Select inside the quote
Hours to a score, not weeks. The assessment runs while the submission is still on the desk.
For MGAs
Price AI risk with proof.
A repeatable, defensible way to select and price AI-heavy risk, inside the quote, with reporting your carrier and reinsurance panel can read.
Writing AI-heavy risk takes a method you can show your capacity.
Show your work
Six categories and one scoring model, the same for every risk. Panel reporting comes out of the same run.
Get better every cycle
Every bound risk and every re-assessment feeds the dataset behind your next pricing review.
How MGAs use Cantaloupe
Hours to a score, not weeks. The assessment runs while the submission is still on the desk.
Six categories and one scoring model, the same for every risk. Panel reporting comes out of the same run.
Frequency and severity signals by category, so rating factors reflect what the AI agent actually does.
Every bound risk and every re-assessment feeds the dataset behind your next pricing review.
One platform, from the first submission to the next pricing review.
Exposure Discovery
Find the customer-facing AI agents already sitting in your book, by line and by insured.
Learn more →Risk Assessment
Score an AI agent before the policy is written, with the evidence behind every finding.
Learn more →Continuous Monitoring
Re-assess on a schedule and know when a bound AI agent drifts from the policy you wrote.
Learn more →API Integration
Scores and evidence delivered where underwriters already work. No new tools, no new logins.
Learn more →Enterprise-grade security and controls
Carriers hand us their book and their policyholders’ AI agents. Data stays encrypted, access is scoped to the engagement, and independent assessments stand behind every control we claim.
SOC 2 Type II
CCPA
ISO 27001
GDPR
EU AI Act
ISO 42001