AI Factory Toolkit captures live data from the production floor, granting valuable insights into critical manufacturing processes including work order management, scheduling, inventory tracking, quality control, and performance monitoring.
According to IBM: "The inability of different systems to work together continues to be a significant challenge in the manufacturing industry, hindering productivity, efficiency, and innovation."
Limited scalability.
High cost to maintain.
The lack of MES implementation may result in challenges related to data management, resource allocation, and overall operational effectiveness.
According to Capgemini: "Though 76% of manufacturers either have a smart factory initiative that is ongoing or are working on formulating it, only 14% of companies are satisfied with their level of success."
Lack of adequate employee skills.
Unrealistic expectations.
Accelerates
Factories' digital transformation
Total
Consistency
Real-Time
Data driven factory management
Empowers
Factory operators with AI
Centralized solution, works with any data source: ERP, Scada, Data bases, IOT devices and much more.
Real-time prediction of abnormal behaviors: Operators, machines, material logistics, factory stock planning...
High-value dashboarding to monitor KPIs and relevant features: Individual and aggregated statistics for every company level (company, factory, production line, station, device...)
Automated actions based on AI prediction algorithms: Triggers factory actuators, automatic messages, reports...
Data Engineering: UI-based data management and transformation using Tupl tool Tupl Streams; KPI formulas with a low-code approach.
Feature Engineering: UI-based feature formula generation, with types: Range, Time, and SQL features.
ML Toolkit: creation of machine learning models in which the different ML algorithms are selected by clicking on available options; the training and usage of the model is done within the platform.
Dashboarding: more than 100 widgets configurations and highly customizable views to analyze data trends.
Automation Engine: UI-based automation template for open and closed loop real time actions taking place on AI models or rule models predictions.
Get started and request a demo to learn how AI Factory Toolkit can help you.
Below you will find answers to the most common questions about AI Factory Toolkit.
AI Factory Toolkit captures live data from the production floor, granting valuable insights into critical manufacturing processes including work order management, scheduling, inventory tracking, quality control, and performance monitoring.
By facilitating data-driven decision-making, the toolkit empowers manufacturers to optimize production, enhance efficiency, maintain quality standards, and meet the ever-changing demands of their customers.
AI Factory Toolkit SaaS is delivered in cloud service (e.g. AWS, Azure, etc.) and can also be deployed on-premises, in your private cloud, or data center.
Get started with a functional solution in operation within 2-3 weeks. Monthly subscription. No strings attached. Stop at any time.
No-code solutions for AI application development help manufacturers take advantage of this emerging technology without the need to hire technical specialists or investing significant time and capital.
Tupl's software has a simple and intuitive user interface that enables existing personnel to build AI Smart Manufacturing applications for quality assurance in very little time with relatively small datasets and with no programming required.
Get started and request a demo to learn how AI Factory Toolkit can help you.
