Predictive Maintenance

Use AI to detect asset risk before failure becomes visible

Traditional maintenance often reacts after breakdowns, visible damage or repeated operator complaints. Predictive maintenance looks at asset behaviour earlier using machine signals, operating history and pattern changes.

Sampark structures predictive maintenance around asset criticality, signal quality, anomaly detection, failure-risk scoring and workflow handoff to maintenance teams.

The goal is to help plants reduce unplanned downtime, improve maintenance planning and act on high-risk assets before production impact increases.

Maintenance intelligence that connects asset risk with action

Sampark focuses on predictive maintenance systems that help industrial teams detect risk earlier, prioritise work and reduce avoidable downtime.

Earlier Failure Visibility

Identify asset behaviour changes and warning indicators before problems become visible breakdowns.

Reduced Unplanned Downtime

Use risk alerts and condition signals to act before critical equipment failure disrupts production.

Better Maintenance Prioritisation

Focus maintenance effort on assets with higher risk, higher impact and stronger failure indicators.

Improved Spare Planning

Use predicted risk and inspection needs to support spares readiness, service scheduling and maintenance planning.

Traceable Maintenance Actions

Connect alerts with inspections, work orders, closure notes and outcome tracking for better accountability.

Continuous Model Improvement

Use technician feedback, inspection results and failure history to refine prediction logic over time.

Clinical and Operational AI

Healthcare Intelligence & Automation

AI agents, NLP, and workflow intelligence for patient support, healthcare records, and hospital operations.

Clinical AI Stack

Patient Engagement AI Conversational support for patient journeys Clinical Workflow Support AI-assisted coordination across care teams Healthcare Document AI NLP extraction from records and reports Appointment & Query Automation AI agents for front-desk interactions Medical Knowledge Search RAG search across approved healthcare content Hospital Operations Insights AI detects delays, gaps, and service patterns

AI for Plants and Assets

AI for Plants, Assets & Operations

Machine learning, IoT signals, and agentic monitoring for manufacturing, maintenance, energy, and shopfloor intelligence.

Plant AI Layer

IIoT & IoT Integration AI-ready signals from machines and sensors Predictive Maintenance ML models predict early failure signals MES Intelligence AI visibility into production bottlenecks Shopfloor Monitoring Machine and operator activity intelligence Energy & Asset Insights AI detects abnormal usage and drift Plant Command View AI-assisted operational decision layer

Computer Vision AI

Computer Vision for Real-World Events

Vision AI for workplace safety, surveillance intelligence, restricted zones, movement analysis, and visual evidence workflows.

Vision AI Layer

Intelligent Video Surveillance AI detection over live camera streams Safety Violation Detection Computer vision for PPE and unsafe actions Restricted Area Monitoring AI watches mapped zones and boundaries People & Crowd Analytics Density, movement, and congestion intelligence Vehicle & Gate Intelligence AI-enabled entry and vehicle visibility Event Alerts & Evidence Visual proof for incidents and actions

Workflow and Document AI

Intelligent Workflow & Document Automation

AI agents that classify work, read documents, recommend actions, and move business processes with human control.

Agentic Workflow AI

Workflow Automation AI-guided approvals, tasks, and escalations Intelligent Task Routing AI classifies and assigns business work Document Processing OCR and NLP for document understanding Decision Support Automation AI recommendations for operational decisions Omnichannel Automation AI responses across business channels Exception Management AI detects process delays and SLA risk

Copilots and Knowledge AI

Enterprise Copilots, RAG & Knowledge AI

Enterprise-grade GenAI using approved knowledge, role-aware copilots, document intelligence, and governed AI responses.

RAG & Agents

Enterprise AI Chatbots GenAI support for customers and employees Internal Copilots Role-aware assistants for business teams Knowledge Search / RAG Answers grounded in approved documents Document Summarization LLMs convert long content into insights Business Query Assistant Ask business questions in natural language GenAI Governance Access, audit, and controlled AI behavior

Security Intelligence Layer

AI-Driven Security Operations

AI for threat correlation, anomaly detection, vulnerability prioritization, SOC/NOC assistance, and security response workflows.

AI SecOps

AI Network Security ML detects unusual traffic behavior Threat Correlation AI connects alerts, assets, and users Anomaly Detection Models identify abnormal activity patterns SOC / NOC Intelligence AI support for triage and investigation Vulnerability Intelligence Risk-based AI prioritization of exposure OT / IoT / IIoT Security AI monitoring for connected industrial assets

Forecasting and Decision AI

Forecasting, Risk & Decision Intelligence

Predictive models and GenAI summaries that surface demand signals, risk patterns, operational drift, and decision-ready insights.

Predictive AI

Demand Forecasting ML forecasts volume, demand, and pressure Pattern Discovery AI finds hidden operational trends Risk Prediction Models predict failures and delays Performance Insights AI highlights bottlenecks and gaps Asset Health Insights AI tracks condition and behavior drift Management Decision Views GenAI summaries for leadership action

AI-driven maintenance intelligence for critical industrial assets

Condition Monitoring

Anomaly Alerts

Failure Risk Prediction

Maintenance Prioritisation

Work Order Integration

Reliability Reporting

Reduce equipment failure risk before downtime hits production

Use AI to detect asset risk before failure becomes visible

From asset signals to planned maintenance action

Asset Health Control Layer

Asset Signal Capture

Risk Pattern Detection

Maintenance Prioritisation

Action and Feedback

Want to assess predictive maintenance for your assets?

Maintenance intelligence that connects asset risk with action

Earlier Failure Visibility

Reduced Unplanned Downtime

Better Maintenance Prioritisation

Improved Spare Planning

Traceable Maintenance Actions

Continuous Model Improvement

Our Projects

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