesive digital architecture, enabling real-time production tracking, work order management, and automated reporting without replacing core systems.

We deploy on-premise LLMs trained on your SOPs, maintenance manuals, quality standards, and production data — enabling supervisors and engineers to query operational knowledge, generate reports, and receive contextual recommendations through natural language and voice interfaces.

XTS builds monitoring platforms that aggregate equipment telemetry, environmental conditions, energy consumption, and production metrics from multiple plant locations into a unified dashboard, enabling manufacturing leaders to compare site performance, identify anomalies, and dispatch interventions without being physically present.

XTS builds AiForge-powered analytics layers over SCADA and EMS data to model load patterns, predict peak demand windows, and support generation-dispatch decisions — delivering real-time intelligence to control room operators through role-based dashboards.

Our data engineering pipelines ingest high-frequency sensor data — vibration, thermal, dissolved gas analysis — and apply predictive models to forecast transformer, turbine, and switchgear degradation, enabling condition-based maintenance that reduces unplanned outages.

XTS deploys forecasting models for solar irradiance and wind variability, integrated with battery storage dispatch logic, helping operators manage renewable intermittency through intelligent dashboards rather than manual intervention.

We build compliance portals that automate evidence collection, control mapping, and reporting aligned with NERC CIP, CEA Cyber Security Guidelines, and IS 16335 — replacing spreadsheet-driven compliance with continuous, auditable digital workflows.

AiForge-driven outage prediction models integrate with GIS and SCADA systems to prioritize crew dispatch, estimate restoration timelines, and minimize customer impact — supported by real-time dashboards that give operations heads visibility across the distribution network.

XTS designs and builds secure digital platforms for day-ahead and real-time market participation, contract management, and settlement workflows, engineered for compliance with CERC/SERC regulations and power exchange protocols.

XTS conducts security posture assessments across OT and IT environments, executes hands-on gap remediation aligned with IEC 62443 and NIST CSF, and deploys continuous monitoring solutions tailored to industrial protocols and control system architectures.

We architect and deploy on-premise large language models trained on your grid operational context — relay settings, protection coordination logic, maintenance histories, and regulatory filings — enabling engineers and compliance teams to query complex technical and regulatory knowledge in natural language, with full data sovereignty.

XTS deploys remote monitoring solutions that ingest data from substation RTUs, transformer sensors, weather stations, and protection relays, delivering real-time asset health visibility across hundreds of unmanned substations — with AI-driven alerts for incipient faults, oil degradation, and protection system anomalies.

XTS builds analytics platforms that process Advanced Metering Infrastructure data at scale — identifying consumption patterns, detecting tamper and theft anomalies, and enabling demand-side management programs through intelligent segmentation and alerting.

We build AiForge-powered operational dashboards that aggregate data from SCADA, DMS, and GIS systems, delivering real-time network health metrics, fault location intelligence, and load balancing insights to control centre operators.

Our predictive models analyze historical outage data, weather patterns, asset age, and vegetation proximity to forecast outage risk by feeder and zone, enabling proactive maintenance scheduling and faster crew dispatch during events.

For water utilities, XTS deploys analytics pipelines that correlate flow meter data, pressure sensor readings, and billing records to pinpoint physical and commercial losses across distribution zones, supporting targeted intervention and DMA optimization.

We build compliance portals that aggregate operational, financial, and service quality data into automated reports aligned with state utility commission requirements, CGRF mandates, and sector-specific performance benchmarks.

XTS designs and builds consumer-facing portals and mobile applications for billing, consumption tracking, outage notifications, and service requests — integrated with backend CIS and billing systems for real-time accuracy.

Our platforms consolidate asset condition data, maintenance records, and failure history to support risk-based capital expenditure planning, helping utilities prioritize replacements and refurbishments where they matter most.

XTS deploys on-premise AI assistants trained on your distribution network topology, asset registers, maintenance protocols, and outage histories — enabling field crews to query fault resolution procedures and planning teams to interrogate network performance data through natural language, reducing dependence on tribal knowledge.

XTS builds centralized monitoring platforms for water, gas, and electricity distribution networks, aggregating flow, pressure, quality, and equipment data from remote installations into GIS-enabled dashboards with predictive alerting for leak detection, pressure drops, and equipment degradation.

XTS builds digital platforms that aggregate emissions data from Scope 1, 2, and 3 sources, automate GHG inventory calculations, and generate reports aligned with GRI, BRSR, CDP, and TCFD frameworks — replacing manual data collection with continuous, auditable workflows.

We deploy data pipelines that track waste generation, composition, and routing across collection, segregation, and processing stages — applying analytics to optimize recovery rates, reduce contamination, and improve circular economy KPIs.

XTS integrates sensor data from CEMS, ambient air quality stations, effluent monitoring systems, and noise sensors into unified compliance dashboards, with automated alerting and report generation for CPCB/SPCB submissions.

We build monitoring platforms that track combustion parameters, feedstock quality, energy output, and emissions in real time, enabling plant operators to optimize throughput and maintain regulatory compliance simultaneously.

XTS develops digital platforms that map material flows across industrial value chains, track recycled content percentages, and support extended producer responsibility compliance with verifiable chain-of-custody data.

We deploy analytics solutions that monitor influent/effluent quality, chemical dosing efficiency, energy consumption, and sludge generation, helping treatment plant operators reduce operational costs while meeting discharge norms.

XTS builds portals that aggregate supplier sustainability data — carbon footprint, labour practices, environmental certifications — into scorecards and risk dashboards, supporting procurement decisions aligned with corporate sustainability commitments.

XTS builds real-time monitoring platforms for MRFs, composting facilities, incineration plants, and wastewater treatment operations — tracking feedstock intake, processing throughput, output quality grading, and residue disposal to maximize processing efficiency and regulatory compliance.

We deploy fleet tracking and collection analytics platforms that integrate GPS data, weight-at-source capture, route optimization algorithms, and schedule adherence monitoring — giving operations managers real-time visibility into collection efficiency, vehicle health, and service coverage gaps.

XTS deploys on-premise AI assistants trained on your environmental impact assessments, consent conditions, regulatory filings, and operational monitoring data — enabling sustainability officers to query complex compliance requirements, cross-reference consent conditions against operational data, and generate regulatory submission drafts through natural language.

XTS integrates CEMS, effluent sensors, ambient air quality monitors, and waste processing telemetry into centralized compliance dashboards, enabling environmental officers to track exceedances in real time, auto-generate regulatory submissions, and demonstrate continuous compliance to CPCB/SPCB authorities across multiple operating locations.