All Industries

Manufacturing Technology Solutions

From discrete manufacturing to process industries, we help manufacturers implement Industry 4.0 solutions that reduce downtime, improve quality, and optimize operations. Our expertise spans IoT, AI, and enterprise integration.

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Industry 4.0

Smart factory solutions with IoT and AI.

OT Expertise

Deep operational technology experience.

Real-Time Analytics

Millisecond-level insights from production.

Proven Results

67% reduction in unplanned downtime.

Solutions for Manufacturing

Industry 4.0 solutions that deliver measurable operational improvements.

Predictive Maintenance

Deploy ML models that predict equipment failures before they happen, reducing downtime and maintenance costs.

Outcomes

  • 67% less downtime
  • 45% lower maintenance costs
  • Extended equipment life
Applied AI & MLData Engineering

IoT Data Platform

Build scalable platforms that ingest, process, and analyze data from thousands of sensors in real-time.

Outcomes

  • Real-time visibility
  • Scalable architecture
  • Edge-to-cloud integration
Data EngineeringCloud Modernization

Quality Analytics

Implement ML-powered quality control that detects defects early and identifies root causes.

Outcomes

  • 35% fewer defects
  • Automated inspection
  • Root cause analysis
Applied AI & MLData Engineering

Supply Chain Intelligence

Gain visibility into your supply chain with predictive analytics for demand, inventory, and supplier risk.

Outcomes

  • Demand forecasting
  • Inventory optimization
  • Risk prediction
Applied AI & MLData Engineering

Digital Twin

Create digital representations of physical assets for simulation, monitoring, and optimization.

Outcomes

  • Asset simulation
  • Process optimization
  • What-if analysis
Digital TransformationData Engineering

MES Integration

Connect manufacturing execution systems with enterprise platforms for end-to-end visibility.

Outcomes

  • Real-time production data
  • ERP integration
  • OEE optimization
Data EngineeringDigital Transformation

Manufacturing Success Stories

Discrete ManufacturingEnterprise Client

Challenge

Unplanned equipment failures causing significant production losses and safety risks

Solution

IoT data platform with ML-based predictive maintenance across 50+ production lines

Azure IoT HubDatabricksPythonPower BI

Results

67%
Reduction in unplanned downtime
$8M
Annual savings from avoided failures
99.2%
Equipment availability
Heavy ManufacturingEnterprise Client

Challenge

Quality issues not detected until final inspection, causing rework and delays

Solution

Computer vision quality inspection with real-time defect detection and alerting

AWS SageMakerOpenCVSnowflakeKafka

Results

35%
Reduction in defect rate
80%
Faster defect detection
$2M
Annual savings from reduced rework
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Manufacturing Systems Expertise

SCADA/PLC Integration
Industrial control systems
MES Platforms
Siemens, Rockwell, SAP
IoT Platforms
Azure IoT, AWS IoT, PTC
ERP Systems
SAP, Oracle, Microsoft
Quality Systems
QMS integration
Edge Computing
Real-time processing

Explore related capabilities

Data Engineering
Pull SAP and shop-floor data together.
Databricks
IoT and predictive maintenance.
Cloud Modernization
Modernize aging analytics.

Manufacturing FAQ

Frequently asked questions

What manufacturing problems do you typically solve?
Supply-chain visibility, predictive maintenance, quality analytics, and pulling SAP and shop-floor data into one place you can report on. The common complaint is data trapped in systems that do not talk.
Do you work with IoT and shop-floor data?
Yes. We bring sensor and machine data together with ERP and quality systems so you can see the whole line, not one slice. Real-time where it earns its keep, batch where it does not.
Can you reduce unplanned downtime?
Predictive maintenance models that read sensor and maintenance history flag failures before they stop the line. We measure the downtime avoided against your baseline, not against a brochure.
How do you integrate SAP with everything else?
We move SAP data into a governed platform alongside MES, quality, and logistics, with the lineage to trace any number back to source. SAP stays the system of record; the platform makes its data usable.
How long does a manufacturing data project take?
A first governed use case, like supply-chain visibility or downtime prediction, in 10 to 14 weeks. We prove it on one line or plant before rolling it across the network.

Ready to Modernize Your Manufacturing?

Schedule a consultation with our manufacturing technology experts to discuss your challenges.

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