Manufacturers are constantly under pressure to deliver high-quality products while minimizing expenses and maximizing efficiency. Without a data-driven approach, they risk inefficiencies like slow quality control, wasted resources, and unpredictable energy costs. These inefficiencies can translate into production inconsistencies, dissatisfied customers, and ultimately, eroded profitability.

What we offer

Our shop floor data analytics offering provides a comprehensive solution by accelerating quality control, reducing defaults, enhancing efficiency and product reliability. We optimize resource allocation, cut operational costs, and proactively manage energy consumption using predictive models. Additionally, our solution boosts equipment uptime with predictive maintenance, minimizes downtime risks, and detects production anomalies facilitating corrective actions, ensuring performance.

Our Solutions

Quality Control

Automate your quality control with computer vision. Leverage deep learning to detect defects, foreign objects, anomalies, or incorrect setup. Our solution achieves high accuracy even in challenging conditions.

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Predictive Maintenance

Prevent downtime and boost efficiency. Utilize predictive maintenance to increase uptime of critical components or detect anomalies in production, forecast machinery issues and improve safety.

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Demand Forecasting

Upgrade from basic predictive methods to adaptable and resilient production planning to minimize under- or over-supply, optimizing inventory levels and saving operational costs

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Energy Management

Smartly reduce energy consumption by gathering data from IoT devices to achieve cost savings and improve sustainability

Our Customers

Major Aerospace Manufacturer

Quality Inspection

Developed an automated quality inspection system for airframes' rivets to replace manual inspection, cutting time by over 90% to just a few minutes, achieving a remarkable 99.97% accuracy with AI technology.

Major Aerospace Manufacturer

Quality Inspection

Food Replacement Manufacturer

Demand Forcasting

Optimized stock based on demand with tailored forecasting models for each channel, ensuring successful expansion into B2B markets without stock destructions. Early planning strategy maintained resilience against market changes, ensuring ongoing adaptability and profitability

Food Replacement Manufacturer

Demand Forcasting

Pulp, Paper and other Forest Products Manufacturers

Predictive Maintenance

Enhanced predictive handling of control room alarms minimizes unnecessary downtime, resulting in a 1% increase in Overall Equipment Effectiveness (OEE). Improved production efficiency and product quality

Pulp, Paper and other Forest Products Manufacturers

Predictive Maintenance

Related resources

Client Stories

Computer Vision reduces quality inspection lead time by 80%

Discover how a German manufacturer reduced quality inspection lead time by 80% with a Computer Vision-based solution

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Blog

Industry 4.0: The time for transformation is here

Promoting innovation using digitalization is becoming increasingly important with industry 4.0 technologies supporting and enabling this process

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News

Eviden announes a joint Asset Performance Management solution with Samotics

The collaboration will bring a comprehensive remote asset monitoring solution to global industrial companies and deliver advanced data analytics to drive energy-efficient operations, and reduced energy waste.

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Want to learn more?

Connect with us to discuss your transformation needs and challenges and get support from our experts

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