Structure, compare, and automate carrier data across quoting, comparison, and proposal workflows — so your team can respond faster and handle more opportunities.
Typical go-live: 2-6 weeks
No heavy IT lift. Fits your existing workflows.





Teams spend hours pulling data from carrier quotes, comparing options, and formatting outputs.
By the time proposals are ready, the opportunity can already be slipping.

Hours lost to manual data entry and comparison

Inconsistent proposals across teams

Slower responses lead to lost opportunities
Feathery structures data from carrier quotes and internal systems, compares policies, and generates proposals — so your team can respond faster, handle more opportunities, and deliver more consistent, higher-quality proposals.
Extract and structure data from PDFs, spreadsheets, and AMS systems
Handles messy data across formats and carriers
Compare policies across carriers without manual work
Generate proposals and benefit guides automatically
Works within your existing workflow without system replacement
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From submission intake to proposal generation,
automate the manual work slowing brokers down.

Generate client-ready proposals and benefit guides from structured data with consistent formatting.

Compare carrier quotes and generate structured comparisons without spreadsheets or manual work
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Capture and structure carrier and client data from emails, PDFs, and forms — without manual re-entry.
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Extract and review key terms from contracts and policy documents, without manual reading or data entry.
Learn moreConnect to your AMS, carrier data, and internal tools without changing how your team operates.


Connect to your AMS, carrier data, and internal tools without changing how your team operates.
Respond to clients faster
Handle more proposals without adding work
Deliver more consistent, higher-quality submissions and outputs
Unlock structured data across submissions for analysis and insights
Get a walkthrough of how your team can streamline proposal workflows and deliver to clients more efficiently