
SprayQuantAI®
SprayQuantAI® characterizes individual droplets in sprays and flows. Depending on the configuration, it measures droplet size, velocity and number using classical or AI-based calculation.
Explore SprayQuantAI®SprayQuantAI® · ParticleTensorAI® · SprayConeAI®
ai-quanton develops optical measurement systems for characterizing droplets, particles and sprays. Our platforms combine optical measurement technology with AI-based analysis for research and process monitoring in automotive applications.
Our technolgy is protected by four patent applications and three registered trademarks.










01 — Products

SprayQuantAI® characterizes individual droplets in sprays and flows. Depending on the configuration, it measures droplet size, velocity and number using classical or AI-based calculation.
Explore SprayQuantAI®
ParticleTensorAI® analyses time-resolved light-scattering signal sequences as multidimensional data. AI models evaluate patterns in these data for spray or droplets characterization.
Explore ParticleTensorAI®
SprayConeAI® is a web-based tool for analysing spray cones and spray patterns from images captured with a smartphone, tablet or computer.
Explore SprayConeAI®02 — System Configurations
The table compares the hardware, evaluation methods and available signal information of all five configurations. Additional detector channels extend the information available for analysis; they do not by themselves define the final measurement outputs.





03 — Measurement Principles
Our technology is based on incoherent light scattering from individual droplets or particles. Optical instruments record the resulting light-scattering signatures, including their temporal structure. AI-based analysis uses this information to determine properties such as droplet size, velocity, composition and concentration, depending on the measurement configuration and model.
| Platform | Input data | Output data |
|---|---|---|
| SprayQuantAI® | Time-resolved signals from individual droplets | Droplet size, velocity and number |
| ParticleTensorAI® | Buffered light-scattering signal sequences of droplets | Tensor light scattering for labeling |
| SprayConeAI® | Images of sprays and spray patterns | Spray cone parameter |



04 — Spray Analysis · Spray Monitoring
Our products address two main tasks: AI-based spray analysis and AI-based spray monitoring.
In spray analysis, the focus is on determining droplet properties and their distributions to understand and characterize the spray.
In spray monitoring, the user teaches the system a reference spray condition. During operation, the AI compares the measured signals with this reference to detect deviations and help maintain stable process conditions.
05 — Research & Resources

Detecting Changes in Paint Composition Directly in the Spray We recently published a new application of artificial intelligence for paint spray …

SprayConeAI® is now officially registered as a trademark in Germany. I recently received the registration certificate from the German Patent and …

At Bits & Pretzels, taking place from 28–30 September 2026 in Munich, Germany, we will present our latest developments in AI-assisted spray analysis …

Our new paper, “AI-assisted monitoring of coal particles within droplets in a coal monoethylene glycol slurry spray,” is now available on KITopen …
Tell us which droplets, particles or process changes you want to characterize. We can help define the detector configuration, optical setup and evaluation method for your application.