Reduce costs, improve yield, and increase semiconductor fabrication throughput with DataProphet.
Early comprehensive testing and inspection have far-reaching impacts on semiconductor performance and yield. Through continuous and accumulated learning, advanced prescriptive AI algorithms mitigate the risk of yield loss by identifying the root cause of complex failures, categorizing known yield detractors, and flagging new risk patterns. As a result, AI and machine learning-aided design significantly reduce the cost of goods sold, increase terminal yields, and decrease the time to market for new products.
Using prescriptive analytics, DataProphet PRESCRIBE prevents circuit board defects such as shorts, lifted leads, and solder bridging. Find out how DataProphet can immediately reduce your semiconductor production line defects.
Identify systemic chip defects and the controllable parameters which avoid them.
Use machine learning to gain actionable insights ahead of time—from live tool-sensor data, metrology readings, and all other machine data—to optimize processes up and down the line and guarantee maximum production efficiency.
With DataProphet PRESCRIBE, free fabrication lines of global disturbances, and pre-emptively correct yield loss due to local ones, ramping yield timeously and optimally, and guaranteeing ROI.
DataProphet is a unique group of talents and leadership backed by high-caliber investors. Semiconductors are a natural target industry for its pioneering technology—fabs are very data-centric, and Dataprophet's AI will be a game-changer for fabs worldwide.
I'm excited to be selected for DataProphet's Semi Advisory Board. DataProphet's state-of-the-art AI-driven product offerings will enable chipmakers to address their most significant technical challenges—including improved yield and time to market—faster than ever before.
I am delighted to contribute to the growth of this exceptional company. Chipmakers feel great pressure from OEMs to increase output by improving yield and efficiency. AI-for-manufacturing solutions as provided by DataProphet will bring huge value.
Real-time is too late in precision manufacturing. At DataProphet, we know that you can achieve real impact in fabs with guided, pre-emptive actions that ensure you avoid issues before they show up on the line. Explore how prescriptive analytics can help you exceed quality targets, reduce scrap and defects, and achieve process optimization ahead of real-time.
Scaling for semiconductor manufacturers becomes increasingly difficult with ever-smaller process nodes. Multiple steps and greater parametric complexity render optimal ramping for yields in manufacturing and testing phases increasingly elusive. DataProphet PRESCRIBE learns all relevant process variations on your integrated circuit production line.
Our deep learning AI-as-a-Service solutions parse historical process behavior: from wafer epitaxy to mask manufacturing substeps such as photolithography and chemical mechanical planarization (CMP), all the way through to die bonding, burn-in testing, and assembly.
In doing so, DataProphet PRESCRIBE’s prescriptive analytics work holistically to stabilize specific fabrication lines, embed yield learning, and deliver a refined control plan across all controllable parameters in order to increase the final yield and extract maximum value from capacity bursts.
Multiple steps and processes in circuit board assembly impact variance and performance in semiconductors. DataProphet PRESCRIBE learns a representation of your semiconductor manufacturing process that, crucially, captures the complex, non-linear behavior. This ultimately delivers a refined control plan that increases chip yield and quality.
Maturing technology in robotics, renewables, and automotive means big opportunities for semiconductor manufacturers. Yet, the boon of peak demand for next-level chip precision carries greater risk. Undiagnosed systemic defects compromise integrated circuit making, and evermore minute chip geometries raise the spectre of lithography issues. Leading-edge chip makers must extract, warehouse, enrich, and continually stream massive amounts of adjustable, and non-adjustable, process data. Our Expert Execution System ingests, parses, and builds deep learning models to target all pertinent, non-linear production line variability in your fab.
Our AI deployments digitize and automate existing data and implement ongoing extraction and warehousing. DataProphet ensures full leverage of the key measurements and parameters of your process control loop. The security of your semiconductor plant’s data is critical; our specialists provide support for a range of on-premise and cloud environments: client data is isolated to tenant-specific blob—or bucket—storage and databases, tied to discrete locations, and encrypted at-rest using the AES-256 standard. DataProphet also delivers world class data, password, and network encryption. Production KPIs are assured, with security.
Explore how AI and machine learning are transforming semiconductor manufacturing through improving key production KPIs.
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DataProphet works closely with our partners until an understanding is gained of their unique set of production problems. Our AI-for-manufacturing solutions take cues from the contextualized feedback of your fab, so our deep-learning models mesh with the complex, precision realities of your chip production lines, and the assets which drive them. In partnering with DataProphet, you can be assured of scaling the competitive advantage achieved by our Expert Execution Systems.
Stay up to date on machine learning developments, plus guidance on how to optimize your manufacturing processes using AI.