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Use cases

Banks &
Credit Unions

Financial institutions launching or
scaling SMB lending programs
need credit decisioning that
outperforms generic bureau
scores without the cost and time
of building a proprietary model.

SaaS Platforms &
Fintechs

Embedded lending providers
need API-speed decisioning
that integrates cleanly with
their application workflow and
returns structured, compliant
decisions to power the
borrower experience.

Non-Bank
Lenders

Specialty and high-volume
lenders need decisioning
that handles diverse
borrower profiles —
thin-file businesses,
non-traditional revenue
models, and multi-product
underwriting — at scale.

ISO Brokers &
Aggregators

Channel partners need
consistent, fast
decisioning across their
referral network to
maintain borrower trust
and conversion rates.

Credit decisioning is the highest-leverage
point in your lending operation.

Legacy Scorecards Were
Not Built for SMB

Traditional credit models were
designed for consumer lending or
large commercial relationships. They
underperform on SMB borrowers —
thin-file businesses, emerging
sectors, and non-traditional revenue
models that do not fit neatly into
legacy scoring frameworks.

The result is either over-declining
good borrowers or under-pricing risk
on bad ones.

Building a Proprietary Model
Requires Data You May Not
Have

A competitive credit model needs
years of origination and performance
data, specialized data science talent,
and ongoing model validation
infrastructure.

Most institutions lack one or more of
these components, leaving them
dependent on generic bureau scores
or manual underwriting.

Slow Decisioning Kills
Conversion

SMB borrowers expect fast answers.
When decisioning takes days instead
of minutes, applicants drop off, go to
competitors, or abandon the process
entirely. Every hour of delay between
application and decision is measurable
conversion loss.

Decisioning solves all three: a
production-ready Gen 5 credit model
API that returns approval decisions, risk
tiers, and rate parameters in under 2
minutes — trained on data most
institutions do not have access to.

FAQ

Visit Full Ignite FAQ page

See what the Gen 5
model approves that
your current
scorecard declines.

Schedule a model evaluation to compare
Quantum Decisioning against your current
underwriting approach using anonymized
application data from your own portfolio.

Request a Model Evaluation

Download the Decisioning Overview

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Set approval thresholds, risk
tier definitions, rate ranges, and
product-level eligibility rules.

The model applies your
business logic while leveraging
Quantum’s credit intelligence
and $7B+ data foundation.

Configure Your
Parameters

How it Works

Integrate Quantum Decisioning
into your existing origination
workflow via REST API.

Send application data, receive
structured credit decisions.
Sandbox access in 48 hours for
technical evaluation.

Connect via API

Start
Decisioning

Go live with automated credit
decisioning. Applications flow
through the model in real time.

Clean approvals proceed to funding.
Borderline cases route to manual
review with model-generated
context. Full compliance
documentation on every decision.

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FAQ

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See what the Gen
5 model approves
that your current
scorecard
declines.

Request a Model Evaluation

Download the Decisioning Overview

Schedule a model
evaluation to compare
Quantum Decisioning
against your current
underwriting approach
using anonymized
application data from your
own portfolio.

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Use Cases

Banks &
Credit Unions

Financial institutions launching or
scaling SMB lending programs
need credit decisioning that
outperforms generic bureau
scores without the cost and time
of building a proprietary model.

Embedded lending providers
need API-speed decisioning that
integrates cleanly with their
application workflow and returns
structured, compliant decisions
to power the borrower
experience.

SaaS Platforms &
Fintechs

Non-Bank
Lenders

Specialty and high-volume
lenders need decisioning that
handles diverse borrower
profiles — thin-file businesses,
non-traditional revenue
models, and multi-product
underwriting — at scale.

ISO Brokers &
Aggregators

Channel partners need
consistent, fast decisioning
across their referral network to
maintain borrower trust and
conversion rates.

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What Quantum
Decisioning
Does

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Smarter credit decisions.

Faster answers. Better outcomes.

Quantum Decisioning is a Gen 5 credit model API; built on $7B+ in SMB origination data
and 15 years of lending performance history. Plug it into your existing workflow and start
making better credit decisions in weeks, not months.

Request a Model Evaluation

Download the Decisioning Overview

Built on $7B+

Originations

15 years

of Performance Data

Gen 5

Credit Model

2-Min

Decisioning

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Connect via REST API and web-hooks with your UX, your brand, Quantum's credit engine, compliance, and servicing running behind it.

From sandbox access to first funded loan in as few as 60 days — with QLS developer support throughout the integration.

How It Works

Connect via API

Integrate Quantum Decisioning
into your existing origination
workflow via REST API.

Send application data, receive
structured credit decisions.
Sandbox access in 48 hours for
technical evaluation.

Configure Your
Parameters

Set approval thresholds, risk
tier definitions, rate ranges, and
product-level eligibility rules.

The model applies your
business logic while leveraging
Quantum’s credit intelligence
and $7B+ data foundation.

Start
Decisioning

Go live with automated credit
decisioning. Applications flow
through the model in real time.

Clean approvals proceed to funding.
Borderline cases route to manual
review with model-generated
context. Full compliance
documentation on every decision.

Why Quantum Decisioning

$7B+ data
advantage

Your decisions are
powered by origination
and performance data that
took 15 years and $7B+ in
loan volume to build.

No other standalone
decisioning API offers this
depth of SMB-specific
training data.

Speed that
converts

2-minute decisioning
means borrowers get
answers fast.
Faster answers mean
higher conversion rates,
better borrower
experience, and
competitive positioning
against slower alternatives.

Fair lending
from the
ground up

Compliance is not a
module you add later.
Fair lending analysis,
adverse action notices, and
model validation are native
outputs of every decision
— examiner-ready from day
one.

Works with any
origination
platform — or
standalone

Deploy as part of Quantum
Core, Flex, or Ignite — or
integrate as a standalone
decisioning API with your
own origination
infrastructure.
REST API works with any
platform.

Continuous
model

The Gen 5 model learns
from portfolio performance
data.

Quarterly calibration
reviews with Quantum’s
data science team keep
the model optimized for
your specific borrower
population and market
conditions.

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