Start Light, Scale Smart
PROCESS.AI
Adaptive Production Intelligence – Built for Volatility
Core Features of Process.AI
Start Strong. Improve Every Day
Process.AI delivers measurable value from day one — by generating optimized process configurations before the first production run. Using AI-powered digital twins, it simulates thousands of possible process scenarios and selects the best-performing setup based on your real data. From there, every production run becomes a learning opportunity: the system continuously refines its models, adapts to new conditions, and uncovers optimization potential you didn’t even know existed.
Designed for Operators – No AI Expertise Required
Designed for Operators – No AI Expertise Required
Process.AI is built to empower the people who run your processes every day. No need for coding, data science, or specialized training. The intuitive interface and transparent recommendations make complex decisions easy – and actionable.
- Drag-and-drop interface for fast, intuitive interaction
- Clear, ranked recommendations with confidence levels
- “Why” explanations for every system suggestion
- Operator override functionality that helps the system learn from human expertise
Engineered for Complexity – Powered by Advanced AI
Behind the user-friendly experience lies a powerful AI engine designed for the most demanding industrial environments. From volatile conditions to high-dimensional data, Process.AI handles it all – safely, reliably, and at scale.
- Machine Learning models capture nonlinear relationships across variables
- Probabilistic forecasting accounts for uncertainty and dynamic inputs
- Engineering guardrails ensure safe, constraint-compliant optimization
- Multi-objective optimization balances performance, cost, and sustainability goals
Process.AI Success Stories
Green ammonia
Mastering Renewable Energy Volatility
Challenge
- Ammonia synthesis demands stable conditions, but renewable energy fluctuates from 0–100%. Traditional buffering methods were inefficient and costly.
Approach
Process.AI analyzed historical data and ran in shadow mode, identifying dynamic control strategies that predicted energy availability and optimized production schedules in real time. Within six months, the system was fully implemented, reducing energy costs by 20%.
Results
- €10M+ Annual Savings
- 20% Energy Cost Reduction
- 6 Months To Full ROI
Phosphate Recovery
Consistent Yields Despite Variable Inputs
Challenge
- Highly variable waste stream compositions made it difficult to ensure consistent yields using traditional control methods.
Approach
Process.AI modeled the facility using existing data, creating a digital twin capable of handling over 50 input variations. Within eight weeks, the system delivered optimized configurations for each waste type, improving process control and boosting yield reliability.
Results
- 5% Higher Yields
- Robust Process Control
- 50+ Input Variations Handled
Your contact
Do you have a specific request or questions about the sustainable alignment of value creation processes in your company? Send me an enquiry and I will get back to you.
Dr. Christoph Völker, Head of Industrial AI