Johnston, RI (Aug. 10, 2026) \u2013 Commercial property insurer FM is pleased to announce the acquisition of FortressFire, a leading provider of wildfire intelligence that combines machine learning and physics-based modeling. Financial details of the transaction were not disclosed.<\/p>\n
Through a data-driven, science-backed approach to wildfire risk modeling, FortressFire helps protect homes, businesses and communities from wildfire loss. Operating as an independent, wholly owned division of FM, FortressFire\u2019s platform enables insurers and property owners to better understand and manage wildfire risk down to an individual property level. Its wildfire intelligence solutions include aerial wildfire reports, monitoring, analytics, ground inspections and mitigation assessments to provide actionable, structure-specific insights and mitigation recommendations.<\/p>\n
\u201cFortressFire shares FM\u2019s core belief in the power of data-driven, location-based risk mitigation and protection measures to help clients better understand and manage wildfire exposure,\u201d said Malcolm Roberts, chairman and chief executive officer of FM. \u201cThe FortressFire team brings powerful tools to assess and mitigate wildfire risk, and we are excited to welcome them to the FM family.\u201d<\/p>\n
\u201cFor years we\u2019ve argued that the best risk management is ignition prevention\u2014and that the path to insurability runs through science,\u201d said Michael Ashker, founder, chairman and chief executive officer of FortressFire. \u201cTo have an engineering-focused insurer of FM\u2019s caliber put its capital and conviction behind that thesis is the strongest possible validation of what our team has built.\u201d<\/p>\n
Wildfire has long threatened property\u2014but its risk has intensified in many parts of the world in recent years. FortressFire was built to reverse that cycle\u2014quantifying ignition risk through fire physics, prescribing verifiable mitigation recommendations and monitoring properties to keep them protected over time.<\/p>\n
The acquisition pairs FortressFire\u2019s structure-specific wildfire intelligence with FM\u2019s long engineering heritage, scientific research capabilities and balance sheet strength. FortressFire will continue to serve insurers, reinsurers, brokers, real estate professionals, lenders and property owners across the market under its own brand and leadership.<\/p>\n
Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world\u2019s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. For more information, please visit www.fm.com<\/a>.<\/p>\n FortressFire brings together wildfire scientists, insurance professionals, technologists and fire mitigation experts to help protect homes, businesses and communities from wildfire loss. Most wildfire risk tools estimate how likely a fire is to happen. FortressFire goes further, determining whether a structure will ignite \u2014 and then preventing it. Through its proprietary AMP Platform \u2014 Assess, Mitigate, Monitor, Protect \u2014 FortressFire provides structure-specific wildfire vulnerability analysis, mitigation guidance, onsite inspection and ongoing monitoring and protection services. Using physics, thermodynamics, fire behavior modeling and structure-fuel analysis, FortressFire turns science into action with targeted protection that reduces loss. By quantifying ignition risk and validating mitigation effectiveness, FortressFire helps insurance carriers reduce loss, enables underwriters to improve precision and provides property owners with actionable next steps. For more information, please visit www.fortressfire.com<\/a>.<\/p>\n Source: FM Global<\/i><\/p>\n Tags: Acquisition<\/a>, FM Global<\/a>, Machine Learning (ML)<\/a>, wildfires<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":" Transaction brings together FortressFire\u2019s physics-based wildfire risk modeling platform and FM\u2019s leading engineering and research capabilities Johnston, RI (Aug. 10, 2026) \u2013 Commercial property insurer FM is pleased to announce the acquisition of FortressFire,...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[1],"class_list":["post-25316","post","type-post","status-publish","format-standard","hentry","tag-news"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/posts\/25316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/comments?post=25316"}],"version-history":[{"count":0,"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/posts\/25316\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/media?parent=25316"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/categories?post=25316"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.lifeinsurance-orleans.ca\/index.php\/wp-json\/wp\/v2\/tags?post=25316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}About FortressFire<\/b><\/h4>\n