Incident Data as Risk Intelligence
Hidden Signatures.
Safer Systems.
Sift Systemics helps safety leaders find fatal-risk pathways buried inside ordinary low-severity incidents, near misses, and routine observations already being collected.
How SIFT Systemics Works
1. Incident Data
Near misses, observations, first aid, recordables, and incident reports.
2. SIFT Analysis
AI and expert review uncover hidden energy pathways, exposure patterns, and control failures.
3. Hidden Risk Identified
High-consequence pathways identified before they lead to serious injury or fatality.
4. Action Before a Fatality
Prioritize reviews, controls, and resources where fatal-risk potential is greatest.
cases exhibited identifiable and repeatable fatal energy pathway patterns
incident cases studied across multiple industries and sectors
of severe events had survivable outcomes — yet extreme fatal physics
Why it matters
Prevention is in the data.
Regardless of the outcome.
Find high-consequence patterns buried in anonymized low-severity incident data
Prioritize safety reviews by fatal-risk proximity, not just frequency
Create an owner-ready action plan for contractors and operational risk governance
Start with a limited, anonymized dataset before any larger engagement
Interested in finding what your incident data is already telling you?
Share a few details and Sift Systemics can discuss a limited pilot using anonymized incident, near-miss, or observation data.