The Manual Calibration Challenge
Scrona is a semiconductor printing startup delivering nano-scale precision for industrial electronics. Their custom printheads can handle any design, but need careful parameter calibration. With 16+ million of parameters combinations, it is not a quick task.
This blocked company growth.
Each project required manual parameter adjustments, costing CHF 60'000+ and a week of downtime with no success guarantee.
This approach slowed projects and risked product quality and customer trust.
TESTIMONIAL
"AI & Data Strategy by Datali truly aligned our team.
Internally, many people are not aware of what is possible, what not.
Datali aligned our team, clarified the project's complexity, and set a clear path forward.
We needed this."
From Guesswork To Measurable Data
Datali worked on AI & Data Strategy to determine if, and how, the tedious calibration process could be automated.
We found their experiments lacked proper data capture. Years of valuable knowledge were lost.
Without experiment tracking, R&D engineers were forced to start from scratch every time.
Phase 1: Experiment tracking
Building Reliable Processes That Scale
Our roadmap automated calibration through data logging, computer vision, and adaptive testing. This repeatable process can cuts costs, speeds results, and allows Scrona to ship to their customers faster.
Phase 2: Automated calibration procedure
