CauseFinder
An AI workbench for industrial safety engineers that turns incident reports, maintenance logs, and sensor data into structured fault-tree analyses and surfaces the actual causal contributors—not just correlations.
Industrial safety and reliability engineers
- Auto-generated fault trees from incident reports and equipment logs with an editable graph view
- Causal contributor highlighting that ranks true root causes over contributing factors
- Corrective action suggestions mapped to each root cause with regulatory reference (OSHA, IEC 61508, ISO 26262)
- Exportable audit-ready reports for compliance reviews
Industrial incidents are increasingly complex (software + hardware + human factors), but most teams still rely on minimal cut-set analysis that misses why events went wrong; formal 'actual causality' methods are now mature enough to ship as software.
FTA software market projected at $5.77B by 2025 with 8.2% CAGR, and multiple established vendors (Isograph, ReliaSoft, Relyence, EasyRCA) confirm real demand from safety/reliability engineers.Fault-tree Analysis Software Market's Growth Catalysts ↗AI in Root Cause Analysis: How Emerging Tools Are Changing Reliability ↗
Crowded incumbent space — Isograph FaultTree+ has been shipping since 1987, plus ReliaSoft, Relyence, EasyRCA, Coroot, SmartQHSE all address overlapping RCA/FTA workflows; 'actual causality' differentiation is novel but narrow and academic.Isograph FaultTree+ fault tree analysis software ↗Hazop+ vs. ReliaSoft vs. Relyence Fault Tree Comparison ↗
Safety engineering tools command high enterprise prices (ReliaSoft/Isograph are $5K–$50K+/seat range) and regulatory drivers (IEC 61508, OSHA, RIDDOR) create clear willingness to pay for defensible analysis.ReliaSoft - Reliability Analysis and Management Software ↗Best Enterprise RCA Software with AI-Assisted Investigation Features ↗
Industrial safety is regulation-bound and multi-decade; fault tree methodology is entrenched in nuclear, aerospace, process industries, and arXiv shows active research momentum (actual causality papers 2024–2025) extending the field rather than replacing it.Actual causality in fault trees - arXiv.org ↗Fault Tree Synthesis from Knowledge Graphs - arXiv.org ↗
Hard to build well: requires parsing heterogeneous incident/maintenance/sensor data, implementing Halpern-Pearn actual causality reasoning, knowledge-graph fault tree synthesis, plus integrations with industrial historians and EAM systems — non-trivial engineering with domain-expert validation needed.Fault Tree Synthesis from Knowledge Graphs - arXiv.org ↗