A proof-of-concept exploring how fragmented safety information could be connected into usable operational intelligence.
Safety-critical organizations can generate enormous amounts of information across incidents, investigations, corrective actions, hazard analyses, regulations, research, and operational systems. SIR explores what could happen if those sources were connected rather than treated as isolated records.
Each prototype represents a different part of the larger SIR concept. Together they demonstrate how safety information could move from an individual event toward connected organizational learning.
Structured collection and review of operational incidents, classifications, conditions, and investigation status.
Launch Prototype →Explores relationships between incidents, ODD conditions, hazards, corrective actions, regulatory information, and research.
Launch Prototype →Demonstrates investigation workflow, root-cause documentation, corrective actions, ownership, verification, and closure.
Launch Prototype →Demonstrates how connected safety information could support trend analysis, emerging-risk identification, and organizational visibility.
Launch Prototype →SIR treats AI as a supporting capability rather than a decision-maker. Potential applications include information normalization, relationship discovery, similarity identification, research retrieval, pattern recognition, and drafting assistance.
The concept is LLM-agnostic. A production implementation could use an appropriate model based on organizational security, privacy, performance, governance, cost, and deployment requirements.
This is an independent conceptual and educational proof of concept. It is not a production safety system and is not affiliated with, endorsed by, sponsored by, or representative of any autonomous vehicle manufacturer, autonomous driving company, regulatory agency, government organization, or other entity.
Unless specifically identified and cited, incidents, organizations, vehicle information, regulatory references, identifiers, CAPAs, hazards, metrics, failure modes, dates, statistics, dashboards, alerts, and investigation results displayed within these prototypes are fictional, synthetic, illustrative, or placeholder information created solely to demonstrate the concept.