Maayan Technologies Digital Thread / Digital Twin services help organizations unify data across design → manufacturing → operations → service to create a connected, traceable, and insight-driven enterprise. We build the foundation for real-time operational visibility and “closed-loop” improvement—so changes in products, processes, and assets are captured, analyzed, and acted on faster.
A Digital Thread connects lifecycle data end-to-end. A Digital Twin uses that connected data to represent a product, asset, line, or facility—often in near real time—for monitoring, simulation, and optimization.
Digital Thread and Digital Twin programs deliver measurable outcomes when they connect to business workflows:
Faster time-to-decision with unified, trusted lifecycle data
Higher uptime and reliability through predictive insights and anomaly detection
Improved quality and traceability across product and production changes
Lower cost-to-serve through proactive maintenance and guided operations
Faster innovation by closing the loop from field feedback to engineering
Better compliance with audit-ready records and end-to-end traceability
We tie thread/twin programs to measurable KPIs—OEE, downtime, throughput, scrap/yield, energy intensity, MTBF/MTTR, and OTIF.
We build the lifecycle data foundation first (design → manufacturing → service), so twins are accurate, trusted, and scalable—not isolated models.
Strong integration across PLM, MES/MOM, ERP, QMS, CMMS/EAM, historians, IIoT platforms, and analytics—using governed data models and version control.
We convert visibility into execution with alerts, exception workflows, governance cadences, and action closure tracking.
Twins are designed for scenario planning—capacity, constraints, scheduling impacts, and change validation—reducing risk before execution.
Condition monitoring and predictive insights connect directly to maintenance workflows—improving uptime and reducing unplanned failures.
Role-based access, audit trails, data quality, and secure OT connectivity are embedded for enterprise and industrial readiness.
Rapid pilots prove ROI quickly, followed by repeatable rollout playbooks for multi-line, multi-site expansion and continuous optimization.
We combine advanced business models and rapid digital technology development — including hyper-intelligent automation, artificial intelligence and analytics — to spark a new wave of innovation in business process operations.
Maayan Technologies Digital Thread / Digital Twin services unify data across design, manufacturing, operations, and service—creating a connected “digital thread” and actionable digital twins for assets, processes, lines, and facilities.
Define the target state, prioritized use cases, and pilot-to-scale rollout plan aligned to measurable KPIs.
Capabilities include:
Use-case discovery workshops and ROI/value assessment (OEE, quality, energy, reliability)
Target architecture and governance model (data, security, ownership)
Phased rollout roadmap (pilot → plant → multi-site) with KPI framework
Operating model alignment across engineering, operations, IT, and security
Build a trusted data layer by integrating lifecycle and operational systems into a consistent model.
Capabilities include:
Data architecture for lifecycle + operations visibility
Integration across engineering, manufacturing, and service data sources
Common data model, taxonomy, and master data governance
Data quality rules, lineage enablement, and trust layer foundations
Create digital twins that represent assets, processes, or products for monitoring, decisioning, and optimization.
Capabilities include:
Asset/process modeling (structure, states, events, KPIs)
Real-time or near real-time twin enablement (as applicable)
Twin dashboards, alerts, and exception management workflows
Twin lifecycle management (versioning, updates, scaling standards)
Deliver role-based dashboards that drive daily execution and performance management across sites.
Capabilities include:
Operational dashboards (OEE, downtime, scrap, yield, throughput, energy)
Multi-site benchmarking, scorecards, and exception monitoring
Early-warning indicators and operational alerting patterns
Daily/weekly governance routines and action closure tracking
Use the twin to test changes before execution and continuously improve performance.
Capabilities include:
Scenario planning for capacity, throughput, constraints, and scheduling impacts
Bottleneck identification and optimization opportunity analysis
Validation of process changes and risk reduction before rollout
Optimization routines tied to measurable operational outcomes
Improve reliability with predictive insights and maintenance workflows built on connected operational data.
Capabilities include:
Critical asset identification and condition monitoring strategy
Anomaly detection/threshold patterns and predictive insights (where applicable)
Maintenance triggers, workflows, and reliability KPI dashboards (MTBF/MTTR)
Continuous improvement loop for maintenance strategy effectiveness
Strengthen quality and compliance by linking design/process changes to production outcomes and field feedback.
Capabilities include:
Traceability models (design/process parameters → production outcomes)
Non-conformance analysis and root-cause enablement workflows
Quality dashboards and audit-ready evidence structures
Feedback loop from operations/service to engineering for improvement
Operate and improve digital thread/twin platforms with reliability, governance, and value-led optimization.
Capabilities include:
Monitoring and support for pipelines, integrations, and twin services
Incident/problem management and performance tuning
Cost optimization, reliability improvements, and security posture management
Continuous improvement backlog and periodic value reviews
With digital technology evolving rapidly and digital process automation services in high demand, organizations need comprehensive, industry-tailored business process services and solutions to move confidently into the next generation. Our industry practices are strengthened by the expertise and perspectives of domain specialists from around the world, ensuring our clients are ready for the digital process challenges ahead.
Maayan’s Digital Thread / Twin accelerators and enablers help you connect lifecycle data faster, scale across plants/sites, and sustain measurable value—using proven reference architectures, standardized data models, KPI packs, and rollout playbooks.
Digital Thread / Twin reference architectures (plant-to-enterprise patterns)
Common data model + asset taxonomy templates (site/line/machine hierarchy)
KPI library and dashboard packs (OEE, loss tree, quality, energy, reliability)
Integration patterns and reliability playbooks for lifecycle + OT/IT data flows
Simulation and scenario analysis playbooks (bottleneck and impact analysis)
Security-by-design toolkit (access controls, audit logs, governance routines)
Pilot-to-scale rollout playbook with adoption and benefits tracking
At Maayan Tech, we are committed to providing exceptional service and support. Your questions, feedback, and inquiries are important to us, and we will do our best to respond promptly. Whether you’re a business seeking technology solutions or an individual with a query, we are here to assist you.
