Solutions
Minutes, Not Days:
Redefining Underwriting Speed
How Roosevelt Road Specialty replaced fragmented, manual risk workflows with Neural Earth.
A Bridge to Global Reinsurance Markets
“By integrating Neural Earth's AI-driven geospatial analytics into our underwriting processes, we deliver more precise solutions for our clients and enhance our protection of their portfolios.”Daniel Hickey Jr., CEO of Roosevelt Road Specialty
Roosevelt Road Specialty is a premier Managing General Underwriter (MGU) and specialty insurance platform headquartered in New York, specializing in construction, habitational real estate, senior living, and sports and entertainment. The firm built its reputation as a General Liability writer — expert at managing the liability side of habitational and commercial risks, with a claims-handling operation trusted across the wholesale brokerage community.
In the MGU space, Roosevelt Road Specialty acts as the bridge to global reinsurance markets. Their ability to write business is based on trust — trust that they're selecting high-quality risks and managing those risks with rigor. Every decision Roosevelt Road Specialty makes carries reputational weight.
Roosevelt Road Specialty already had deep relationships with brokers and clients on the General Liability side. Expanding into property would let the insurer offer a comprehensive, holistic solution to customers. But property risk is tightly bound to environmental variables — flood zones, wildfire brush lines, coastal wind-loading — and the data to evaluate property risk is seldom complete.
Brendan Cook, Chief Underwriting Officer of Property, knows what's at stake firsthand. At a previous firm, a catastrophic Texas freeze loss put his team's reputation on the line. Years later, he was told that a reinsurer had only maintained its capacity because of the rapid, precise loss analysis Cook's team provided immediately after the event. Having decision-ready insights is what protects an MGU's reputation when reinsurance treaty limits are tested.
“If I had Neural Earth available to me earlier in my career, I could have made even swifter, better decisions. Plus, its data gives our capital providers confidence that we know exactly what is on our books.”— Brendan Cook, CUO of Property, Roosevelt Road Specialty
The Most Dangerous Risk
For a property underwriter, the most dangerous risk is the one they don't know exists.
Paul Esposito, a Property Underwriter at Roosevelt Road Specialty, recalls a submission that looked routine on the surface. The broker-provided data didn't raise any flags. But when Esposito ran the locations through the Neural Earth Risk Intelligence Platform, one address came back with a flood hazard score of 8 out of 10. “I hadn't picked up on the flood exposure. But Neural Earth flagged it instantly. I started deep-diving and realized we were looking at a major exposure. We were able to exclude flood coverage for that specific location immediately,” says Esposito.
In the world of Managing General Underwriters (MGUs), one insight can be the difference between a profitable year and a catastrophic loss. As Brendan Cook puts it: “The worst way to find out you have a bad risk is through a loss.”
The SOV Problem
Before their partnership with Neural Earth, the Roosevelt Road Specialty team faced a challenge shared by all property insurers: gauging the accuracy of critical information submitted by an insured party, better known as a Statement of Values (SOV).
“We historically relied on the SOV information provided by clients,” says Cook. “But there can be a lot of holes in that data. It might be under-declared value or rudimentary construction info. We need to ‘trust but verify’ — but doing that manually is a massive time-tax.”
Before Neural Earth, verification meant toggling between multiple third-party tools and FEMA flood maps. Services like a Marshall & Swift/Boeckh valuation can run $10 to $25 per location. For a portfolio with 72 locations, that's a multi-day task — and in a market where speed determines who gets the quote, days might as well be weeks.
“If you're going line-by-line through 72 locations and waiting for manual map lookups, you're not the first person to quote anymore. In this business, if you're not fast, you're not relevant.”— Brendan Cook, CUO of Property, Roosevelt Road Specialty
For Mackenzie Keller, an Underwriting Assistant who joined the Roosevelt Road Specialty property team last September, the platform has also served as a unique training tool — providing a visual, map-based understanding of each portfolio that accelerates the learning curve for newer underwriters. “Neural Earth has really helped me get a visual understanding of the product we're offering,” says Keller. “A better understanding of the portfolio means better underwriting, with high quality and accuracy.”
Beyond the ZIP Code
In the modern climate, catastrophic perils — flood, wildfire, wind — are the primary drivers of property loss. Traditional risk models often rely on broad ZIP-code averages, which can be misleading: a ZIP code might score “low risk” while a specific building within it sits in a low-elevation basin directly in a flood path.
Neural Earth's geospatial precision moves Roosevelt Road Specialty beyond the ZIP code to the actual “fingerprint” of the property. The platform provides geocoded peril data alongside information that traditional models miss entirely — such as real estate transactions and estimates of total insurable value (TIV) updated in near-real time.
That granularity changes how decisions get made. Rather than rejecting an entire account because one location looks risky, Roosevelt Road Specialty can make surgical calls — excluding a single high-risk peril for one building while writing the rest of the portfolio with confidence.
Minutes, Not Days
The most immediate operational impact has been the shrinking of the time-to-decision window. “Neural Earth shrinks decisions down from hours or days into minutes,” says Brendan Cook. “We can take a broad-brush stroke across an entire portfolio and see instantly if buildings effectively share the same risk or if there are outliers we need to investigate.”
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