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’s proven, leading-edge AI-as-a-Service solutions continuously optimize manufacturing processes for key industry verticals – to advance their production lines, and 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. In 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, machine performance issues and delays from unplanned unavailability are avoided.
Recognized as a Technology Pioneer by the World Economic Forum, and a leader in Manufacturing Technology Innovation by Frost & Sullivan, DataProphet’s venture-backed AI for manufacturing solutions has helped customers worldwide adopt data-led production systems.
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
At DataProphet, we value and celebrate individuality, dynamism, and resilience. We are a team of passionate and driven individuals who choose to be experts in our field and to share our knowledge with our clients.
We love bouncing ideas off each other, and we believe that our learning agility and our freedom to experiment allow us to elevate our impact in our clients’ production environments.
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 in their factories. Our strategic partnerships harness a synergy of world-leading innovation in adopting AI-as-a-Service for manufacturing.
DataProphet’s AI-as-a-Service solutions are proven to be adaptable to a range of manufacturing verticals.
To optimize production lines for continual improvements in global plant performance, our prescriptive analytics only target the modifiable process parameters that will achieve measurable quality and throughput gains.
See what DataProphet’s Expert Execution Systems 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 diagnosis, dependable yield ramps, and predictable chip performance quality to benchmark time to market and justify the 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.
At gray iron foundries, DataProphet consistently attained a 40% reduction in defect rates within three months. Defects compromise operational efficiency. With DataProphet, consistent first-time-pass industrial equipment is foreseeable.
Continual benchmarking of production KPIs and overall equipment effectiveness is achievable as manufacturers digitally transform, and begin to embrace Industry 4.0 with AI-driven industrial deployments.
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 ...
Stay up to date on machine learning developments, plus guidance on how to optimize your manufacturing processes using AI.