Predictive Maintenance AI
Forecast equipment failure, detect abnormal behavior, and reduce unplanned machine downtime.
- Sensor data modelling and anomaly detection
- Maintenance risk scoring and alerting
- Failure pattern dashboards for teams
Products
Productized AI, ML, and digital twin solutions.
lean2automate offers configurable product modules that can be deployed as pilots, integrated into existing systems, or expanded into long-term automation platforms.
Live product graphic
Product modules connected to operational signals.
The graphic animates the flow between AI models, digital twin simulations, inspection, automation bots, and command dashboards.
Active modules
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Signal flow
Live
Digital Twin Studio
Create virtual models of machines, production lines, facilities, or processes for simulation and monitoring.
- Asset, line, process, and workflow twins
- Live data overlays and scenario simulation
- Bottleneck, capacity, and downtime analysis
Process Intelligence Engine
Map operational flow, identify friction, and recommend automation opportunities across departments.
- Workflow mining and cycle-time analysis
- Manual task detection
- ROI and priority scoring
Quality Vision & Inspection
Use AI-assisted inspection flows to improve quality visibility and reduce repeated manual checks.
- Image-based defect detection workflows
- Inspection reporting dashboards
- Quality trend and root-cause signals
Workflow Automation Bots
Automate approvals, reporting, documentation, reminders, routing, and back-office task flows.
- Human-in-the-loop task automation
- Email, spreadsheet, CRM, ERP, and API flows
- Audit trails and operational controls
Operations Command Center
Bring AI insights, machine health, process status, and business KPIs into one decision layer.
- Live dashboards and role-based views
- Alerts, metrics, and executive reporting
- Integration with existing data sources
Deployment models
Start with the right level of commitment.
Discovery pilot
Validate data, workflow fit, feasibility, and expected business impact.
Implementation sprint
Build the product module, connect systems, test with users, and launch.
Managed optimization
Monitor results, tune models, improve automation flows, and scale adoption.
Product consultation