This is an AI predictive solution for process efficiency optimization, featuring a proprietary model developed by INEEJI. Based on its Explainable AI (XAI) predictive control technology, it can be implemented in various manufacturing industries, including steel, cement, glass, oil refining, and petrochemicals. The solution supports operators in making better decisions by learning key process variables and the operational patterns of expert operators to provide real-time guidance on optimal operating methods.
Explainable AI (XAI) is a technology that enables AI to explain the reasoning behind its results in a way that humans can understand. This concept stands in contrast to "black box" AI, where even the algorithm's designers cannot explain the reasons for a specific decision.
It achieves comprehensive process optimization, leading to improved product quality and productivity, reduced production costs and energy consumption, optimized production planning, fault diagnosis, and the preservation of expert operational patterns. Our past projects have generated an average improvement of over 3%. While we can estimate potential improvements based on historical data during the project definition phase, please note that actual project outcomes may vary.
The system can be operated in two parallel modes: AI Mode and Manual Mode.
The following are the key technologies applied to INFINITE OPTIMAL SERIES™:
① Automated Data Preprocessing
② Causal Inference for Manufacturing Processes
③ Multivariate Time-Series Forecasting for Processes
④ Time-Series Forecasting Model Optimization
⑤ Explainable AI for Equipment Prediction and Process Performance Optimization
For more details, please refer to the 'SOLUTIONS > FEATURES' section.
It analyzes the relationships between various variables using mathematical and statistical methods to infer causality. While this sometimes yields results similar to operators' own experiences, it is particularly useful for discovering new, non-intuitive insights that may not be apparent to human perception.
A. The required type, volume, and collection period for data vary by process. However, we generally recommend at least one year of historical data. Just as an experienced operator manages a process more effectively, our AI achieves better learning outcomes with more data.
The recommended specifications are as follows. Please note these can be adjusted based on the specific environment.
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OS: Ubuntu 20.04
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CPU: 12th Gen Intel Core i7
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GPU: NVIDIA GeForce RTX 3050
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RAM: 32GB (2 x 16GB) SAMSUNG DDR4-3200
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SSD: 1TB M.2 NVMe
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HDD: 4TB
We offer flexible options that are chosen in consultation with our clients:
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On-Premise: The solution can be operated on your company's own server within a closed network. In this setup, process data is transferred internally to the solution's operating server.
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Cloud: The solution can be operated by connecting your process data to a highly secure and isolated cloud server dedicated to each client.
The timeline depends on several factors, including the specific process, the operational environment, and the volume of available data. For a detailed schedule, please contact us through our CONTACT page.
No. The solution can be integrated with your existing platforms and models, allowing for implementation without the need for additional system infrastructure or equipment shutdowns.
Yes. Each implementation of INFINITE OPTIMAL SERIES™ is customized to enhance its AI predictive capabilities for the target process. The solution can then be extended to similar processes, as well as to upstream and downstream processes within your production line.
The contract model can be selected in consultation with you. We offer two main types:
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Performance-based Model
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Licensing Model
For more detailed information, please inquire through our CONTACT page.
Our dedicated support team is available around the clock to assist you. You can reach us 24/7 through a designated channel for any issues that arise. We are passionately committed to actively investigating and resolving your problems to ensure your success.
