Haven Safety AI Unveils Safety Intelligence: Major Breakthrough in Industrial AI Safety

In a significant advancement for AI-driven workplace safety, Haven Safety AI has launched Safety Intelligence, an AI-native platform designed to transform incident investigations in industrial settings. Emerging in February 2026 and backed by Andrew Ng’s AI Fund and energy giant AES, the platform acts as a digital copilot for safety investigators, providing proactive insights and speeding up root cause analysis to prevent future incidents.

Safety Intelligence comprises three interconnected modules: havenSIGHT, which captures audio, photos, and sensor data using natural language processing for transcription, sentiment analysis, and asset linking; havenEDGE, which employs an industry knowledge graph based on OSHA and CSB rulings to identify root causes via the ICAM framework and auto-generate corrective actions; and havenIMPACT, which monitors action implementation and detects emerging risk indicators. The knowledge graph uses machine-readable triples with provenance from regulations like ISO 45001, ensuring traceable and explainable AI outputs.

This breakthrough addresses critical industrial safety challenges, including the $176.5 billion annual cost of workplace injuries in the US, inconsistent manual investigations, and siloed data. By automating evidence structuring into narratives and causal maps, it enables cross-site pattern recognition and proactive interventions, positioning itself as a foundational layer for safety management systems used by insurers, regulators, and operators.

Early adopters, including AES teams, report 50-80% faster investigation cycles within 90 days, reduced analyst workloads through automated corrective action suggestions, and the ability to quantify potential reductions in Serious Injury and Fatality (SIF) risks over 18 months. Incidents are now resolved from report to action in hours rather than days, highlighting the platform's immediate impact on operational safety.

Haven's Safety Intelligence marks a pivotal step in AI safety for high-risk industries, blending cutting-edge AI with regulatory-grounded knowledge to foster safer work environments and potentially save lives through faster, more accurate safety responses.