IIoT & IoT Integration

AI use cases need connected, trusted and contextual machine data

Industrial AI cannot work on scattered signals, manual readings or disconnected machine logs. It needs timely data from machines, sensors, edge gateways and production systems with enough context to make predictions useful.

Sampark structures IIoT integration around AI readiness: what needs to be sensed, how it should be filtered, where context should be added and which systems should receive insights.

The result is a data flow that supports predictive maintenance, anomaly detection, quality intelligence, energy optimisation and production monitoring instead of only passive dashboards.

Industrial AI works better when the data layer is built correctly

Sampark focuses on IIoT integration that prepares live industrial data for prediction, anomaly detection, maintenance intelligence and operational action.

AI-Ready Machine Data

Capture and structure machine data so AI models receive cleaner, contextual and more reliable input signals.

Earlier Failure Indicators

Use condition and behaviour patterns to detect potential equipment issues before they turn into unplanned downtime.

Stronger Anomaly Visibility

Identify abnormal readings, process drift, energy spikes and equipment behaviour that standard dashboards may miss.

Maintenance Workflow Alignment

Route AI alerts and risk indicators into maintenance queues, work orders, review flows or escalation processes.

Better Quality Intelligence

Connect process parameters with quality signals so teams can investigate deviations and recurring defect patterns.

Scalable AI Foundation

Build a connected architecture that can support additional lines, assets, plants and industrial AI use cases 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-ready industrial connectivity for predictive and intelligent operations

AI-Ready Signal Capture

Edge Filtering and Context

Anomaly Detection

Predictive Maintenance Inputs

Quality and Process Signals

AI Alert and Action Flow

Prepare your industrial data for AI-driven operations

AI use cases need connected, trusted and contextual machine data

From machine signals to AI-led operational action

Industrial AI Signal Control

Sense and Capture

Clean and Contextualise

Detect and Predict

Act and Improve

Planning AI use cases on top of machine data?

Industrial AI works better when the data layer is built correctly

AI-Ready Machine Data

Earlier Failure Indicators

Stronger Anomaly Visibility

Maintenance Workflow Alignment

Better Quality Intelligence

Scalable AI Foundation

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