Our Products

Production-ready underwriting systems built on The Underwriter's Decision Stack.

Built on The Underwriter's Decision Stack

Intelligence at every layer that matters

COPEscore AI covers the three critical layers of the commercial underwriting decision — before you structure a slip or set a price.

L1Data
L2Signal
L3Coverage & T&C
L4Pricing
L5Judgment
L6Reinsurance
L7Decision
L8Learning
1
Layer 1 · Data

Evidence extraction & geocoding

Verbatim extraction Confidence classification Address geocoding Confirmed / Derived / Not Found Source text cited
2
Layer 2 · Signal

COPE scoring & quality assessment

COPE completeness score Submission quality score Consistency flags Exposure signals Lloyd's MRC & ISO standards
5
Layer 5 · Judgment

Underwriting notes & risk assessment

Hazard assessment Protection credit analysis Exposure assessment Broker questions Lloyd's Query format

Layers 3 & 4 — Coverage structuring and pricing follow. COPEscore AI hands you a complete risk picture before you structure a single term.

Here is what you get

Every check. Seven outputs.

One submission in. A complete first-pass underwriting assessment out — structured, evidence-based, and ready to act on.

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L5 · Judgment

Underwriting Notes

A complete risk narrative — hazard assessment, protection credit, and exposure analysis — mapped to your confirmed evidence and labelled by Decision Stack layer.

📍
L1 · Data

Location Map & Street View

Geocoded coordinates on a clean professional map. One click to Google Street View for site-level visual inspection — without leaving the platform.

⚠️
L2 · Signal

Consistency Alert

Contradictions and ambiguities flagged with specific reasoning — floor area discrepancies, sprinkler coverage conflicts, construction classification mismatches.

L5 · Judgment

Broker Questions

Every gap generates a specific, underwriting-quality question — prioritised HIGH / LOW, exportable as email or Lloyd's Query format. Copy and send.

📊
L2 · Signal

Quality Analysis

Five quality dimensions scored independently: Precision, Currency, Consistency, Source Reliability, Critical Fields — with the reasoning behind every score.

🔴
L2 · Signal

Missing Fields

Every absent field classified as Must Have, Should Have, or Nice to Have — with the specific underwriting consequence of each gap stated.

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L1 · Data

COPE Data

All extracted fields with verbatim source text, confidence level, and Confirmed / Derived / Not Found status. Every value traceable to your document.


In Build

CoverageAI

"Your first coverage counsel on every policy."

Where COPEscore AI answers "is this submission complete enough to underwrite?", CoverageAI answers a different but adjacent question: "does this policy wording actually cover what it should, and what are the hidden landmines?"

CoverageAI reads policy wordings, MRC slips, and endorsements the way a senior underwriter or coverage counsel would — surfacing sensitive extensions, ambiguous clauses, missing sub-limits, CBI trigger adequacy, and the consistency between what was submitted and what was actually written into the policy.

Built for underwriters (Lloyd's, company market, MGAs), coverage counsel, claims handlers reviewing disputed wording, brokers checking their placements, and pricing actuaries stress-testing T&C assumptions. Complementary to COPEscore AI — together they cover the two biggest sources of underwriting error: incomplete information and inadequate policy language.

L3 · Coverage L2 · Signal L4 · Pricing
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