INDUSTRIES
Solutions by Industry
Regulation, quality standards and the nature of the data differ by industry. Here is how IMPIX approaches each of the sectors it works in.
Pharmaceutical/Biotech
How to use your data without stepping outside the regulations
Applying equipment predictive maintenance and quality analysis while meeting GMP, CSV and data integrity requirements, using data standardization to reconnect equipment settings with quality results.
Learn more →Semiconductor Industry
Where small deviations decide yield
Finding the variables that drive yield within large volumes of metrology and sensor data, and detecting equipment anomalies early, with collection and processing designed for the data volume and velocity of semiconductor fabs.
Learn more →Nutraceuticals/Cosmetics
Moving judgments made by eye onto data
Shifting judgments that relied on an experienced operator — color variance, formulation conditions — onto data, combining color defect root cause analysis, process optimization and smart factory construction.
Learn more →Automotive Industry
Handling the defects rule-based inspection cannot catch
AI machine vision detects the hard-to-catch defects that rule-based vision cameras miss in injection molding, while linking process variables to quality results to reduce the conditions that produce defects in the first place.
Learn more →Other Industries
The sector changes; the order of work with data does not
A common approach applied across metals, chemicals, electronic components and other manufacturing sites: start with data collection and standardization, then extend into predictive maintenance, quality analysis and process optimization.
Learn more →