Get deep insights into black-box like operations through Computer Vision.Computer Vision on raw materials and finished goods to get real-time visibility on key properties like size, color and quality for enhanced operational control.Unravel black-box equipment control by augmenting tabular data with hitherto unstructured data to significantly improve decision-making.Drive productivity and efficiency across all sectors.

Solve complex multivariate optimization problems.Patented Machine Learning engine to solve multivariate problems such as optimal line balancing, equipment scheduling and workforce allocation.10% improvement in productivity with higher OTIF and lower cost of inventory and logistics.Drive productivity in a complex multi-SKU and multi equipment environment.

End-to-end maintenance platform for predictive maintenance, resource allocation and last-mile execution.Ripik Maintenance provides a high level of supervision using patent pending ML-based predictive algorithms.Manage all maintenance workflows centrally with ability to track all last mile execution in one place.Applicable across all industries.

Digital Twin for core process improvement with SCADA connectivity.Suite of core AI based APCs that help optimize large equipment yield, energy and throughput.Real-time process optimization using AI-ML for set-point and dosage control.Applicable across all sectors with large and complex equipment such as blast furnace, digesters and boilers.

Get Machine Learning models without a single line of code.Auto ML platform for rapidly building models without a data scientist.Get deep process insights through Partial-Dependence-Plots that significantly improve decision making.Drive productivity and efficiency across all sectors.