Our services in Artificial Intelligence (AI) along with Analytics and IoT is helping drive value across industries. Our AI solution helps to integrate data, analyze it, and draw inferences & insights for improved predictions, which enables informed decision-making.
We use Machine Learning to crunch huge datasets to spot patterns and trends and use them to build models that predict futuristic scenarios. Prescient solutions helps to power Analytics, Robotics, Predictive Maintenance and Automated processes which in turn helps to make the companies, plants and factories become more innovative, efficient, profitable and safe.
Our services in Artificial Intelligence (AI) along with Industrial IoT (iIoT) is helping drive value in Industry 4.0. Our AI solution helps to integrate data, analyze it, and draw inferences & insights for improved predictions, which enables informed decision-making.
We use Machine Learning to crunch huge datasets to spot patterns and trends and use them to build models that predict futuristic scenarios. We help manufacturing companies to forecast fluctuations in demand and supply, estimate the best intervals for maintenance scheduling, and spot early signs of repairs/ anomalies.
The Prescient Infotech AL & ML solutions helps to power Analytics, Robotics, Predictive Maintenance and Automated processes which in turn helps to make the plants and factories become more innovative, efficient, profitable and safe.
Enquiry NowCustomized machine learning implementation, artificial intelligence algorithms and systems integration both on- cloud and locally.
Turn your information in to insights with our ‘Analytics as a Service’ workbench. From preparing your data for driving analytics to predicting on parameters you value.
Bespoke software solutions for unique use cases and targeted needs. Build applications at scale that supports your growth, seamlessly.
Industrialised AI, integration with IoT devices, from Edge to Cloud that helps legacy businesses lead the industrial value chain.
Improve asset tracking accuracy, supply chain visibility, and inventory optimization.
Improve predictive maintenance through better adoption of ML techniques like analytics, Machine Intelligence driven processes & quality optimization.
Develop products with increased customer value, minimize risks in new product introduction. Reduce supply chain forecasting error, reduce lost sales to increase better product availability.
Real time monitoring of operational loads on production floor to provide insights into the production schedule performances, accurate “Root Cause Analysis” to improve processes.
Achieve significant reduction in test and calibration time via accurate prediction of calibration and test results using AI & Machine Learning.
Improving the accuracy of detecting costs of performance degradation across multiple manufacturing scenarios that reduces costs by 50% or more.