DataProphet has a robust suite of AI-for-manufacturing products that continually optimizes processes, quality, and global plant performance.
In manufacturing, real-time reactions are often too late. DataProphet’s AI-guided manufacturing solutions prompt corrective actions ahead of real-time, to avoid defects and downtime. We move you from machine to machine learning expert guidance with AI solutions that quickly improve your production KPIs – without the need for additional hardware, sophisticated data environments, or data science expertise.
After a speedy deployment, our prescriptive analytics products – DataProphet PRESCRIBE and DataProphet DETECT – gain complete situational awareness of the functional dynamics of your production environment. Continually updated prescriptions for improved global plant performance are then available to operators via CONNECT, DataProphet’s leading-edge, user-configurable IIoT solution.
DataProphet PRESCRIBE guides ongoing pre-emptive improvements to complex multi-step manufacturing. It does this by continually recommending adjustments to parameters that impact final product quality and throughput. PRESCRIBE also leads to optimized plant resources, and diminished production waste.
DataProphet DETECT proactively monitors live production data to zero in on abnormal equipment behavior, enabling fast diagnosis of a fault’s root-cause. It empowers technicians to intervene with targeted corrective action before adverse effects escalate, and extends production assets' lifecycles.
DataProphet CONNECT is our IIoT-for-AI solution which collects industrial data from the multiple machines and sensors in your production line, and communicates the deep learning guidance of PRESCRIBE and DETECT onsite, via a user-configurable live dashboard.
Learn how DataProphet’s suite of AI-driven products guides digital transformation with prescriptive analytics to optimize your manufacturing processes and enhance overall equipment effectiveness.
Anomalous, or otherwise inefficient equipment behavior compromises steady-state production. Our holistic machine learning guidance delivers dependable prescriptions for optimizing throughput and quality while gaining an ever-deepening understanding of your manufacturing processes.
How does DataProphet achieve this kind of continual improvement? Our AI-as-a-Service solutions derive from a data-informed synthesis of the complex relationships between the variables which are impacting your production. The AI-guided process models we build are simplified - yet highly targeted - representations of the historical and ongoing behavior of your production line. Rapid, AI-driven analysis of relevant multiple data sets far outstrips human expert capacity.
These two latent space diagrams represent an actual path that one of our customers forged from suboptimal to optimal production efficiency. We see here that this plant has progressed to the most positively reinforcing operating region over time, and stabilized operational efficiency.
Consistent 40% defect reduction rate, and 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.
Our partners know the value drivers, key players, and intricacies of their manufacturing. DataProphet has years of experience with the processes underlying a range of manufacturing verticals. This qualifies us to deploy innovative AI-driven solutions to continually optimize the holistic line control of any production. DataProphet partners scale the competitive advantage achieved by our AI-as-a-Service across their factories or client factories.
Our automotive stud welding client achieved a 75% reduction in diverse robotic welding defects in six months with our prescriptive analytics, halving the cost of non-quality.
DataProphet’s gray iron foundry client needed to reduce scrap and rework; our AI solution halved defects in the first month, helping the foundry to achieve zero external scrap and no defective casting in three months. This optimized QC inspections and boosted their bottom line.
For continuous process mineral refinement, we used AI-driven Multiobjective Optimization to find mutually reinforcing efficiencies for a client’s storage, residue management, and high-grade recovery.
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