Fabric Inspection
Check fabric for holes, stains, surface defects, weave differences, and pattern issues.
Manufacturing & Supply Chain
AI For Manufacturing That Turns Data Into Action
Connect production, quality, maintenance, inventory, and workforce data in one AI platform. Spot risks early, improve plans, and automate routine decisions with human approval.
On-premise, private cloud, or cloud · Role-based access · Human approvals · Audit trails
- Connect ERP, MES, WMS, databases, machines, cameras, APIs, and files
- Deploy on-premise, in a private cloud, or in the cloud
- Keep people involved in critical decisions
- Control access and record every workflow action
Connected Manufacturing Data
Turn Disconnected Manufacturing Data Into Faster Decisions
Manufacturers already produce large amounts of data. It comes from machines, inspection stations, ERP systems, warehouse tools, cameras, and spreadsheets. But this data often stays in separate systems, and teams must collect it by hand before they can act.
- Maintenance teams react after a machine stops
- Quality teams find defects after production moves forward
- Planners spend hours joining demand, stock, and capacity data
- Teams buy material even when another warehouse has stock
- Supervisors cannot easily track unattended workstations
- Important actions depend on emails and manual follow-ups
Mimasa AI connects these signals and helps teams move from a warning to a clear next step. The platform can detect an issue, explain it, recommend an action, request approval, and start the approved workflow using connected plant data.
AI In Manufacturing
One AI Platform Across Manufacturing Operations
Manufacturing decisions affect each other. A machine problem can reduce capacity. A quality rejection can change available stock. A demand increase can create a material shortage. Mimasa AI creates a shared intelligence layer across these operations.
Industrial Predictive Maintenance
Predictive Maintenance
Find signs of equipment problems before they cause an unplanned stop. Mimasa AI can use equipment readings, operating history, breakdown records, and maintenance logs, so teams focus on machines that may need attention.
Mimasa AI supports maintenance teams. It does not replace their technical judgement.
- Monitor equipment-health trends
- Find unusual readings or behaviour
- Identify machines with higher maintenance risk
- Bring service history into one view
- Alert the right maintenance team
- Start an inspection or approval workflow
Quality Inspection Software
Visual Inspection And Quality Control
Automate high-volume visual checks with cameras, computer vision, and AI-assisted workflows. Mimasa AI can link an inspection result with the component, batch, operator, and production record, then save the evidence and alert the quality team.
Critical Component Leakage
Monitor a selected area during wet or dry pressure testing and flag visible signs linked to possible leakage.
Batch-Code Printing
Check whether the batch code is present, readable, in the expected position, and consistent with production data.
Assembly Completeness
Check whether required parts are present, then flag missing, misplaced, or visibly different components for review.
- Surface-defect detection
- Weld and joint inspection
- Label and packaging checks
- Component orientation checks
- Colour or model verification
- Presence-or-absence checks
The quality inspection software can combine image capture, AI inspection, human review, alerts, dashboards, and digital traceability.
AI Production Planning
Production Planning And Material Management
Build better production plans with a clear view of demand, orders, materials, inventory, and capacity. Mimasa AI brings these inputs together, highlights constraints, and explains why a plan may be at risk.
Planners remain in control. Mimasa AI reduces the time spent collecting and matching data, and can publish the result through planning dashboards.
- Compare forecasts with confirmed orders
- Check raw-material availability
- Find possible material shortages
- Review machine and line capacity
- Set priorities based on due dates
- Test the effect of a delay or demand change
- Send planning exceptions to the right team
- Route purchase or scheduling recommendations for approval
Inventory Optimization Software
Inventory And Supply Chain Optimization
Make stock decisions using demand, warehouse inventory, lead time, freight cost, and transfer time. Mimasa AI helps teams answer a practical question: should we buy this material from a supplier, or move it from another warehouse?
These supply chain optimization tools add intelligence to your current ERP, WMS, and planning systems. They do not require you to replace them. Prepared data stays reusable through no-code data transformation.
- Forecast demand by product, material, or SKU
- Compare stock across warehouses
- Find possible stockouts
- Identify excess or slow-moving inventory
- Compare internal transfer with new purchase
- Consider freight cost and supplier lead time
- Recommend replenishment quantities
- Start purchase or stock-transfer approvals
Manufacturing Workflow Automation
Workforce And Workstation Adherence
Track simple workstation events without watching hours of video. Mimasa AI can combine camera events, shift schedules, and machine status, then alert supervisors when a clear rule is not followed.
The system reports defined events. It does not guess a worker’s intent or make unsupported claims about productivity. Workforce monitoring should follow local law, company policy, and employee privacy rules.
- Measure how long a workstation is unattended
- Count how often an operator leaves an active machine
- Find long absences during a production cycle
- Check coverage at critical stations
- Compare presence with planned break times
- Verify visible protective equipment
- Monitor simple and clearly defined process steps
- Send an alert when absence crosses a set limit
- Create shift-level adherence summaries
How It Works
How Mimasa AI Works In Manufacturing
- 01
Connect Your Data
Connect ERP, MES, WMS, databases, APIs, spreadsheets, machine logs, sensors, and cameras. Mimasa AI works with your current stack and does not require a full system replacement.
- 02
Build Trusted Context
Bring production, quality, maintenance, and supply chain data into governed datasets, then control who can view, change, or use that data.
- 03
Detect, Predict, Or Optimise
Use computer vision for inspection, forecasting for demand and inventory, machine learning for risk patterns, business rules for fixed policies, and AI agents for exceptions.
- 04
Recommend An Action
Turn a result into a clear next step such as a machine inspection, quality review, stock transfer, purchase, or plan change, with the supporting data shown.
- 05
Approve And Act
Send important actions to an authorised person. After approval, the workflow can create a task, send an alert, or update a connected system. Every step is recorded.
Connected Decisions
Connect Quality, Production, Inventory, And Supply Chain Decisions
Point solutions often stop after they find a problem. Mimasa AI connects that problem to the next business decision, so one inspection event becomes a complete and traceable workflow through agentic workflow automation.
- 01A visual inspection finds a quality issue.
- 02The system records the affected component or batch.
- 03Available finished-goods stock is updated.
- 04The production plan is checked again.
- 05Material needs are recalculated.
- 06Stock in other warehouses is reviewed.
- 07A transfer or purchase option is sent for approval.
Manufacturing AI Solutions By Role
Built For Every Manufacturing Team
Plant And Operations Leaders
See production risks, open exceptions, and actions across plants, lines, and shifts.
Quality Teams
Automate repeat checks, review saved evidence, and keep a clear record of each decision.
Maintenance Teams
Focus on machines that show signs of risk and plan inspections before a major breakdown.
Production Planners
Bring demand, orders, material, inventory, and capacity into one planning view.
Supply Chain And Procurement
Compare purchase and warehouse-transfer choices using cost, time, and availability.
Plant Supervisors
Find unattended stations and simple process exceptions without constant video review.
CIOs And Manufacturing IT
Deploy AI within the required infrastructure and keep access, data, and workflow actions under control.
Why Mimasa AI
Why Manufacturers Choose Mimasa AI
Start With One Clear Use Case
Begin with one machine, component, line, plant, or workflow, then prove the value before expanding.
Move Beyond Dashboards
Do more than report a problem. Start the next approved action from the same platform.
Keep People In Control
Add human approval to safety, quality, purchase, and production decisions.
Use Different Types Of Data
Work with records, spreadsheets, documents, images, video, and equipment logs.
Match Plant Rules
Set thresholds, inspection rules, approval steps, and alerts for each process.
Choose Where To Deploy
Run Mimasa AI on-premise, in a private cloud, or in a managed cloud setup.
Connected Data Intelligence Stack
Secure AI Across The Plant And Supply Chain
Manufacturing data is sensitive, so controls matter as much as models. The final setup depends on plant connectivity, response-time needs, integrations, and data policy.
- Role-based access
- Human approval steps
- Encryption in transit and at rest
- Audit records for agent and workflow actions
- Configurable data-retention rules
AI Agents
Build purpose-specific agents that read plant context and act within defined limits.
Agentic Workflow Automation
Coordinate triggers, rules, approvals, and exceptions across plant systems.
Data Extraction And Connectivity
Connect ERP, MES, WMS, databases, machine logs, and uploaded files.
Data Governance And Collaboration
Apply role-based access, controlled sharing, and audit trails to plant data.
No-Code Data Transformation
Clean, join, and calculate production data in plain language, without code.
Visualisation And Dashboards
Build production, quality, and inventory dashboards from simple requests.
Insights, Analysis And Reporting
Turn plant analysis into written insight, shift reports, and review packs.
First Project
Start With One Manufacturing Problem
You do not need to redesign the whole factory before using AI. Start with a problem that is frequent, measurable, and costly. Mimasa AI can help map the current process, review available data, and identify the best first workflow.
- A repetitive visual quality check
- A high-cost machine breakdown
- A recurring material shortage
- Manual production-plan updates
- Excess stock across warehouses
- A critical station that is often unattended
Manufacturing AI Questions
Common questions about AI in manufacturing, predictive maintenance, inspection, planning, and deployment.