From Machines to Learning Systems
aiXopt machine optimization analyzes machine and plant KPIs plus quality feedback, and automatically optimizes your machine settings, expert-in-the-loop during ramp-up and ongoing production. This leads to optimal production performance for every new material, product, or environmental influence, automatically and without lengthy data collection.
Optimization in live operation
aiXopt suggests new operating points while staying within your process limits and involving your experts.
Safety
Safety. Guaranteed parameter windows: you decide which ranges we're allowed to work in. At the same time, we guarantee that critical process limits are respected. Your experts have the final say if desired.
Adaptivity
Adaptivity. With a new material, supplier, format, or batch, aiXopt adapts fully automatically. The learning AI recognizes on its own how materials, products, and batches resemble each other.
Small-Data
Small-Data. Minimal data required: aiXopt doesn't need a filled data lake to get started and defines the relevant operating points directly at the machine on its own. If data is available, we incorporate it and speed up the optimization even further.
Expert-in-the-loop
Expert-in-the-loop. Your experts decide which parameters are fed into the machine and when the optimization process can run fully autonomously. We explicitly incorporate visual inspections, quality checks, and "thumbs up/down" evaluations into the process.
The big data problem. Too little data for standard AI.
Many companies do not have enough data to use standard big data approaches. High data quality and completeness remain the exception. We specifically avoid this issue with our Small-Data approach.
Too many parameters
Hundreds of machine settings combine exponentially.
Too little data
Real, high-quality production data with sufficient variability is rare and valuable.
High variability
Materials, the environment, and wear are constantly changing. Process parameters are not adjusted, or are adjusted too late.
No time for ML
Traditional machine learning takes weeks or even months, but production is running now.
Small-Data AI: How we escape the big data problem.
Every run (part, batch, shift) produces exactly one data point: one machine setting that was actually run, together with the KPIs measured while it ran. From a handful of those points the model learns which setting delivers the most value next.
01
Production Machine
Adjustable machine settings, measurable results.
02
Data Point
We optimize where the most can be gained: directly on the bottom line.
03
Industrial AI Model
Learns how the machine behaves, including all uncertainties.
04
Suggested Setting
Safe, within the quality range, with the best possible improvement.
Optimal process parameters, always.
aiXopt offers two complementary modes to maximize your production performance: from initial setup to continuous optimization.
Commissioning
aiXopt Setup
Find the optimal process parameters for your production.
- Commissioning of new machines and products
- Far fewer trial runs until the optimum
- Process limits are respected throughout
Continuous optimization
aiXopt Adapt
Continuously optimize your process parameters during operation.
- Reacts to wear and material variation
- Keeps quality and throughput stable over time
- Runs alongside without stopping production
Real results. From running manufacturing processes.
Where aiXopt is already in use and what came out of it, measured.
From signature to first optimized run.
Six standardized steps. We handle the work and only need minimal input from you.
01
Feasibility
02
Concept phase
03
Interfaces
04
Configuration
05
Deployment
06
Support
Your machines can do more.
Let's find out how much.
Book a no-obligation call and find out where your biggest potential lies.