DataProphet is an AI-as-a-Service company of machine learning specialists with a global presence. We work with manufacturers worldwide to optimize their production KPIs via existing plant data and machinery.
DataProphet continuously optimizes manufacturing processes for key verticals with its proven, leading-edge AI-as-a-Service solutions. These data-driven deployments advance production lines to help industrials achieve their Industry 4.0 ambitions. Our solutions leverage existing process data and quality measurements from the production line. DataProphet’s AI-driven models then proactively prescribe high-impact, corrective changes to plant control plans. Following these optimal prescriptions, the operators of manufacturing plants enjoy continuous guidance—to adjust process parameters ahead of production loss. This leads to fewer defects, greater yield, less variance, and enhanced operating efficiency.
Our AI solutions guide manufacturing processes from over-dependence on human experts to expert machine learning guidance and will improve your production KPIs with a guaranteed ROI in the first year of operation. We understand manufacturing and know that real impact is achieved with adaptive, pre-emptive actions—because real-time is often too late.
By continually pre-empting defects to eliminate scrap and seeing process inefficiencies ahead of time, we enable embedded manufacturing process optimization and diminish sub-optimal production performance. Learn how DataProphet’s deep learning solutions achieve new benchmarks for your quality and throughput targets.
DataProphet CONNECT displays and configures production data from multiple devices and plants, rendering your manufacturing processes ready for AI-guided optimization.
DataProphet PRESCRIBE is our deep learning Expert Execution System (EES). It parses all targeted adjustable process and quality variables and guides course corrections to continually improve your manufacturing line’s quality and throughput metrics. These actionable insights enable operators to execute ongoing, holistic plant performance improvements ahead of real-time.
Data streaming from your PLC, SCADA, and elsewhere in your factory is a potential boon to overall equipment effectiveness (OEE). DataProphet DETECT leverages this in real-time by homing in on the anomalous behavior most likely to create production faults. Deep diagnosis of these faults generates prescient interventions for technicians. When they act on them, factories avoid machine performance issues and delays from unplanned unavailability.
DataProphet has been recognized as both a Technology Pioneer and a Global Innovator by the World Economic Forum (WEF), a leader in Manufacturing Technology Innovation by Frost & Sullivan, and an innovative company driving exponential shifts in AI by Forbes. DataProphet’s venture-backed AI for manufacturing solutions have helped customers worldwide adopt data-led production systems.
Our client successes include eliminating external automotive scrap, reducing mechanical welding defects by 75%, and halving the cost of non-quality—all within six months of implementation. Get results fast.
DataProphet’s prescriptions have resulted in a significant reduction in scrap and rework, making a positive impact on our bottom line.
- CEO – Engine Block Manufacturer
Original Equipment Manufacturers see Digital Transformation as a means to keep pace with a rapidly advancing global economy. Our partners know that staying competitive means embracing Industry 4.0. Finding the right experts to facilitate AI-driven production for guaranteed ROI is the final piece of an important puzzle. DataProphet partners scale the competitive advantage of our Expert Execution Systems (EES) in their factories. Our strategic partnerships harness a synergy of world-leading innovation in adopting AI-as-a-Service for manufacturing.
Sr. Director Product Marketing & Business Development, ASML
Dr. Antonio Küsters leads marketing & business development for all TWINSCAN dry lithography products and is a founding member of Infineon Ventures. He has a Master’s in Electrical Engineering, a Ph.D. in Semiconductor Science, and currently holds a key position at ASML.
Senior Vice President of Global Customer Operations, Veeco
Susan Wilkerson joined Veeco in 2020 as Senior Vice President of Global Customer Operations. She was Vice President & General Manager of Strategic Global Accounts for Lam Research, held C-suite positions for Applied Materials, and co-founded BlueRock Consulting LLC in 2008.
Global Technology and Operations Executive
Markus Keil has 25 years of global operations leadership experience along the entire semiconductor supply chain. He started up several greenfield sites, transferring and building HVM Technology. Keil has led significant semiconductor industry integration and transformation projects.
Board Advisor - Executive Consultant - Investor: Automotive, Smart Mobility, Digital Convergence
Thilo Koslowski is a recognized automotive innovator translating tech capabilities and market trends into industry-leading products. He founded and was CEO of Porsche Digital, created Porsche Ventures, and led Gartner's global automotive practice for the new era of smart mobility.
DataProphet’s AI-as-a-Service solutions are proven to adapt to a range of manufacturing verticals.
Our prescriptive analytics only target the modifiable process parameters that will achieve measurable quality and throughput gains. This precision optimizes production lines for continual improvements in global plant performance.
See what DataProphet’s Expert Execution Systems (EES) can achieve with existing factory data and equipment.
Whether for metal stamping, thermoforming component manufacturing or injection molding, improving first-time-pass rates is guaranteed with our AI-as-a-Service. In one case, a German automotive OEM cut autonomous welding defects by 75% with DataProphet PRESCRIBE.
Our advanced prescriptive AI algorithms sync with fabs to help semiconductor manufacturers obtain complex failure diagnoses, dependable yield ramps, and predictable chip performance quality. Such deep and holistic course correction benchmarks time to market—reducing risk and justifying capital expenditure.
During extrusion and vulcanization, optimal ranges for the key modifiable parameters to do with force, heat, and cycle time save factories money and enhance their reputations. Reducing the cost of non-quality is key for rubber manufacturers and assured with our AI-driven manufacturing solutions.
DataProphet consistently attained a 40% reduction in defect rates at a gray iron foundry within three months. Defects compromise operational efficiency. With DataProphet, consistent first-time-pass industrial equipment is within reach.
Continual benchmarking of production KPIs and overall equipment effectiveness (OEE) is achievable as manufacturers digitally transform and begin to embrace Industry 4.0 with AI-driven industrial deployments.
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