Safety Command Center: Ask Your Safety Data a Question

We are launching Safety Command Center, an agentic AI layer over your own safety data. Ask a question in plain language -- "there seems to be a big spike in the last few weeks, what happened?" -- and get a written finding grounded in your detection history, with a share-ready report attached.
It runs on frontier language models, including Claude and GPT. The models decide which analyses to run, run them against your data, and write up what came back. They do not invent numbers: every figure in a report is an exact count or a calculation on exact counts.
What's included
- Chat over your own data -- no dashboard to configure, no query to write
- Spike analysis -- locates the exact date volume changed, decomposes it by event type, area, and camera, and cross-references your configuration history to separate a real behavioural change from a rule edit
- Event-drop analysis -- a fall in detections gets interrogated rather than celebrated, because it often means a camera offline or a rule disabled
- Common-problem analysis -- which violations recur, where, on which shifts, and which are distinct events versus the same person detected repeatedly
- Reports in PowerPoint, Word, and PDF -- formatted, charted, and paginated with your site and period, ready to forward without reformatting
- Scheduled briefs and watchdogs -- a Monday trend summary or a monthly EHS report generated automatically, plus standing checks that notify you when a metric crosses a threshold you set
- Saved queries -- the questions you ask every month, kept and re-runnable against the current period
See a real investigation
Download the sample report -- a four-page Event Spike Analysis produced from a one-sentence prompt.
It is worth reading for what it declines to claim. A PPE rule had been reapplied on the same date as the spike, which was a convenient explanation sitting right there. The report says that change explains part of one camera but not the simultaneous growth across multiple cameras and all three areas, assigns the wider explanation medium confidence, notes that human review coverage was too low to judge detection quality, and hands the follow-up back to Visionify.
Why it matters for EHS teams
Beyond investigations, early-access customers are using it for monthly and quarterly EHS reporting, board packs, pre-audit evidence that a control operated across a period, intervention validation (did compliance actually improve after the toolbox talk?), shift and supervisor comparisons, multi-site benchmarking, and alert-fatigue tuning.
Availability
Available to Visionify customers now, marked experimental while we expand analysis coverage and gather feedback. Answers are AI-generated from your own account data and should be verified before you act on anything material.
Read the full announcement or schedule a demo to see it against your data.


