Korra Launches AI Tool for Reinsurance Deal Analysis
The application allows reinsurance operators to automate loss modeling and transaction reporting within a single workflow.
Updated on Oct. 21, 2026 in Remote Work
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Korra has launched a new Deal Analysis application designed to automate the evaluation of casualty, non-catastrophe property, and specialty reinsurance transactions. The software integrates AI-driven data extraction and stochastic loss modeling into a unified workflow for firms managing reinsurance submissions.
Why it matters
Market participants currently rely on disconnected spreadsheets and manual workflows, creating a bottleneck as firms seek better tools to assess risk and transaction economics. Korra's platform aims to modernize this process by standardizing loss modeling and report generation.
The application supports reinsurance analysis using internal rate of return and multiple on invested capital metrics. It utilizes hierarchical Bayesian models to generate projections, replacing the manual efforts typically associated with evaluating submissions from managing general agents.
The players
Korra
A technology provider specializing in AI-driven software solutions for the global reinsurance and risk management industry.
The details
The software streamlines the reinsurance lifecycle by extracting data from submissions and incorporating external industry data to fill gaps in historical records. By integrating stochastic loss modeling and deal structuring into a single interface, it allows users to test transaction economics and produce investor-ready documentation more efficiently than legacy manual workflows.
Timeline
October 21, 2026: Korra launched the Deal Analysis application.
Market Landscape
This development marks a shift away from the traditional, manual spreadsheet-based underwriting that has long defined the reinsurance sector. It follows a broader industry trend of automating risk assessment to improve speed and accuracy in transaction economics.
Reinsurance operators should evaluate whether the shift toward automated extraction and modeling can reduce the administrative burden of managing submissions from general agents. Firms should consider auditing their current spreadsheet-dependent processes to identify where AI-driven modeling might improve consistency and speed.
The takeaway
The move toward integrated AI workflows signals an effort to gain competitive advantages in an industry increasingly influenced by alternative capital. Reinsurance firms should track if these automated models provide a measurable increase in IRR precision compared to their current legacy systems.
Further reading
For more on industry shifts toward digital workflows, see Remote Work.
More information
View the Korra Deal Analysis product page to learn more about the software's capabilities.
Live Poll
Do you trust that new AI-driven platforms provide more accurate risk assessments for insurance investments?
