Manufacturers
AI workers for manufacturing operations
Deploy role-specific AI workers across production planning, procurement, quality control, logistics, and supply chain risk management.
Explore Mina AI Manufacturing AI Workers
Role-specific workers built for manufacturing
Each AI worker carries domain expertise, plugs into your manufacturing systems, and executes under real-time production pressure. Browse, select, deploy.
24/7 across every shift
Always operational, no downtime between shifts or handovers
Domain expertise built in
Trained on manufacturing operations, not generic AI models
Custom to your company
Configured to your ERP, MES, and operational stack
Intelligence, not automation
AI workers that reason through procurement
When MRP signals a material shortage, your team manually checks suppliers, compares quotes, and negotiates terms. The Procurement AI worker does this in minutes.
Reads demand signals from MRP and inventory systems
Analyzes supplier history: pricing, quality, lead times
Generates RFQs with precise specs and evaluation criteria
Scores bids on weighted criteria and recommends the best option
Full audit trail with transparent reasoning steps
Material Shortage: Titanium Sheet Grade 5
Inventory at 40% — auto-procurement triggered
Demand signal detected
Analyzing supplier landscape
Generating and distributing RFQ
Scoring supplier responses
Recommendation submitted
End-to-end encryption
TLS 1.3 + AES-256 on all data
Zero data leakage
Your data never leaves your network
Full audit trail
Every AI action logged and traceable
Role-based access
Granular permissions per worker
Security and Privacy
Enterprise-grade protection, built in
AI workers run inside your environment. Your data never leaves your network. Every action is encrypted, logged, and auditable.
Designed for regulated manufacturing environments where data residency, access control, and compliance are non-negotiable.
Ready to deploy AI workers across your operations?
Start with one AI worker. Target your most painful workflow. Measure the results. Then scale across your operations.