Manufacturing
The factory floor generates more data per hour than most enterprises generate in a day. The question is whether you are using it.
Industry Context
Manufacturing is in the middle of its fourth industrial revolution. IoT sensors on production lines generate terabytes of operational data. SCADA and MES systems control processes with millisecond precision. Supply chains span continents and depend on real-time visibility to avoid disruptions that cost millions per hour of downtime.
Yet most manufacturers operate with a fundamental disconnect: the operational technology (OT) that runs the plant and the information technology (IT) that runs the business exist in separate worlds. Production data lives in historian databases that business analysts cannot query. Quality metrics are tracked in spreadsheets. Predictive maintenance is aspirational. And the convergence of IT and OT creates a security attack surface that most organizations are not prepared to defend.
The manufacturers winning in this environment are the ones building unified data platforms that bridge IT and OT, deploying AI for predictive maintenance and quality optimization, and implementing zero trust security architectures that protect industrial control systems without disrupting operations.
How We Help Manufacturing Organizations
IoT & Industrial Data Platforms
We design data architectures that bridge the IT/OT divide. Edge computing for real-time processing at the sensor level. Streaming pipelines for production data aggregation. Cloud data lakes for cross-plant analytics. All with the latency characteristics and reliability guarantees that manufacturing operations require.
Predictive Maintenance
Machine learning models trained on vibration, temperature, pressure, and acoustic data from production equipment. Anomaly detection that identifies degradation patterns weeks before failure occurs. Maintenance scheduling optimization that minimizes downtime while maximizing equipment life.
OT Security
Security architectures for industrial control systems that protect against cyber threats without disrupting production operations. Network segmentation between IT and OT zones. Monitoring and anomaly detection for SCADA and PLC communications. Incident response plans specific to manufacturing environments.
Supply Chain Data Pipelines
Real-time visibility platforms that integrate supplier data, logistics tracking, inventory management, and demand forecasting into unified dashboards. Event-driven architectures that trigger automated responses to supply disruptions.
Key Capabilities
- IoT sensor data platform architecture (edge, fog, cloud tiers)
- Industrial data lake design for cross-plant analytics
- Predictive maintenance ML model development and deployment
- OT/ICS security architecture and zero trust segmentation
- SCADA and MES system integration and modernization
- Supply chain visibility and analytics platforms
- Quality management system (QMS) automation
- Digital twin architecture for production simulation
- Energy management and sustainability analytics
- Regulatory compliance automation (FDA, EPA, OSHA)
Manufacturing-Specific Security Considerations
Manufacturing environments present unique security challenges:
- IT/OT Convergence -- Connecting previously air-gapped industrial systems to enterprise networks creates new attack vectors that traditional IT security tools cannot monitor
- Legacy Protocols -- Modbus, OPC, and proprietary PLC protocols were designed without security considerations and cannot be encrypted or authenticated without architectural intervention
- Uptime Requirements -- Production lines cannot be patched on the same schedule as office workstations; security architectures must accommodate operational constraints
- Safety Systems -- Compromise of safety instrumented systems (SIS) has physical consequences beyond data loss
Our security architectures address these challenges through layered defense: network segmentation, protocol-aware monitoring, secure remote access for maintenance, and incident response plans that account for both cyber and physical safety.