Recognition highlights Haven's role in advancing AI-driven safety innovation across the electric power and utilities industry
ATLANTA, GA / ACCESS Newswire / May 6, 2026 / Haven Safety AI, an AI-native safety intelligence platform, has been selected as one of three finalists for the 2026 Edison Award by the Edison Electric Institute (EEI), one of the electric power industry's highest honors recognizing distinguished leadership, innovation, and contributions to the advancement of the industry. Haven is the only AI-based solution that made the finalists' list.
Haven was cofounded by The AES Corporation (NYSE:AES) and AI Fund, a venture studio founded by Andrew Ng.
Built to address a persistent industry challenge, Haven enables organizations to move beyond traditional ways of safety reporting toward a continuous system of learning and risk reduction. By structuring evidence, standardizing root cause analysis, and linking corrective actions to defensible reasoning, Haven significantly improves both the speed and the insights gathered from investigations.
At AES, Haven has demonstrated measurable impact, including up to an 80% reduction in investigation labor effort, compression of investigation timelines from weeks to hours, and expanded investigation coverage across incidents, near misses, and lower-severity events.
"Instead of spending time compiling reports behind a desk, our teams can now focus on understanding risk on site," said Chantz Horman, Director of U.S. Operations and Construction Health & Safety at The AES Corporation. "We have seen an 80% reduction in root cause analysis safety investigation labor time with the adoption of Haven Safety AI. With its intuitive interface, Haven has quickly become a force multiplier. It's helping us capture better information from the field, structure investigations more consistently, and learn faster."
"This recognition from EEI reflects a broader shift underway in the EHS industry," said Joseph Hanna, Co-Founder and CEO of Haven Safety AI. "For decades, safety systems have focused on documenting the past. Haven is built to change that. By applying AI directly within investigation workflows, we are enabling safety teams to learn faster, act earlier, and ultimately prevent incidents before they happen."
Haven's platform combines structured evidence capture with advanced causal analysis through its integrated modules and AI agents, enabling organizations to identify systemic risks, standardize investigation quality across sites, and generate corrective actions grounded in both operational and regulatory contexts.
The Edison Award finalists are selected by a review committee composed of industry experts, and the final winners are determined by a panel of former EEI chairs and senior electric industry leaders. Winners will be announced at EEI's Annual Conference in June.
Haven's selection underscores the growing importance of AI-native solutions in strengthening safety performance, improving regulatory defensibility, and enabling more resilient operations across the electric power industry.
For more information, visit www.havensafety.com.
About Haven
Haven Safety AI, a product of Haven Safety Corporation, provides an AI-native platform for incident investigations, root cause analysis, and proactive risk reduction. By combining artificial intelligence with a structured industry knowledge graph, Haven helps organizations capture frontline insights, analyze systemic causes, and continuously improve safety performance. For more information, visit www.havensafety.com.
Media contact: jane@havensafety.com.
SOURCE: Haven Safety Corporation
View the original press release on ACCESS Newswire:
https://www.accessnewswire.com/newsroom/en/computers-technology-and-internet/haven-safety-ai-named-finalist-for-eeis-prestigious-edison-award-1163350
