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2026

Sept 16 to 18 · Nashville, TN

iCUE agentic AI is live for credit unions

Elevate your lending with inclusive AI

Same heart. More smart.

The integrated AI decisioning platform financial institutions trust to grow loans, catch more fraud, price every deal smarter, and ace every NCUA audit. One platform. Every lending decision.

Independent benchmark study

9X

Credit unions on Scienaptic AI grew 9X compared to industry median and 30% more than other AI.

Download the study

150+

Lenders running on Scienaptic

$160B+

Loans decisioned on the platform

500M+

Lending records training the models

100%

Clients aced their NCUA audit

One decision string covers

Pre-qual • Onboarding & KYC • Fraud & identity • Underwriting • Risk-based pricing • Perpetual offers • Cross-sell • Portfolio early warning

One decision string covers

Pre-qual

|

Onboarding & KYC

|

Fraud & identity

|

Underwriting

|

Risk-based pricing

|

Perpetual offers

|

Cross-sell

|

Portfolio early warning

The integrated decisioning platform

A platform,
not a scorecard.

Most AI lending tools answer one question: how risky is this applicant. Scienaptic AI answers the whole question your lending team has to answer in real time: approve, decline, amount, term, price, counter-offer. In one API call. With fraud, identity, and fair-lending checks already done.

A score tells you who is risky. A decision tells you what to do. Members get an answer in seconds; your team gets an answer with the work shown.

Input

Application from

your LOS

JSON · 1 call

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Scienaptic decisioning core - Integrated

Identity

Fraud

Bureau + alt data

Underwriting

Pricing

Fair-lending

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agentic AI orchestration

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Decision string - Returned in < 1s

Approve/Decline

Amount/Term

Price

Counter-offer

Adverse action

Audit trail

01 / Fraud & identity

FraudShield catches what traditional systems miss.

Synthetic identities, bot attacks, bust-out, credit washing, first-party fraud. All flagged inside the same decisioning call, before the application ever touches underwriting.

93% of fraud caught that legacy systems let through

02 / Underwriting

Decisions trained on 500M lending records.

Scorecards built on each client's own book, augmented by 3,000+ signals across bureau, banking, and alternative data. 12x more risk differentiation than bureau scores alone.

25%+ more approvals at the same risk threshold

03 / LendSmart pricing

Deal-level vehicle pricing, in real time.

The pricing engine credit unions use to win at the dealership. Member-level, deal-level, risk-based pricing for direct and indirect auto, calibrated to each portfolio's yield targets.

4Front CU: $21M incremental vehicle loans

04 / Perpetual offers

Right offer, right member, right moment.

Lifecycle pre-qualified offers that move with the member: card line increases, refinance, HELOC, auto. Continuously refreshed against current bureau and behavior data.

1.7M underserved applicants approved monthly

05 / Early warning

See delinquency before it shows up.

Portfolio monitoring that flags risk shifts at the member, segment, and book level. Models retrain on your performance data so the warnings stay calibrated to your reality.

Continuous retraining on portfolio performance

06 / Compliance engine

Exam-ready by design.

Disparate impact analysis on every model attribute. Member-friendly adverse action reasons. Full robustness and limitations documentation. The work an examiner asks for, ready on day one.

100% NCUA audit pass rate among clients

Application from your LOS

JSON · 1 call

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Scienaptic decisioning core - Integrated

Identity

Fraud

Bureau + alt data

Underwriting

Pricing

Fair-lending

agentic AI orchestration

dot-arrow.png

Decision string - Returned in < 1s

Approve/Decline

Amount/Term

Price

Counter-offer

Adverse action

Audit trail

Recognition

Independent recognition from
the institutions
that count.

Deloitte Technology Fast 500

Two consecutive years on the list of the 500 fastest-growing technology companies in North America.

CB
Insights
AI 100

Selected by CB Insights as one of the 100 most promising AI companies, drawn from a pool of more than 9,000 firms analyzed.

Inc. 5000 Fastest-Growing

Named to the Inc. 5000 list of America's fastest-growing private companies on the strength of multi-year revenue growth.

Trusted by U.S. lenders

1

50

+

credit unions and lenders running on Scienaptic AI.

FourLeaf Federal Credit Union

UNITED NATIONS

MidFlorida Credit Union

Genisys Credit Union

SECU MD (MARYLAND)

Tower FCU

CoVantage Credit Union 

Arkansas Federal Credit Union 

Credit Union of Colorado

Altura Credit Union

Andrews FCU

L&N FCU

Communication Credit Union

ELGA Credit Union

Patriot Federal Credit Union 

Rize Credit Union

Harvard Credit Union

Sidney Federal Credit Union

Guardian Credit Union

Wildfire Credit Union

4Front Credit Union 

Financial Center First Credit Union

University of Hawaii Federal Credit Union

Greenwood Credit Union

NuMark Credit Union

Communitywide FCU

PFCU Credit Union

Team One Credit Union

University of Illinois Community Credit Union

CU of Georgia

Meridian Trust FCU

CPM Federal Credit Union

Alliance Catholic Federal Credit Union 

Resource One Credit Union

Partner Colorado Credit Union

+ 100s more

Introducing iCUE

From
automation to
autonomy.

iCUE is the agentic AI layer inside Scienaptic. It watches the portfolio, understands context, and acts across pre-qual, onboarding, fraud, underwriting, perpetual offers, and early warning. Your team spends its time where it matters: with members.

09:14:03

Member 4738 application received via Origence. Fraud signals clean.

Watch

09:14:05

Bureau pull complete. 7 alt-data signals returned. Risk band: tier 2.

Decide

09:14:06

Approved $24,500 / 60 mo / 7.49%. Counter-offer auto-prepared.

Act

09:14:18

Portfolio shift detected in indirect auto, Q3 vintage. Delinquency +12 bps over 30d.

Watch

09:14:19

Recalibration recommended for 2 segments. Ticket opened with credit team.

Act

With Scienaptic, we are pushing the envelope in terms of risk innovation, and approving $40M incremental loans while reducing losses by 47%

Chad Wilcox

Senior VP of Lending

Credit Union of Colorado

In their words

What lending
leaders say.

Lending leaders across very different credit unions. One pattern.


Before Scienaptic, we processed 35% of applications within an hour. Now that number sits at 62%.”

SVP Lending

Altura Credit Union


Our automated decision rate has jumped from 28% to 75% since adopting Scienaptic.”

Chief Lending Officer

On Tap Credit Union


We've seen a 30% increase in applications from Native Americans, driven by higher approval rates. The fear of rejection is no longer a barrier.”

CEO

Northern Hills Federal Credit Union


Scienaptic was hands down the most seamless, frictionless deployment I've seen from any vendor.”

CEO

ELGA Credit Union


Overriding Scienaptic decisions cost us. Once we trusted the model, the loss line moved.”

SVP Lending

Credit Union of Colorado


Scienaptic gave us the lift we needed without forcing our team to rebuild a single workflow. Approvals went up; the credit policy held.”

CEO

FourLeaf Federal Credit Union

LendSmart Auto

Win every deal, on its own price.

LendSmart is the deal-level pricing engine inside Scienaptic, built for the way auto really gets booked: at the dealership, in seconds, against the bank across the street. Every deal priced to its own member, its own collateral, its own risk.

Illustrative. Pricing reflects each credit union's risk and yield calibration.

Live deal stream

Bureau price

LendSmart

2024 Toyota RAV4

Tier 2 · 60mo · 22% LTV

8.99%

7.49%

2022 Honda Civic

Tier 1 · 72mo · 18% LTV

6.49%

5.79%

2025 Ford F-150

Tier 3 · 84mo · 35% LTV

11.49%

9.95%

2023 Subaru Outback

Tier 2 · 66mo · 20% LTV

8.25%

7.10%

Compliance, built in

Move the needle on fair, equitable lending.

Diverse data, modern algorithms, and continuous fair-lending monitoring. The work the examiner asks for, ready on the morning of the audit.

1

00%

of Scienaptic clients have aced NCUA audits.

Disparate impact tested by design

Every model attribute goes through DI analysis before it touches a decision. Bias is caught at training, not after a complaint.

Member-grade adverse action reasons

Reasons that a member can understand and a regulator can defend. Generated automatically with every decline.

Full model documentation

Logic, robustness, limitations. The package an examiner asks for, generated and version-tracked with every model release.

Inclusion outcomes you can show

45% more approvals for protected classes. 1.7M underserved applicants approved every month, scored where traditional bureau models say no.

Knowledge hub

Research the
credit-union industry
actually reads.

Data-led papers from the Scienaptic research team. Free for credit unions.


Each download is tracked so we can share the next paper that fits your portfolio.

Featured research report

The 9x

Lending Gap

Twelve months of NCUA call reports across 4,374 credit unions. Where the growth gap comes from. Why it compounds. What it costs the institutions sitting it out.

Cohort math your board can read in one sitting. Includes the four-portfolio cost-of-standing-still model and the methodology appendix.

Download the PDF

Buyer's guide

What to look for when buying an AI credit decisioning solution

A vendor-neutral, 15-question diligence checklist for credit unions evaluating AI lending platforms.

Download the PDF

Annual outlook

State of credit union lending, 2026

Loan growth, delinquency, NIM and capital trends. Quartile benchmarks and the strategies separating the top performers from the median.

Download the PDF

Briefing

Synthetic ID, bots, and bust-out. The 2026 fraud playbook for credit unions.

Four attack patterns to wire alerting for this year. How FraudShield catches 93% of fraud that traditional systems miss.

Download the PDF

Compliance

Adverse action and fair lending in the AI era

Regulator-grade AAR, DI analysis, and a model-documentation template aligned to NCUA, CFPB, and ECOA expectations.

Download the PDF

Get the Scienaptic research drop. One brief email a month. Industry data, no fluff. Unsubscribe in one click.

Case studies

Three credit unions.
Three balance sheets.
One platform.

Real outcomes from real deployments, with the numbers your CFO will want to verify.

FourLeaf Federal Credit Union

Approving more, automatically, with no rise in risk
25%+

More approvals across consumer lending

70-90%

Auto-approval rate (up from baseline)

$400M+

Incremental loans funded

Credit Union of Colorado

Higher approvals, sharper credit, lower losses
$40M+

Incremental loans approved

66%

Auto-approval rate

47%

Reduction in consumer loan losses

CoVantage Credit Union

Lifting growth and automation in step
+22%

More approvals across the book

+48%

More decisions made automatically

$47M+

Incremental loans funded

Latest

News and insights.

View all news

20 July 2026

Driving Intelligent Lending: Communication Federal Credit Union Goes Live with Scienaptic AI

Unlocking $134.5M in incremental Vehicle loan originations and up to 20% reduction in losses across Consumer Loan portfolios

Read more

13 July 2026

Oregonians Credit Union Selects Scienaptic AI to Drive Inclusive Lending and Enhance Member Experience

Read more

6 July 2026

Pioneer Valley Credit Union Selects Scienaptic AI to Modernize Lending for Its Next Century of Service

Read more

Already integrated

We've already integrated with your LOS.

Scienaptic has partnered with every major loan origination system serving U.S. credit unions. Your core stays untouched. Your team keeps shipping. Typical deployment runs six to ten weeks.

MeridianLink

Origence

Temenos

Sync1

Symitar

Fiserv

Corelation

CRIF Select

+ many more

See what your portfolio looks like on Scienaptic.

Thirty minutes. We will model your book against the Scienaptic AI cohort using your own NCUA call-report data, and show you where the approvals you are missing are hiding.

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