Automated data quality checks for your Factry Historian data
Factry Historian integrates with Timeseer.AI to automatically validate the quality of your industrial time-series data, catching sensor drift, stale values, and gaps before they reach your dashboards or models. Factry Historian stores your process data; Timeseer.AI continuously scans it against 100+ built-in quality checks, flagging issues like sensor drift, stale tags, spikes, and missing values before they distort a dashboard, report, or model. Instead of manually eyeballing trends for bad data, quality scoring runs in the background and surfaces problems as they happen.
Why we love
Timeseer
Medium length section heading goes here
Medium length section heading goes here
Medium length section heading goes here
Medium length section heading goes here
Medium length section heading goes here
Medium length section heading goes here
Trustworthy data, automatically checked
No more manually scanning trends for bad sensors.
Issues caught before they spread
Quality problems flagged before they reach a dashboard, report, or model.
Built for industrial time-series
Purpose-built checks, not generic data-quality rules borrowed from relational databases.
Four key qualities of a future-proof data historian
Put your industrial data to work
Ready to get started with Factry? Awesome! Let’s schedule a call so you can discover how our platform empowers your operations.