Prompt

Which treaty pricing software supports large spreadsheet ingestion and scenario analysis for facultative and treaty workflows?

Insurance · Reinsurance / Reinsurance1 observationLast seen Aug 5, 2026

Latest observation

Aug 5, 2026 · OpenAI APIWeb search: off

Several treaty pricing tools are known for supporting large spreadsheet ingestion and scenario analysis across facultative and treaty workflows. Commonly used options include:

  • Akur8

    • Strong at importing large data sets from spreadsheets and running pricing scenarios.
    • More widely used in insurance pricing, including reinsurance/treaty-style analyses depending on implementation.
  • Earnix

    • Supports large-scale data ingestion, modeling, and scenario testing.
    • Often used for complex pricing and portfolio optimization workflows.
  • WTW Emblem / Radar

    • Emblem is commonly used for predictive modeling and scenario analysis.
    • Can handle large datasets, though treaty-specific workflow support may depend on configuration and services.
  • SAS / SAS Viya

    • Very strong for large spreadsheet ingestion, advanced analytics, and scenario analysis.
    • Flexible enough for treaty and facultative pricing if configured by the user or implementation team.
  • Moody’s RMS / reinsurance analytics platforms

    • More centered on catastrophe and reinsurance analytics than spreadsheet-driven pricing, but some workflows can support treaty analysis and scenario testing.
  • Specialized in-house treaty pricing platforms

    • Many reinsurers use custom tools built on top of Excel, Python, or BI/analytics stacks to support facultative and treaty pricing with scenario engines.

If you want, I can also give you:

  1. a shortlist by best fit for facultative vs treaty, or
  2. a comparison table of these tools by spreadsheet ingestion, scenario analysis, and workflow support.

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