— SOLUTION · S/06 · FIN

Financial demand, observed in the open.

Map household, SMB and enterprise financial demand in real time. Detect emerging product needs, friction with incumbents, and pricing tolerance — before they show up in a quarterly survey.

retail banks fintech PE / hedge funds
— SOLUTION IN ACTION
S/FIN

What it actually looks like.

Household demand · velocity · 90d
mortgage hack SMB FX friction baseline
verilian.console
ontology / financial
briefs / new
● live

Demand cluster · "Mortgage workarounds · 2026 cohort" EMERGENT · SP 0.89

3,612+118%
Households / 7d
0.89
Signal score
$340k±$80k
Implied avg. loan
9+3
Workaround patterns
Cohort breakdown
primary adjacent
— PAINS WE SOLVE
01 / 03

What teams in financial actually struggle with.

P/01

Quarterly research can't price a quarterly market

By the time a survey ships, the rate environment, narrative, and behavior have already moved.

P/02

Friction with incumbents is the alpha

Where customers actually complain about their bank is where the next wedge sits.

P/03

Pricing tolerance is invisible in NPS

How much customers will actually pay — and when they'll switch — lives in conversation, not surveys.

— USE CASES
02 / 03

How Verilian deploys here.

U/01

Household Demand Index

A live read on what consumers are reaching for — products, providers, pricing — across cohorts.

U/02

SMB Friction Map

Where small businesses break with their stack — banking, payments, invoicing, FX, credit.

U/03

Enterprise Pricing Signal

Detect pricing tolerance and switching intent in enterprise buyers before procurement formalizes it.

— OTHER SOLUTIONS
03 / 03

One engine. Many worlds.

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