Home Insurance NSI Insurance coverage acquires Most popular Hyperlink

NSI Insurance coverage acquires Most popular Hyperlink

NSI Insurance coverage acquires Most popular Hyperlink

NSI Insurance acquires Preferred Link

Privately-owned insurance coverage company NSI Insurance coverage Group is strengthening its presence in South Florida with the acquisition of Most popular Hyperlink.

An insurance coverage company beforehand serving as a subsidiary to FedNat, Most popular Hyperlink makes a speciality of householders’ insurance policies. The deal enhances NSI’s place as one of many largest privately-owned insurance coverage brokerage and advisory corporations in Florida, an organization launch defined.

The choice to amass Most popular Hyperlink to deepen NSI Insurance coverage’s experience within the private strains house comes as Florida householders are caught with premiums which might be thrice larger than the nationwide common, NSI stated, citing knowledge from the Insurance coverage Data Institute.

“Florida customers are hurting, and the perfect treatment for navigating right this moment’s difficult market is working with a crew that understands tips on how to consider threat and align shoppers with the coverage that’s proper for them,” stated NSI Insurance coverage Group CEO Oscar Seikaly. “NSI’s addition of Most popular Hyperlink will present a further layer of skilled advisors who know the ins and outs of Florida’s insurance coverage panorama, and are well-versed in offering a excessive caliber of shopper service throughout the state.”

NSI additionally introduced in a press release that its acquisition of Most popular Hyperlink is the most recent in a collection of M&A transactions it had executed because it seems to be to increase each its experience and shopper roster in Florida.

Final yr, NSI acquired the insurtech HoneyQuote.com. HoneyQuote is a house insurance coverage comparability instrument that enables householders to match quotes and insurance policies from insurance coverage suppliers in real-time by way of its machine-learning algorithm.