Early Lifecycle Engagement Infrastructure

Your next customer already trusts you.
You just can't see them yet.

Including people in your members’ households who aren’t members today.

College Cash gives financial institutions the infrastructure to identify, engage, and convert future customers years before they need a financial product. Not from transactional data. From behavioral intelligence.

Request Pilot Details → See How It Works

Patent Pending · U.S. Provisional Application No. 64/087,878

Signal Engine · Live Readiness View

100

Household · Martinez Family

Mortgage HELOC

Student · J. Thompson

Student Checking

Household · Williams Family

Auto Loan

Illustrative data only

The Problem

Financial institutions lose the next-generation relationship by default.

By the time a student graduates and needs a car loan, a credit card, or a mortgage, they already have a banking relationship somewhere else. Traditional systems only see customers after a financial decision has already been made. Transactional data arrives too late. The institution that wins the relationship is the one that showed up first. Right now, no institution has the infrastructure to do that systematically.

The Signal Engine

Behavioral intelligence that sees what transactional data cannot.

A patent-pending 8-stage methodology for behavioral signal processing and product intent prediction. The Signal Engine transforms non-transactional engagement signals into predictive intelligence for institutions — output as product-readiness signals, ranked opportunities, emerging financial intent, and recommended institutional actions.

The Signal Engine is deterministic — a transparent, rules-based methodology, not a machine learning model. Every score is explainable and auditable. And it isn’t limited to student behavior: a parent’s contribution, a grandparent’s login, or a supporter’s referral click each generate signals in their own right.

STAGE 01

Behavioral Signal Collection

Passive capture of engagement events (module completions, coaching interactions, savings milestones, family contributions, campaign participation) from multiple users in distinct roles within a shared ecosystem.

STAGE 02

Product Intent Mapping

Configurable many-to-many mapping of behavioral signals to product and service intent categories. Each signal can map to multiple products, and each product can draw from multiple signal types.

STAGE 03

Weighted Signal Assignment

Numerical weight values reflecting the predictive strength of each signal type. Not all behaviors carry equal significance. The system accounts for that.

STAGE 04

Temporal Relevance Processing

Time-decay calculations ensure recent signals carry more weight than older signals. Behavioral relevance is not static. The system reflects that.

STAGE 05 · CORE DIFFERENTIATOR

Multi-Stakeholder Household Aggregation

Signals are aggregated across all linked users within a household network: existing members, student children, supporters, and community contributors. This produces composite household-level intent profiles invisible to any individual-only or transactional scoring system.

STAGE 06

Readiness Assessment and Scoring

0-100 readiness scores per product category for each household. Ranked opportunity assessments so institutions know where to focus.

STAGE 07

Institutional Action Recommendations

Product recommendations, outreach timing, and channel guidance delivered to institutional staff. Capped at two products per household at any time to prevent overreach.

STAGE 08

Closed-Loop Outcome Tracking

Outcome data (opened, declined, deferred, no response) feeds back to refine weights, mappings, and decay parameters. Static rules evolve into adaptive intelligence over time.

The Signal Engine is platform agnostic and industry configurable. It is licensable independently. Financial services is the first vertical. It will not be the last.

Patent Pending · U.S. Provisional Application No. 64/087,878

How It Works

From one member to an entire household network. Automatically.

Institution Invites Members

The institution invites its existing members to the platform. No IT integration. No API connections. No core system touchpoints. Live in 30 days.

Members Bring Households

Members create accounts for their high school-age children. Students invite parents, relatives, friends, and other supporters through personalized referral links — and those supporters begin generating signals immediately, even with no existing relationship to the institution.

Every User Is Attributed

Every person who joins is automatically attributed to the originating institution at signup — including supporters who aren’t members today. Household participation can expand the institution’s reach without requiring a separate paid acquisition campaign for every participant.

Signal Engine Processes Everything

Behavioral signals from the entire household network produce 0-100 readiness scores per product category. The institution sees what transactional data never could.

Including supporters who aren’t members today.

Market Position

Built to complement your existing fintech stack.

Already have youth banking, financial education, financial wellness, or engagement tools? Keep them. College Cash isn’t a replacement for any of it — it’s a behavioral intelligence layer that sits alongside what you’ve already deployed, turning engagement your institution is already generating into product-readiness intelligence your team can act on.

Existing Programs

Youth Banking · Financial Education · Financial Wellness

↓

College Cash Engagement Ecosystem

Students · Parents · Family · Supporters

↓

Signal Engine

Behavior · Time Decay · Household Aggregation · Product Readiness

↓

Institutional Intelligence

Readiness Signals · Opportunity Rankings · Recommended Actions

What can you see today about what those future members and their households are likely to need next?

The Engagement Layer

College affordability is the entry point. The engine underneath is what matters.

Parent / Supporter Dashboard

Student Dashboard

The engagement layer is built around college affordability and debt reduction. It resonates emotionally with every family, across every demographic and life stage. Students complete proprietary financial literacy modules, track savings progress, use AI-powered budget coaching, and engage with community campaigns. Supporters contribute funds and progress through their own curriculum track. Every interaction generates behavioral signals the Signal Engine needs.

The wrapper can change. The engine stays the same. College affordability is the first context. The architecture supports any engagement wrapper.

Scholarships, StackU, financial literacy, coaching, gifting, rewards, and user-generated campaigns are the engagement mechanisms. Each one generates behavioral signals. None of them is, on its own, the core product.

The institution doesn’t just see activity.
It sees intent.

For Institutions

Built for the way financial institutions actually operate.

Zero IT Integration

No API connections. No core banking system touchpoints. No security review dependencies. No internal engineering resources required. Configure branding, set pilot targets, designate the account, upload the invite list. Live in 30 days.

Co-Brand Architecture

Every user-facing screen carries the deploying institution's name, logo, and primary brand color. The institution receives full visible credit for every member interaction, every contribution, every literacy completion, and every savings milestone.

Designated Account Structure

All member funds stay on the institution's balance sheet. The institution designates an internal account. College Cash routes every dollar to that account automatically. The AUM growth belongs to the institution. College Cash earns a licensing fee and nothing else.

CRA and CDFI Compliance

Compliance reports generated automatically from real-time platform activity. One-button download. Examiner-ready documentation with no manual compilation, no staff time, and no external reporting support. Replaces the quarterly spreadsheet process most institutions still use.

FI Admin Dashboard

Real-time enrollment data. Full activation funnel tracking from invited through registered, first login, first module completion, and first supporter linked. Pilot health indicators with suggested corrective actions. Member management with invite tools, shareable links, and QR codes.

Managed Campaign Execution

When the institution wants to run an engagement campaign, College Cash handles all creative development, execution, and management. The institution communicates the goal. College Cash delivers the campaign. Bankers stay focused on banking.

The Math

What the model is designed to change.

These are not validated pilot results. They are the outcomes the Signal Engine’s architecture is designed to produce as household networks and behavioral data accumulate.

Earlier Relationship Formation

Traditional acquisition only reaches prospects after a financial decision is already underway. The model is designed to put the institution in front of future members years earlier, while the behavioral relationship is still forming.

Household Expansion

One invitation to an existing member can bring an entire household network onto the platform. Household participation can expand the institution’s reach without requiring a separate paid acquisition campaign for every participant.

Better-Timed Outreach

Readiness scores and recommended actions are designed to tell the institution when a household is worth approaching, and with which product, instead of relying on generic, calendar-driven outreach.

More Efficient Acquisition Potential

By combining warm, referral-driven growth with signals that indicate real intent, the model is designed to reduce the amount of undirected marketing spend needed to reach and convert each new member.

Platform Status

Built, live, and operationally ready.

College Cash is not a prototype, not a mockup, and not a waitlist. The platform has been developed, tested, and seeded with structured demo data across all user roles and flows. Institutional partners can see a fully working, data-populated platform before signing anything.

Every feature functional

Five user roles, all dashboards populated, all workflows complete

30 days to live

From signed agreement to members receiving invitations

Every report, examiner-ready

CRA and CDFI compliance documentation generated automatically

Pilot capacity is limited by market. Early partners receive geographic exclusivity.

For Brands

Reach families where they are already engaged.

College Cash puts your brand inside an ecosystem where families are actively focused on their financial future. Not scrolling past ads. Not ignoring mailers. Actively engaged, earning rewards, and building toward goals. That context changes everything about how your brand is received.

Curriculum Sponsorship

Sponsor a financial literacy module within the College Cash curriculum. Your brand is woven into the educational experience that students and families complete together. Not as an ad. As the entity that made the learning possible.

Multi-Generational Reach

The College Cash user base spans students, parents, grandparents, and community supporters, all active on one platform. These are financially intentional households making decisions together. You reach the entire decision-making unit, not just one person.

Institutional Trust Halo

Brand campaigns run alongside the deploying financial institution's branding. Your brand benefits from the trust and credibility the institution has already built with its members. That halo effect is something paid media cannot replicate.

Measurable Outcomes

Every campaign, sponsorship, and partnership produces documented engagement data. Submissions, completions, participation rates, and reach metrics. No vanity impressions. Real participation from real families in a real ecosystem.

Explore Brand Partnerships →

Leadership

Experienced founders with institutional, financial, and operational depth.

Demetrius Curry

CEO & Founder

Inventor of the Signal Engine methodology. Background spanning Wall Street, finance, marketing, and startup advisory. Built College Cash from consumer concept to enterprise-licensed infrastructure. Focused on institutional partnership strategy, enterprise sales, and ecosystem development.

LMS

L. Michael Simpson

Co-Founder & Operations

Graduate of The Wharton School. Background in private market investing and financial analysis, with experience in capital formation and strategic development. Former Partner at Windsor Stevens and program manager within the U.S. government. Brings institutional credibility and operational infrastructure experience.

Your next customer already trusts you. You just can't see them yet.