Fuse launches Mark to score commercial insurance submissions against live market data

Fuse launched Mark on April 28, an AI tool that scores commercial insurance submissions across five dimensions using live market data from 50+ sources. Brokers and underwriters can upload any file type and get results in seconds.

Categorized in: AI News Insurance
Published on: May 02, 2026
Fuse launches Mark to score commercial insurance submissions against live market data

Fuse launches Mark, an AI tool that scores commercial insurance submissions in seconds

Fuse, an AI platform for commercial insurance, released Mark on April 28, a product that evaluates insurance submissions against live market data across five dimensions. Brokers can use Mark to stress-test packages before sending them to carriers; underwriters get an independent scoring layer when submissions arrive.

Commercial insurance submissions create a fundamental information problem. Brokers send packages to multiple carriers and wait days to learn which markets will engage. Carriers receive thousands of submissions weekly with no systematic way to evaluate them against current market conditions. The result: declined submissions, mispriced renewals, and coverage gaps discovered only at claim.

Mark closes that gap by extracting data from any file type - ACORD forms, loss runs, declarations pages, PDFs, Word documents, spreadsheets, or images - and building a five-stage scorecard that shows what underwriters will see when the submission lands.

How Mark evaluates submissions

Mark runs five separate analyses, each against Fuse's data engine, which pulls from over 50 live sources including SERFF rate filings, NAIC carrier financials, FEMA peril events, and Lloyd's market data.

  • Market Environment: Which carriers in the submission's appetite zone are still writing the class, line, and venue. Which exited last quarter.
  • Peril Concentration: Exposure to active peril events, CAT zones, nuclear verdict trends, and litigation funder activity in the operating territory.
  • Coverage Adequacy: Limits, deductibles, and sublimits compared to current market norms for comparable risks.
  • Rate Benchmark: Expected market pricing for the profile, derived from filed rates and live submission outcomes across the platform.
  • Submission Quality: Completeness, internal consistency, and underwriter-friendliness of the package itself.

The data engine refreshes on rolling intervals as short as ten minutes, pulling signals from sources like USDA Risk Management Agency data, FMCSA carrier safety records, and BLS economic indicators.

Availability and pricing

Mark is available today on the Fuse platform. Brokers can test it with a 14-day free trial; ongoing access comes with Fuse Professional and Enterprise tiers. Enterprise customers receive Mark alongside Pulse compliance and Prism programmable agents.

Users can upload submissions individually or batch them for portfolio-level scoring. More information is available at fuserisk.com/mark.

For professionals working in insurance, understanding how AI for Insurance platforms process submissions and market data is increasingly relevant to underwriting workflows and broker operations. AI Data Analysis tools like Mark demonstrate how machine learning can synthesize multiple data sources to surface actionable intelligence at scale.


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