Know why you win.
Know why you lose.
AI Portfolio Submission Analytics reads every data point across your entire book of submissions — and reveals the trends driving your quote and bind rates.
First report in days, not quarters
Free proof of concept on your own data
Trusted by leading insurance carriers, MGAs, and specialty providers
You know your bind ratio.
You can't explain it.
To rate a risk, your team reads a handful of fields and moves on. The rest of every submission — the part that explains why you win or lose — goes unread.
Most AI finds a needle. Ours reads the whole haystack.
Traditional submission AI hunts for a fixed list of fields. Feathery reads every data point in every submission, then finds the patterns across your entire book.
From your submissions to your answers in five steps.
Start with "why are we losing?" — then go anywhere.
Segment trends
Which industries and geographies bind faster — and which quietly don't.
Emerging Risks
New submission types your guidelines were never written to handle.
Hidden correlations
The field combinations that predict a bind — before you quote.
Ask Robin
Natural-language answers, with the data right behind them.
Your data, exported
Raw analyzed data, delivered straight to your warehouse.
Enriched by 150+ integrations.
Your analysis isn't limited to what the broker sent. Connect AMS platforms, general data like LexisNexis, and line-of-business sources like CyberCube and SecurityScorecard.
The question every underwriting leader is really asking.
Without AI Submission Analytics
You guess why deals don't bind
Insights take weeks of analyst time
Most submission data sits unused
Guidelines drift out of step with the market
With AI Submission Analytics
Know exactly which traits drive your bind rate
A full report in days
Every data point analyzed — not just rating fields
Spot emerging risks before they cost you
Ask Robin, then export to your warehouse
Stop guessing why you're losing.
Get a report on your own submissions in days — and a free proof of concept to prove it.
