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Manufacturing & Industrial Automation

Industry 5.0 is not a slogan — it is a balance sheet event. Manufacturers that pair industrial IoT with AI-driven decisioning are compressing downtime, scrap and energy cost simultaneously. Edge91 builds the data backbone and the intelligence layer that turn shop-floor signals into margin.

$3.8Tprojected AI value-add to global manufacturing by 2035
30–50%reduction in unplanned downtime with predictive maintenance
78%of manufacturers piloting or scaling AI in operations by 2026
The Decade Ahead

2026 → 2036: what changes

Through 2036, the factories that win will be the ones that treat data as a raw material. Digital twins simulate lines before a single bolt moves; computer-vision inspection catches defects the human eye cannot; agentic AI schedules maintenance, procurement and logistics as one continuous optimization. The gap between AI-native plants and traditional ones is compounding every quarter — and it starts with unified operational data.

What we hear from manufacturing leaders

  • Decades of siloed OT/IT systems — MES, SCADA, ERP — that cannot share a single version of truth
  • Unplanned downtime and reactive maintenance eroding OEE and delivery reliability
  • Quality escapes that surface at the customer instead of at the station
  • Workforce transitions: tribal knowledge retiring faster than it can be documented
What Edge91 Builds Here

Our Manufacturing practice

Predictive Maintenance Platforms

Sensor ingestion, anomaly detection and remaining-useful-life models that schedule intervention before failure — integrated straight into your CMMS and ERP.

Computer-Vision Quality Inspection

Camera-based defect detection on the line with continuously learning models, replacing sample-based QC with 100% inspection.

Digital Twin & Simulation

Virtual replicas of lines and plants for what-if scheduling, throughput optimization and capex decisions made on evidence, not instinct.

Smart ERP & MES Integration

A unified data plane across shop floor and top floor — production orders, inventory, costing and traceability in one intelligent flow.

Supply-Chain Intelligence

Demand forecasting, supplier-risk scoring and inventory optimization models that keep working capital lean without starving the line.

Energy & Sustainability Analytics

AI-driven energy monitoring and process optimization that cut cost per unit while reporting emissions with audit-grade accuracy.

Wondering which of these moves the needle first in manufacturing? Ask the engineers who build them.

In Production

What this looks like deployed

  • A single dashboard fusing OEE, quality, energy and order status across plants
  • Vision models flagging micro-defects at line speed with operator-in-the-loop review
  • Maintenance work orders auto-raised from vibration and thermal anomaly signals
  • Agentic scheduling that re-plans production when a supplier slips or a machine drifts
Verticals We Cover

Inside Manufacturing

Discrete ManufacturingProcess IndustriesAutomotive & EVElectronics & High-TechIndustrial IoT & RoboticsSupply Chain & Logistics

Bring AI-native operations to manufacturing.

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