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.