Connect your sources
The data fabric brings in incident, inspection, training and production data from the systems you already run, and keeps it current.
Safety and compliance
Bring EHS data on incidents, inspections and corrective actions together, ask questions in plain language, and turn the checks you run every week into tools with a full history.
Your weekly review deserves a better starting point.
001 / What you can ask
Example questions safety and operations teams ask about their own data.
Yes, you can ask the awkward questions.
002 / How it works
Beye is the foundation your team builds on: connected data, real analysis, reusable tools and a history of the work.
The data fabric brings in incident, inspection, training and production data from the systems you already run, and keeps it current.
Ask in plain language. Each answer shows the query and steps behind it, so you can check it before you act on it.
Turn a recurring check into a tool with inputs, backed by real Python, and run it again for the next site, shift or month.
Revisions show who changed what. Saved runs keep their inputs, timing and results for reviews and audits.
003 / Frequently asked questions
Yes. Ask for incidents and near misses by area, line and shift, and Beye returns the answer with the query and data behind it. Keep the view as a dashboard, or turn the check into a tool your team reruns each week.
Yes. Build a tool that compares each line, shift or site with the thresholds you set and run it whenever you need to. Every run keeps its inputs, revision and results. Automatic event- and schedule-driven checks will come with agents, which are coming soon.
Yes. Compare incident and compliance data before and after a training cycle, in plain language or with Python for a deeper analysis. Save it as a tool and rerun it for the next cycle with new dates.
From the EHS systems, production systems and spreadsheets where it already lives. The Beye data fabric pulls source data in and keeps it current with recurring updates, so you do not need a data warehouse first. Older or custom systems can take some extra integration work.
Answers show the query and steps behind them, tools keep a revision history of who changed what, and saved runs keep their inputs, timing and results. You can show the work instead of rebuilding it.
004 / Related
OEE, downtime, scrap, yield and supplier performance across lines and plants.
Throughput, service levels and the day-to-day KPIs operations teams run on.
How the data fabric, analysis, Python tools and history fit together.
005 / Your next step
Yes, even that spreadsheet.
Bring a report, calculation or recurring check you run today. We’ll show you how Beye connects the data behind it and turns it into a tool your team can rerun.