Narrative-native NLP
Reads free-text field reports the way an HSE investigator does — activity, hazard, barrier, exposure, and what did not happen.
SIH 2026 · Problem Statement SIH26165
SIFGUARD AI
See the warning signs before they become incidents.
An AI-powered safety intelligence platform that transforms unstructured safety reports into actionable SIF precursor intelligence.
- Reports Analysed
- 0
- SIF Candidates
- 0
- Recurring Patterns
- 0
- Critical Sites
- 0
Intelligence Pipeline
- Safety ReportUnstructured field narrative01
- NLP EngineEntity & negation extraction02
- SIF DetectionFatality-potential scoring03
- Precursor ExtractionHazard + barrier failure pairs04
- Risk IntelligenceCross-site pattern linkage05
- Preventive ActionPrioritised interventions06
Engine Operationalconfidence 94.2%
Why SIFGuard
SIF potential scoring
A transparent 100-point model across hazard severity, barrier failure, exposure, activity criticality and recurrence.
Cross-site pattern linkage
Connects isolated near misses into recurring precursor patterns before they converge into a fatality.
Human-in-the-loop
Every classification is a recommendation. HSE officers confirm, reject or reclassify — the model learns from the decision.
Turn near misses into early warnings.
Paste a real field report and watch the engine extract entities, score SIF potential, map Life-Saving Rules and link it to a recurring precursor pattern.