From Manual to Automated Processes

Datali aided Scrona in replacing weeks of manual calibration with automated processes. Through data logging, computer vision, and adaptive testing, they could cut costs by CHF 60,000 per project while freeing engineers' time.

customer

problem

solution

problem

Manual calibration of 3D nano-semiconductor printers was slow, expensive and limited the company’s ability to scale.

solution

Creating a roadmap for automated calibration with adaptive experimentation, making results faster, cheaper, and more reliable.

business impact

Up to CHF 60,000 saved per project and R&D engineers’ time freed up through automated calibration.

summary

CHF 60,000 per project - that's what a nano-scale 3D printing startup was spending on weeks of manual calibration. Datali designed a strategy to automate calibration with adaptive experimentation, cutting costs and ensuring consistent quality.

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 calibration blocked scaling.

Each project required manual parameter adjustments, costing CHF 30,000 and a week of downtime with no success guarantee.
This approach slowed projects and risked product quality and customer trust.

From Guesswork To Measurable Data

Datali worked with Scrona in an AI & Data Strategy Workshop to determine if calibration could be automated and how.

We found their experiments lacked proper data capture - years of valuable knowledge was lost without documentation, forcing engineers to start from scratch each time.

Building Reliable Processes That Scale

Our roadmap automated calibration through data logging, computer vision, and adaptive testing. This created a repeatable process that cuts costs, speeds results, and allows Scrona to scale faster.