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Transform your operations with data engineering and AI
Complex supply chains are prompting industrial companies to push for complete visibility into the performance of their assets and logistics. Sigmoid helps manufacturers digitize operations by integrating data from siloed sources and IoT-enabled sensors to deliver near real-time insights. We enable advanced analytics on highly customizable dashboards, providing faster access to quality data and insights for manufacturing leaders.
Industrial manufacturing analytics for better decision-making
- Create SSOT for data across plants, equipment, and geographies
- Ingest real-time device data from multiple plants
- Integrate manufacturing data from SCADA systems and IoT sensors
- Centralize machine monitoring and diagnosis
Find out how we automated data ingestion from 30+ sources and built a robust data hub for a Fortune 500 manufacturer.
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- Enable real-time, integrated, and omniscient supply chain
- Centralized hub monitoring real-time data on dashboards
- Streamline processes for end-to-end visibility into supply chain
- Detect anomalies and recommend solutions
See how Sigmoid's ML-based demand forecasting improved a customer's forecasting accuracy and reduced costs by 5x.
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- Ensure performance and minimize downtime with predictive insights
- Improve productivity and overall equipment effectiveness
- Enhance quality with anomaly detection and reliability analysis
- Identify new emerging risk behaviors and reduce bad alerts
Sigmoid built and automated an AI system to improve the customer's OEE by 2.5%, providing real-time alerting and recommendations.
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- Enable live tracking and analytics implementation
- Accelerate journey to autonomous operations with digital twin
- Gain end-to-end visibility across inventory silos
- Real-time intelligence and actionable recommendations
Sigmoid’s IIoT analytics re-architected data pipelines for a top manufacturer, delivering 10x improvement in dashboard performance.
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Production

- Create SSOT for data across plants, equipment, and geographies
- Ingest real-time device data from multiple plants
- Integrate manufacturing data from SCADA systems and IoT sensors
- Centralize machine monitoring and diagnosis
Find out how we automated data ingestion from 30+ sources and built a robust data hub for a Fortune 500 manufacturer.
Read case studySupply Chain

- Enable real-time, integrated, and omniscient supply chain
- Centralized hub monitoring real-time data on dashboards
- Streamline processes for end-to-end visibility into supply chain
- Detect anomalies and recommend solutions
See how Sigmoid's ML-based demand forecasting improved a customer's forecasting accuracy and reduced costs by 5x.
Read case studyQuality

- Ensure performance and minimize downtime with predictive insights
- Improve productivity and overall equipment effectiveness
- Enhance quality with anomaly detection and reliability analysis
- Identify new emerging risk behaviors and reduce bad alerts
Sigmoid built and automated an AI system to improve the customer's OEE by 2.5%, providing real-time alerting and recommendations.
Read case studyOperational Intelligence

- Enable live tracking and analytics implementation
- Accelerate journey to autonomous operations with digital twin
- Gain end-to-end visibility across inventory silos
- Real-time intelligence and actionable recommendations
Sigmoid’s IIoT analytics re-architected data pipelines for a top manufacturer, delivering 10x improvement in dashboard performance.
Read case studyCustomer success stories

15% increase in capacity utilization with automated Master Production Schedule for a Fortune 500 biopharma manufacturer
- Near real-time visibility into operational metrics and KPIs
- 15% increase in capacity utilization
- 98% reduction in time for schedule generation


Automated preventive maintenance ML framework reduced irrelevant fault alerts by 70% for a leading industrial manufacturer
- 800+ sensors streaming data
- 100 TB monthly data processed
- Reduction in maintenance costs and irrelevant alerts

An AI system to deliver 2.5% improvement in OEE of machines, providing real-time alerting for a consumer goods manufacturer
- Automated alerts with faster insights across 40+ manufacturing plants
- 2.5% improvement in overall equipment effectiveness (OEE)
- Reduction in downtime and manufacturing costs