Experience the immediate impact of AI-guided process optimization across the body shop, melt shop, and factory floor.
At DataProphet, we know that real impact is achieved in manufacturing with adaptive, pre-emptive actions that alert you to issues before they show up on the line.
Explore how pre-emptive actions can help you exceed quality targets, reduce scrap and defects, and achieve process maintenance optimization ahead of real-time. Because real-time is often too late for manufacturers.
Improved availability, performance, and production quality of your aluminum processing machinery results in higher throughput and avoids rework.
Stabilize and optimize processes to improve energy consumption and reduce your environmental footprint.
Facilitate the smooth running of your operations with better, faster, error diagnosis and root cause analysis.
DataProphet’s prescriptive analytics solutions seamlessly integrate with existing production systems, machinery, and data environments across key industries. Here is how we are reducing the cost, delays, and uncertainty of adopting deep machine learning in factories all over the world.
For automotive manufacturers, the safety and quality of parts are critical. Traditional statistical solutions cannot pre-empt hidden defects resulting in throughput shortfalls. Our AI for production syncs with all automotive manufacturing contexts. In OEMs and car assembly plants, DataProphet’s AI-as-a-Service optimizes quality, availability, and performance metrics on a range of automotive production lines: from wheel making to complex automated stud welding, to injection molding and final assembly.
Chip anomalies, unstable fabrication lines, and failure to proactively diagnose the root cause of process and/or design-related issues hurt semiconductor manufacturers, as they shoulder research and design investment risk, and the burden of astronomical capital expenditure. Our AI future-proofs fabs against local disturbance yield loss; exploits tight manufacturing windows, and forecasts throughput to market of new-generation chips to realise the profits of high-volume, stable semiconductor manufacturing.
DataProphet’s deep learning solutions discover the optimal parameter settings for each curing press and tire type to continually achieve the highest quality product properties. Solve heat and pressure problems ahead of time, and execute vulcanization cycle times to produce high-quality rubber products consistently. Our Expert Execution Systems allow rubber manufacturers to keep pace with innovation in transportation and mobile technology, while reducing the cost of non-quality in rubber manufacturing.
As with all the manufacturing verticals we work with, DataProphet leverages existing production process and production quality data from existing equipment - in foundries (including green sand operations), our AI-as-a-Service is proven to reduce waste costs; diminish rework; optimize resource consumption, and eliminate product returns in foundries (including green sand operations). A key feature here is enabling foundries to react as conditions like air temperature and sand moisture content change.
Once deployed, our Expert Execution System learns and understands the complex relationships between process variables. Using insights about the current state of your production, DataProphet provides holistic guidance to your production team to eliminate defects and scrap and minimize downtime.
DataProphet’s AI-for-manufacturing solutions enhance energy efficiency, increase yield, and reduce waste across a diverse range of production industries. Find out how we can help your manufacturing vertical.
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 German automotive OEM.
Digital transformation with AI-driven industrial deployments is enabling further advancements to manufacturers of complex, multistep processes to exceed production KPIs. Learn how AI establishes new benchmarks for change over; cycle times; processing benefaction; defect reduction; resource management; quality, and throughput.
29 Nov 2022 Nicol Ritchie
AMSTERDAM—November 29, 2022—Today, DataProphet received the Business Intelligence Group’s BIG Award for Business and was ...
1 Nov 2022 Nicol Ritchie
November 1, 2022 | 17:00 EDT | Amsterdam – DataProphet announced today that its end-to-end ...
22 Sep 2022 Nicol Ritchie
The previous article in our change management series made a case for embedding algorithmic business ...
17 Aug 2022 Nicol Ritchie
Manufacturing change management wisdom is a give-and-take between technology and people. However, high-impact AI solutions must ...
10 Aug 2022 andreabohmert
August 9, 2022 | • Press release AMSTERDAM / CAPE TOWN – DataProphet, a world-leading ...
26 Jul 2022 Nicol Ritchie
Acting on data is now key to affecting last-mile optimization of production. However, reskilling plant ...
Too often, AI-as-a-Service providers equate promising, research-based methodologies with one-size-fits-all industry solutions. In contrast, we work closely with our partners until an understanding is gained of their unique set of production problems. DataProphet adapts its AI-driven manufacturing solutions to the industrial production dynamics of your factory floor. To this end, we incorporate our proven, vertical-specific expertise, but take our cues from contextualized feedback. DataProphet understands that it is far more impactful to build its machine-learning models to mesh with the realities of your production lines, and the assets which drive them. In partnering with us, you can be assured of improving your production KPIs against historical baselines towards agreed benchmarks.
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.
Stay up to date on machine learning developments, plus guidance on how to optimize your manufacturing processes using AI.