Sub menu
Modularly Expandable Intelligent AI Solution
Each module in DogWoodPro can operate independently and seamlessly interconnect with others to form a unified AI-driven solution
→ Provide solutions comprised of modules requested by clients
PrediPro: Real-time Product Prediction
DogWoodAI provides real-time product prediction solutions. AI solutions, developed from RTDB with physics information and first-principle model data, can give highly accurate product prediction results for unit process with dozens of sensors and total plant with thousands of sensors. Additionally, the solution offers detailed insights into the variables (tags) influencing product prediction.
The solution contributes to reducing production errors and costs, resulting from limited product sampling and manpower. The performance and reliability of the solution have been validated across multiple plant references with diverse operational scenarios such as catalyst decay, operational mode changes, feed variation, etc.
Real-time Product Quality Prediction Solution
Provides tailored AI solutions to predict product quality for continuous/batch-type plants
→ Enables high-accuracy quality prediction through a deep domain understanding of diverse plant environments
Reducing Product Quality Management Costs
Real-time product predictions help minimize quality deviations from target specifications
→ Reduces time and costs caused by operational changes
Explanations for Real-time Product Quality Predictions
Analyzes the impact of operational variables via AI and offering reasoning through generative AI
→ Enables quick response to the cause of production deviations
AnalyPro: Operational Data Analysis
DogWoodAI’s data analysis enables an in-depth evaluation of major variables (tags) across diverse operational scenarios, providing engineers with valuable insights into process/plant performance. It employs statistical approaches to deliver comprehensive analytical outputs, while also offering a deep analysis of the relationship between key metrics, such as yield, quality and operational variables.
The solution provides detailed assessments of how individual tags influence yield and quality, empowering engineers with information for process improvement. Additionally, visualization tools allow clients to quickly identify trends for selected tags under varying conditions. By making it easier to understand the current state of operations, the solution supports effective process management for optimization and decision-making, ultimately enhancing both operational efficiency and productivity.
Integrated Operational Data Insights
Maximizes production stability through key operational insights derived from multidimensional plant data and historical trends
Intuitive Data Visualization Solution
Delivers plant data analysis results in various visual formats
→ Enables rapid decision-making for experts and enhancing plant understanding for non-experts
AI-based Tailored Analysis
Precisely analyzes the relationship between data and quality
→ Provides a flexible analytical environment optimized for the unique characteristics of each plant
OptPro: Plant AI Optimizer
DogWoodAI provides an Optimization Guide, offering precise operational recommendations to achieve target yield or quality. The solution also offers XAI (Explainable AI) to strengthen users’ confidence in the optimization reliability, illustrating how the optimized operating conditions influence yield or quality.
By delivering deep insights, the solution helps engineers efficiently overcome challenges that arise from complex operating conditions and the high level of decision-making required to reach desired yields or product quality. As a result, it goes beyond simple data analysis, delivering tangible value by improving plant productivity and operational efficiency.
Recommended Operating Conditions for Target Quality Production
Suggests operational conditions for multivariable and multi-objective functions
→ Provides efficient and reliable optimization insights by overcoming the limitations of conventional simulators
Comprehensive and Realistic Optimization
Considers both controllable e and measured variables under the operational constraints of a plant
→ Proposes feasible and practical operating strategies
Easy-to-Use Solution Based on Process Flow Diagram Visualization
Visualizes not only controllable variables but also the resulting measured variables, both on the PFD and in tabular format
XAI-based Operating Condition Insights
Quantifies and visualizes the rationale behind each optimized condition
→ Reveals how each condition impacts target quality metrics
Evaluation & Analysis of Operating Strategies
Compares existing operational strategies against optimized ones
→ Provides feasibility analysis with side-by-side comparison tables
SimPro: Plant AI Simulator
Conventional process simulators face limitations as reactor information is not available and specific processes are not converged, making simulations both complex and narrowly scoped.
DogWood_Simulator overcomes these challenges by employing an AI model trained on real plant data, optionally combined with physics-based and first-principle models. This user-friendly solution allows any engineer to predict desired product outcomes simply by adjusting control variables—unlike conventional simulators that typically require specialized expertise. Moreover, the simulator produces results within a second for single-unit processes and within a few seconds for entire plants, without any divergence issues, regardless of the number of variables and objectives.
With its enhanced usability, the DogWood_Simulator simplifies back-testing for various plant scenarios and provides highly accurate predictions of product results under different operational guidelines. Ultimately, it provides clients with actionable insights for improved process control and optimization.
Operational Scenario Testing and Cost Savings
Evaluates expected product quality under various operating conditions
→ Minimizes risks and efficiently identifies optimal operating strategies
Accurate and Fast Results
Builds a high-fidelity AI model based on accumulated data and domain expertise
→ Delivers highly reliable predictions within seconds
Improved Plant Understanding
Analyzes the impact of specific operating variables on product quality
→ Enhances plant insight and supports Operator Training Systems (OTS)
Realistic Simulation Outputs
Predicts changes in product quality as well as provides variance of measured variables related to controllable-variable adjustments
Easy-to-Use Solution Based on PFD Visualization
Displays input operating variables and results directly on the PFD
→ Let engineers quickly analyze and make decisions with high-visibility tools
SafePro: Safety Analysis
Because there are so many sensors in the plant, it is difficult to predict abnormal phenomena and take preventive measures in the plant before an accident occurs. On the other hand, unnecessary anomaly detection causes great inconvenience to users.
DogWoodAI offers effective safety analysis by applying advanced techniques and domain expert knowledge. The solution provides the safety analysis report for a user-defined period, regardless of the number of sensors. Users can efficiently pinpoint parts and areas within the plant where anomalies occur most frequently, while simultaneously accessing comprehensive analytics for these irregularities.
This integrated solution not only enables efficient plant maintenance but also significantly enhances the ability to respond to safety-related events.
Real-Time Detection of Various Anomalies and Events
Identifies a wide range of potential issues within the plant in real time
→ Provides systematically categorized anomaly information
Alerts by Patterns and Plant Zones of Anomaly Detection
Analyzes events based on patterns across different plant zones
→ Enables engineers to quickly identify areas of concern and improve safety & maintenance
Reduced False Alarms
Customizes anomaly detection for each process to reduce false positives
→ Utilizes data analysis and domain expertise to detect only meaningful anomalies
PlantBot: Agentic LLM
PlantBot is an on-premise AI assistant in the plant environment. Utilizing an Agentic LLM and DogWoodAI’s creative source code, it analyzes real-time anomalies detected from SafePro, and is also operated independently. Based on HAZOP, P&ID, operational manual, incident history, equipment specifications, and other plant information, it can provide to predict potential incident scenarios and suggest appropriate countermeasures.
Embedded in the plant system, PlantBot provides engineers with instant, interactive responses to issues such as anomalies, quality deviations, and equipment failures. By making plant knowledge easily accessible, it supports troubleshooting, maintenance, and training—even for new personnel—thereby enhancing operational awareness and response efficiency on the ground.
Incident Scenario Prediction and Response Guidance
Predicts incident scenarios using SafePro data, incident history, process flow diagrams, machine specifications, and plant documents
➔ Helps engineers quickly understand root causes and identify countermeasures
Enhanced Process Understanding
Maximizes systematic accessibility and work efficiency by utilizing plant data
➔ Enables even new engineers and non-experts to understand plant systems effectively
Real-Time Q&A for On-Site Situations
Provides an interactive interface that delivers instant answers on anomalies, quality issues, mechanical failures, etc.
Supports for training and efficient resolution in emergent accidents and maintenance.
MLOps: AI Management
MLOps is DogWoodAI’s framework for managing the full lifecycle of AI models in a systematic and efficient manner. As operational data accumulates, models are automatically retrained and updated to maintain optimal performance. The entire AI pipeline—including data collection, training, deployment, and monitoring—is automated, enabling seamless solution operation.
MLOps also incorporates real-time feedback to support flexible model updates and continuous improvement. In addition, all deployment events and performance changes are thoroughly logged, allowing transparent tracking and version control. MLOps is an essential tool for ensuring the stable and scalable operation of advanced AI solutions.
Automated Model Retraining and Upgrade
Automatically retrains the AI model when new operating data accumulates
→ Maintains peak performance despite changes in plant operations
Structured Solution Management Process
Automates the full AI lifecycle, including data collection, model training, deployment, and monitoring
→ Supports efficient operation and management of AI solutions
Deployment History Management
Logs solution updates, deployment events, and outcomes
→ Enables comprehensive tracking and version management
Flexible Model Update Environment
Incorporates real-time feedback to flexibly adjust and redeploy models
→ Enhances collaboration between users and AI solutions
Consulting for industrial AI solution challenges
DogWoodAI offers specialized consulting services for industries that have plans to build AI-driven autonomous manufacturing plants. By leveraging clients’ data, DogWoodAI conducts thorough assessments to evaluate the feasibility of AI solutions tailored to their specific needs.
For industries facing challenges in analyzing plant data, simulating existing or new processes, DogWoodAI draws on extensive expertise in physics-based and model-based methodologies. These consulting services help determine feasibility and reduce costs in developing AI solutions for the plant. If necessary, a technology consultant can propose new processes or modifications to enhance the efficiency of existing or planned plants.
