Real Impact AI Solutions for Manufacturing

Enhancing Production Efficiency and Innovation with Advanced AI Technologies

The AI Challenges Manufacturing

By leveraging AI technology, manufacturers can now streamline processes and optimize costs. However, despite significant data advancements in the last five years, AI solutions still require attention to transition from proof of concept (PoC) to production. A solid foundation and data best practices are crucial for maximizing AI's benefits and delivering tangible results.

82% of manufacturing executives mentioned data-related issues as a crucial factor that could risk their company's future success with AI.

MIT Technology Review Insights

82%

Quality inspector

Automate your production quality control

Quality control is vital in production, but traditional approaches are slow and error-prone. Quality Inspector offers efficient, reliable inspection using tailored visual models. Achieving over 99.8% accuracy, it speeds up quality control time by up to 90% and handles complex cases, like 3D, X-ray, and heat cameras, integrating seamlessly into existing setups.

Certified solution

Certified solution

Certified solution

Demand Forecasting

Precise Predictions for Manufacturing Efficiency

In manufacturing and warehouses, inaccurate forecasting leads to significant margin loss and potential production delays. Upgrade from basic predictive methods to adaptable and resilient production planning to decrease under-or over-supply. Our expertise combines historical production or sales data with diverse sources such as supply chain logistics, material availability, and production efficiency, enabling precise predictions accounting for industry-specific cycles, technological advancements, and regulatory changes.

Predictive maintenance

Preventing Downtime, Boosting Efficiency

Predictive maintenance based on IIoT helps you avoid spending time putting out (metaphorical, we hope) fires. Prevent costly downtime and proactively manage your assets by leveraging on-premise and cloud computing to extend maintenance scheduling. By assessing industrial equipment conditions predictively, you can forecast machinery issues, enhance efficiency, and improve safety.

Interested in these solutions or seeking something tailored? Get in touch with us.

Featured Case Study

Digital Twin Platform & Anomaly Detection for Acond Heat Pumps 

"The platform has revolutionized the way we approach heat pump maintenance and efficiency. With real-time data and AI-driven insights, we're not just preventing problems before they occur but also enhancing the overall user experience for our customers." 

Viktor Šobek

R&D Manager, Acond, heat pump Manufacturer

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Key contacts

Jan Císař - DataSentics

Jan Císař

Vertical AI Solutions PreSales Lead

Fanny Frafer - DataSentics

Fanny Frafer

Vertical AI Solutions France Lead