Product · Enrichment

The supplemental research your underwriters
do by hand — automated.

Enrichment appends third-party data, normalizes addresses, resolves entities, and runs rule-based risk signal checks against every submission. Coverage suggestions surface automatically from enriched data — every recommendation traceable to the signals that produced it.

See it in action
Data Enrichment5 checks
InsuredHartwell Logistics Inc.
LineComm. Auto · Fleet
Address3100 Harbor Blvd, Houston TX 77002
CoreLogicProperty data
Verisk OFACSanctions
ISO LossCheckLoss history
Dun & BradstreetEntity · credit
NCCI ERMWC mod
Flood zone: X (minimal)Roof age: 8 yr · Class A const.
✓ No match — clean
✓ 2 prior losses · $142K total (5 yr)
Running
Pass
Flag
Queued
Queued
Coverage suggestionComm. Auto · Hired & Non-Owned · Motor Truck Cargo
Based on: flood zone, loss history, fleet class
Key capabilities

Third-party data, risk signals,
and coverage inference — automated.

Enrichers

Configure third-party data append from property, geocoding, entity, and industry data sources. Address normalization and entity resolution ensure consistent identity across submissions before any downstream process runs.

External checks

Rule-based risk signal checks run against every submission — sanction lists, loss history indicators, credit signals, property hazard data. Every check is versioned; hit tracking and reporting give you a full record of what fired and when.

Coverage suggestions

AI-driven coverage inference maps enriched submission data to your product lines and coverage options. Every suggestion is traceable to the enrichment signals that drove it — not a black box, but an auditable recommendation.

How it works

From raw submission to enriched, risk-scored record in three steps.

1
Configure enrichers

Select data sources — property, geocoding, entity resolution, industry databases. Set normalization rules and resolution thresholds. Enrichers are versioned; changes to a configuration produce a new version without disrupting in-flight submissions.

2
External checks run

Every submission passes through the configured check set — sanction lists, loss indicators, hazard data, credit signals. Hits are tracked per check, per submission, with a full result record available for downstream review and reporting.

3
Coverage suggestions surface

Enriched data feeds the coverage inference layer. Suggested product lines and coverage options appear alongside the submission record, each linked to the specific enrichment signals — address, entity type, property class — that produced the recommendation.

From the field
Our underwriters were spending *forty minutes per submission* on manual research. Enrichment runs that same check set in under a minute — and everything it found is cited.
VP of Underwriting, E&S Carrier
The Ecosystem

Built for how the industry actually works.

Quovy does not pitch core replacement. Tech leaders know how painful that is. We thread through the homegrown patchwork specialty teams have stitched together over years.

Guidewire
Duck Creek
Majesco
Origami Risk
Salesforce FSC
Snowflake
LexisNexis
Verisk
Applied Epic
Vertafore
OneShield
Socotra
Insurity
Sapiens
IVANS
EZLynx
ServiceNow
In-house
Guidewire
Duck Creek
Majesco
Origami Risk
Salesforce FSC
Snowflake
LexisNexis
Verisk
Applied Epic
Vertafore
OneShield
Socotra
Insurity
Sapiens
IVANS
EZLynx
ServiceNow
In-house
Outlook
Gmail
SharePoint
OneDrive
Google Drive
Excel
Google Sheets
Google Docs
Word
PowerPoint
AWS
Azure
Google Cloud
OFAC
SEC
Slack
Microsoft Teams
Moody's
NAIC
Dun & Bradstreet
Outlook
Gmail
SharePoint
OneDrive
Google Drive
Excel
Google Sheets
Google Docs
Word
PowerPoint
AWS
Azure
Google Cloud
OFAC
SEC
Slack
Microsoft Teams
Moody's
NAIC
Dun & Bradstreet
Enrichment

See Enrichment in action.

Walk through a live enrichment run — data append, risk signal checks, and coverage suggestions — against a real submission.