Accurate Property Data = Faster Quotes

Insurance agencies that write homeowners and commercial property policies all run into the same operational bottleneck: you can’t scale submissions if you can’t trust the property data you’re working with.

Every quoting workflow—whether personal lines, small commercial, or complex coastal risks—ultimately depends on accurate property data. But most producers and account managers still bounce manually between:

• Property listing sites

• County portals

• FEMA flood maps

• Google searches

• Outdated vendor files

And even when they do use a data vendor, a recurring question comes up:

“How do I know this information is accurate?”

The Problem: “Data Vendor” ≠ “Correct Data”

Even the best data vendors source from public records, MLS, assessors, and third-party aggregators. Those inputs aren’t always fresh.

A property may have been:

• Renovated

• Demolished

• Rebuilt

• Re-permitted

…after the last recorded update.

So an assessor file might say a home was built in 1950, while a listing site shows new construction—and permits tell a completely different story.

If producers rely on these mismatches, two things happen:

1. Carriers question the submission.

2. Time to quote slows down.

Accuracy becomes a throughput problem.

A Real Example: When Multiple Sources Disagree

Take a property here in Greenville, South Carolina.

Several traditional data sources labeled it as built in 1950.

But Adventus didn’t stop there. Our platform layered AI reasoning on top of multiple data points:

• Listing sites from AI-powered web search showed new construction completed in 2023.

• Permit history confirmed the original 1950 home was demolished in 2013.

• Recent imagery supported the conclusion—this was clearly a brand-new structure.

By comparing data across sources and reconciling conflicts with actual evidence, Adventus surfaced the correct story, not the outdated one.

This is the difference between “data aggregation” and data intelligence.

How Adventus Improves Property Data Accuracy

Adventus does not simply pass through whatever the vendor returns.

Instead, every property goes through an AI quality layer that:

1. Blends multiple independent data sources

Parcel, assessor, listings, permits, hazard data, and more.

2. Identifies conflicts automatically

If three sources say “1950,” but two say “2023,” Adventus flags the inconsistency.

3. Uses reasoning to determine the most likely truth

Our AI evaluates timelines, permit histories, demolition events, listing photos, and text patterns across sources.

4. Surfaces a coherent, up-to-date narrative

So producers submit cleaner, more defensible applications to carriers.

This approach dramatically reduces the “Is this right?” friction that slows quoting teams down.

Why Accurate Property Data Matters for Agencies Trying to Scale

When quoting is manual and messy, agencies hit a wall:

• Producers spend too much time validating basic information.

• Account managers re-verify data for carriers.

• Submissions bounce back due to questionable details.

• High-value prospects wait.

Accuracy isn’t just about getting the facts right—it’s about enabling growth.

When a producer can trust the data, they can move faster.When an agency can move faster, they can write more business.

Adventus: Accurate Property Intelligence for Residential and Commercial Risks

Whether you're quoting homeowners, habitational, small commercial, or a mix of both, Adventus helps you:

• Get fresher, more verifiable property data

• Cut manual research time

• Submit stronger applications to carriers

• Scale submissions without scaling staff

If you’re looking to streamline quoting and reduce the headaches of conflicting or outdated property records, Adventus is built for that.