Haven combines domain knowledge, structured reasoning, and AI-native analysis to deliver deeper insights, defensible corrective actions, and predictive signals.
Better Data. Better Investigations. Better Outcomes.
87%
Reduction in data collection time
95%
Investigator consistency
100%
Evidence completeness
HavenSIGHT transforms how you collect incident data. Using adaptive intelligence and multi-format ingestion, we ensure every investigation starts with complete, accurate, and actionable evidence.
AI Witness Statement Gathering
Adaptive interview questioning that guides witnesses based on context, ensuring no critical details are missed.
The system analyzes initial inputs and dynamically generates follow-up questions based on industry best practices and your specific operational context.
Multi-Format Ingestion
Seamlessly capture audio recordings, photographs, documents, and structured data in one unified workflow.
AI-powered processing converts unstructured witness statements, audio, and images into structured, searchable evidence.
Standardized Evidence into Timeline
Extracts facts and conditions automatically, reducing investigator variability and ensuring consistency. Compiles everything into a easy to read timeline.
Built-in validation checks ensure completeness and flag missing information before the investigation proceeds.
HavenEDGE goes beyond surface-level RCA with AI-assisted reasoning, uncovering the true root causes and delivering corrective actions that actually prevent recurrence.
5 Whys
Trace incidents back to their source. Customize or add your own 'whys' for unparalleled insight.
AI generates potential 'whys' with confidence scores, accelerating your investigation.
Multi-Threaded
Branching logic lets you explore multiple lines of inquiry simultaneously. Uncover complex relationships with ease.
Similar to 5 Whys, AI generates potencial ‘branches’ of logic, with confidence scores.
Fishbone
Visually map cause and effect with an interactive fishbone diagram. AI suggests potential causes, streamlining your analysis and revealing hidden relationships.
AI suggests potential causes, streamlining your analysis and revealing hidden relationships.
Corrective Actions
Adaptive interview questioning that guides witnesses based on context, ensuring no critical details are missed.
The system analyzes initial inputs and dynamically generates follow-up questions based on industry best practices and your specific operational context.
Corrective Actions That Actually Work
3.2x
Reduction in data collection time
78%
Reduction in repeat incidents
92%
Faster root cause identification
IN BETA
HavenIMPACT uses advanced pattern recognition and predictive analytics to identify emerging risks and systemic vulnerabilities across your organization—before they result in incidents.
SIF Precursor Detection
Trend Identification
Cross-site Pattern Clustering
CAPA Recommendations
Early Warning Signals
Executive summaries
Unlike generic AI models, Haven is built on a domain-specific safety knowledge graph. It encodes hazards, controls, failure modes, tasks, and exposures from recognized global standards to ensure accuracy and defensibility.
Knowledge Graph
Witness Statements
JSAs/JHAS
Environment Data
Medical Reports
Designed for High-Risk and Complex Operations
Manufacturing
Utilities
Warehousing & Logistics
Construction
Transportation
Oil & Gas
Food Processing
Government
See Haven in Action
Schedule a personalized demonstration with our solution architects. See how Haven's AI-native platform transforms reactive reporting into proactive prevention.