About Haven Safety
Haven Safety AI is building the enterprise learning intelligence layer for safety. Co-founded with The AES Corporation and AI Fund, the venture studio founded by Andrew Ng, Haven helps high-risk organizations learn faster from what goes wrong so they can prevent what comes next.
Haven works alongside existing EHS enterprise systems to improve how organizations investigate, assess, and learn from incidents. INVESTIGATE guides evidence synthesis, timeline development, multi-threaded causal analysis, and corrective actions. ASSURE continuously reviews completed investigations for evidence quality, causal coverage, guideline adherence, and CAPA strength. LEARN reasons across incident history to surface recurring control failures, repeated corrective-action patterns, CAPA debt, and emerging signals.
The platform combines current incident evidence, company knowledge, historical cases, and an industry knowledge graph. A coordinated team of specialized AI agents examines evidence, controls, engineering factors, procedures, regulations, training, and organizational history, then produces one traceable assessment for human review. Customers have reported an 80% reduction in root cause analysis labor time using Haven.
Why Join Haven Safety
- Meaningful reasoning problems. Work across evidence, causal pathways, controls, organizational history, and corrective actions in a domain where correctness matters.
- An evaluation-first culture. Make quality measurable, observable, and improvable instead of relying on demos or intuition.
- Visible customer impact. Build for safety teams in energy, utilities, infrastructure, construction, and manufacturing, with direct feedback from the people using the output.
- Small team, high ownership. Work closely with the CTO, product, and knowledge engineering, make consequential technical decisions, and see your work reach customers quickly.
Sponsorship will not be provided for this role. Please no agency inquiries!