DataProphet

Prescriptive machine learning for production lines

DataProphet works in industrial intelligence, bringing machine learning into manufacturing plants. Its site describes it as an advisory and technology firm that turns production data into real value. The approach uses the data streams that a plant's line equipment already produces, and the firm says its aim is to pre-empt production problems before they reach the line, because real-time troubleshooting comes too late for most manufacturers.

How the AI works on existing machine data

DataProphet's AI-as-a-service solutions use deep learning to search for a plant's most efficient operating setup across machine setpoints and process control parameters. The site says the solutions combine specialized industrial process knowledge with settings that users can configure, which allows a plant to move quickly into digital transformation. The firm says this needs no extra capital expenditure, no reinvention of processes and no additional experts, because it works from data the plant already owns.

Prescriptions for quality, scrap and defects

The output is a set of high-impact adjustments, prescribed in advance of problems showing up on the line. The firm says these help a plant meet its quality targets, reduce scrap and defects, and optimize manufacturing processes ahead of real-time monitoring. Root-cause fault analysis is generated automatically, with measures that operators can apply immediately, which the firm says limits the number of defective batches or parts produced while a machine behaves faultily.

Asset, capacity and waste management

Prescriptive asset management aims to reduce machinery and equipment downtime ahead of time and to increase capacity. Resource and waste management is presented as a way of keeping production at full capacity while cutting waste and managing plant resources responsibly.

Integration and claimed returns

The solutions are designed to fit into existing plant systems and to improve key performance indicators across the whole production line. The firm says its solutions guarantee a return on investment within the first year of deployment. The site presents this as the firm's own claim rather than an independently verified result.