DataProphet specializes in optimizing the complex manufacturing processes of key industrial verticals with state-of-the-art machine learning. Our AI-driven solutions leverage the existing data streams from your plant’s production line equipment to identify process efficiencies. High-impact adjustments are then prescribed, which guarantee ROI in the first year of deployment.
In 21st-century manufacturing plants, excellence is achieved when production issues are pre-empted. Before latent problems manifest on the production line, operators need immediate access to actionable insights about part quality, production performance, and machine availability. For today’s manufacturers, real-time troubleshooting is too late.
Explore how DataProphet’s AI-driven prescriptions can help you improve quality targets, reduce scrap and defects, and achieve manufacturing process optimization—ahead of real-time.
Timely, actionable suggestions extract maximum value from your industrial assets by reducing machinery and equipment downtime ahead of time, increasing capacity, and optimizing production quality.
Sustainable production means optimizing yield is not an end in itself. Advanced manufacturing needs full production capacity to be co-efficient with waste reduction and responsible management of plant resources.
Autonomous generation of root-cause fault analysis, with immediately applicable measures for your operators, significantly limits defective batches or parts from continued faulty machine behavior.
Move closer to autonomous manufacturing using the data you already own—without additional capital expenditure, reinventing your processes, or employing more experts.
DataProphet’s AI-as-a-Service manufacturing solutions use deep learning capabilities to find your plant’s most efficient operating paradigm across machine setpoints and process control parameters.
With proven, specialized industrial process knowledge embedded into user-configurable solutions, DataProphet enables the rapid digital transformation of manufacturing facilities. We deliver immediate impact and return on investment in under a year.
How does DataProphet assure an ever-deepening understanding of your specific manufacturing process? Our AI-for-manufacturing solutions come from a data-informed synthesis of the complex relationships between process variables. DataProphet's AI-driven algorithms adapt to your production environment and conduct rapid process analysis of multiple data sets. This far outstrips the capacity of human experts to identify and correct process anomalies on the production line. An unprecedented quantity of enriched information feeds machine-learning guidance. This results in dependable, holistic prescriptions for implementing mutually reinforcing production efficiencies for continual improvement.
DataProphet’s Expert Execution System (EES) optimizes production capacity, enhances energy efficiency, improves throughput quality, and reduces waste across any factory or foundry. Find out how much PRESCRIBE can save you.
Consistent 40% reduction of defect rate; periods of up to 3 months of 0% defects.
Proven 40% reduction of defect rate on average.
Reduction of weld defects by 52 - 75% for a German automotive OEM.
Stay up to date on machine learning developments, and receive guidance on optimizing your manufacturing processes using AI.
DataProphet partnerships are guaranteed win-win. Too often, AI-as-a-Service providers equate research-based methodologies with one-size-fits-all industry solutions. DataProphet works closely with partners to gain an understanding of their unique set of production problems. We deploy our AI-driven manufacturing solutions to the production dynamics of your factory floor, incorporating our proven AI for industrial process expertise but taking cues from contextualized feedback. We understand that most impact is achieved by building machine-learning models to mesh with your production lines' realities and the assets that drive them.
Our Expert Execution System (EES) learns the interdependencies between multiple processes and the associated variables. In this way, they capture the non-linear parametric impact on productive capacity. Explore how DataProphet’s EES has optimized control plans for key industry verticals, equipping manufacturers to harness the prescriptive power of AI for ongoing steady-state production.
By interpreting the complex interactions underlying a stud welding process, DataProphet prescribed optimal process parameter values and helped a German automotive OEM reduce welding defects by 75%.
Identify the root cause of chip anomalies, stabilize fabrication lines to correct against yield loss from local disturbances, and realize the profits associated with predictably higher-volume semiconductor manufacturing.
Attain leading-edge process productivity in rubber manufacturing. DataProphet’s Expert Execution Systems parse upstream parameters to prescribe an optimal vulcanization profile alongside holistic line control.
Consistent first-time-pass industrial equipment is critical for foundries. Defects undermine capacity targets. DataProphet has consistently achieved a 40% reduction in defect rates within three months at gray iron foundries.
Explore how AI and machine learning are digitally transforming manufacturing through overall equipment effectiveness and higher product quality.
31 Aug 2021 Nicol Ritchie
The significant innovations of Artificial Intelligence (AI) are now permeating many aspects of our professional ...
30 Aug 2021 Nicol Ritchie
August 30, 2021 11:30 AM SAST AMSTERDAM–Leading AI-for-Manufacturing company, DataProphet, today announces the formation of ...
23 Dec 2020 DataProphet
With three out of four manufacturing companies employing process optimization techniques, one can safely conclude that process ...