Machine-learning models automatically clean and consolidate raw industrial data, then output it as spreadsheets and charts. This eliminates manual data entry for shop-floor operators and frees them to focus on their core work, while smaller manufacturers can access the same automation as larger ones.
We took that data, we threw it through our models, and we automated that entire process. So they're getting a higher level of data quality because the machine learning model is taking this stuff and putting it together, putting it into a spreadsheet. It's all automatic. They can see it in graphs and charts within the application, or it can get exported as an email into a spreadsheet.
Yeah, and I bet they— I bet from the shop floor perspective, you know, the folks that run the equipment are happy not to be doing that data collection anymore. I bet that's really a win for them.
Right. It gives them time to actually go back to concentrating on what they're good at, right? It gives them time to start building the culture, train employees on better information.
So I think that the big trap that the smaller guys fall into is assuming that they can't start now.
