Industry 4.0: Digital transformation in the manufacturing industry

Applying machine learning to market data, sales trends and product specifications to predict future sales accurately than traditional prediction methods. We build prediction-based systems that help companies grow in new market segments based on the sales prediction.

The quality of products can be modeled based on data about materials collected using Computer Vision and Machine Learning. A good AI model for manufacturing reduces the cost of inspections and saves time by only examining higher risk areas. By visualizing models, warnings can be predicted much earlier, enhancing the overall yield.

IoT technology has now connected almost every device to the internet, offering value-added services. By leveraging AI-based models, we develop smart products that learn from historical data analysis, enabling systems to enhance and execute faster than before.

We help manufacturing companies improve their customer services by developing AI-based apps that identity the way customer interacts with services or products and deliver them the personalized experiences based on their behaviour analysis.

AI-based apps built by our team predict the equipment failure signs before they even occur. Understanding the historical data, including vibration level, electrical current and sound created by the equipment, our team builds highly-accurate models to enhance maintenance operations. Insights generated by AI apps improve effectiveness while slashing maintenance costs.

Research & Development are important for manufacturing. Any organization that transforms through R&D is expected to lead the market. Implementing AI in Manufacturing can enhance a multitude of R&D methods. When AI is applied to the R&D process, it can speed up the prototype and product development by identifying the materials for the final product and prototype parts that are likely to fail and enabling product data exploration and discovery.