Eni / Safety Presence AI predicting recurring hazards from safety-data weak signals
AI-262 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceWhat the source says
Eni reports using Safety Presence, an AI tool that predicts recurring hazardous situations from weak signals recorded in safety databases. Eni says it has generated about 800 alerts since deployment, which led to targeted preventive actions.
- Company
- Eni
- Department
- HSE & emissions
- Record type
- company_adoption
- Disclosed stage
- Source date
- 2026-06-03
- Source-date precision
- day
- Source provenance
- A · Operator filing
- Review disposition
- Source-attributed; not an independent validation
Reported result
About 800 alerts generated since deployment, leading to targeted preventive actions (company-reported; deployment date not stated)
What this does not establish
Alert counts measure tool output; Eni does not attribute any injury-rate change to Safety Presence or report its precision.
Original sources
A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.