Owned architecture. Manufactured Intelligence. Patent pending.

Three purpose-built agentic AI engines, BCE, CRE, and CFIE, running against one shared 1,536-dimension meaning space.

Platform Architectureone shared meaning space · resolved by proximity, not rules
OPERATIONS products · processes · assets EXPOSURES derived hazards & risk classes COVERAGES scored necessity anchors CARRIERS appetite zones NAICS 722511 Full-Service Restaurants "casual dining establishment with open flame cooking" "full-service eatery with gas-fired kitchen equipment" same business · cosine ≈ 0.98 Open-flame ignition risk Grease-trap fire Slip & fall (wet floors) Food contamination liability Liquor liability General Liability Product Liability Liquor Liability Workers' Comp Commercial Property Hospitality GL Program in appetite Restaurant BOP Program in appetite Food Service Program appetite boundary cosine_similarity(embed(x), embed(y)) · linq-embed · 1,536 dimensions
what Growth Lens uses to find a business, Risk Identity uses to explain it · same space, same answer · patent pending
01 · The Engines

Fine-tuned models. Not generic LLMs.

Purpose-built architectures trained specifically for commercial insurance, each filed for patent protection.

BCE engine 01

Business Classification Engine

Resolves what a business actually does, its operational profile, from its real footprint rather than a self-reported code. The first domain in the chain, and the one every downstream engine depends on.

"Wood-fired oven, dine-in and catering."
CRE engine 02

Coverage & Risk Engine

Maps a resolved operational profile to the exposures it creates and the coverage those exposures require, the way an underwriter reads a file.

"Solid-fuel cooking. Fire & grease exposure."
CFIE engine 03

Carrier Fit Intelligence Engine

Scores every resolved business against the program guideline as written: inclusions, exclusions, thresholds, and edge cases.

"In appetite. Fit 94."
linq-embed · one shared meaning space● resolved
"casual dining establishment with open flame cooking"
"full-service eatery with gas-fired kitchen equipment"
Same business · cosine ≈ 0.98 · two different descriptions, one resolved point in the same 1,536-dimension space every engine shares · patent pending
02 · The Meaning Space

Language in. Insurance meaning out.

A phrase from a website, a submission, or a guideline resolves to the same insurance concepts, so all three engines reason about the same business the same way.

Meaning Resolutionphrase → insurance concepts
Phrase, as writtenResolves toInsurance meaningDomain
"wood-fired oven" cos 0.97 solid-fuel cooking · fire & grease exposure · higher property rate context exposure
"we cater weddings" cos 0.95 off-premises operations · extended GL exposure · liquor liability likely coverage
"open till 2am Fridays" cos 0.93 late-night operations · common program exclusion · appetite boundary appetite
cosine similarity against learned insurance concepts · 1,536-dimension space · same resolution whether the phrase arrives from a website, a submission, or a guideline · patent pending
03 · Owned, Not Rented

A rented feed gives everyone the same answer.

Every buyer downstream of the same vendor selects the same risks. Linqura's engines derive their own intelligence, and what your program teaches them stays yours.

Owned vs. Rentedvendor feed · Linqura engine
Traditional vendor feedLinqura's engines
Source of intelligence Licensed from a third party Derived in-house, on models Linqura trained and owns
What competitors see The same feed, the same answer Output resolved against your program, not a shared feed
How it improves On the vendor's release schedule Tuned by the business written through your program
Explainability Often a black-box score Every output traces to its sources, with a confidence score
Data isolation Your data trains a shared model Your guidelines and your book tune your results; they never train anyone else's
04 · The Data Foundation

The market, indexed and kept current.

Data Foundationsources → index
What the engines read
operational footprint web-scale
regulatory records OSHA · FMCSA · WC
firmographic data revenue · employees
program guidelines 3,000+ programs
reconciled into
The index
35M+
US businesses
40+
source types
90d
refresh cycle
96%
confidence, scored per field
every record dated and confidence-scored · refreshed every 90d
05 · Security & Deployment

Built to sit inside your workflow.

DeploymentAPI · UI
API integration

Full integration into your workbench or policy admin system. One call returns the profile, the score, and the evidence behind both.

Browser UI

Look a business up today. No IT project required to start.

Your data

Your guidelines and your book stay yours. They tune your results; they never train anyone else's.

Traceability

Every answer carries its sources and its confidence. Nothing arrives as a number you cannot interrogate.

APIUI
GET /v1/profile → 200 · one call, full profile

See the engine run on your market.

A demonstration on your actual program, against your actual footprint.

Request a Demo
linq-embed · one shared meaning space · patent pending