Keystone OSKeystone OS
Built for community banks, CDFIs, MDIs & credit unions
Community Banks
CDFIs
MDIs
Credit Unions
Bank-grade encryption
Human-in-the-loop AI
The Problem

The bottleneck was never credit quality.

Securitization is the engine that recycles credit through the economy. Large banks have it. The 4,500 U.S. community banks, the 142 federally certified Minority Depository Institutions, and the roughly 1,400 CDFIs do not. The result is $1.2 trillion of trapped lending capacity sitting on community bank balance sheets while underserved borrowers are told the bank ran out of room.

Current State
With Keystone OS
Data trapped across 20+ incompatible bank cores
Cross-core data normalized into one canonical schema
Manual reporting on quarterly cycles
Live institutional and pool-level intelligence
Each securitization costs $2M+ in fixed transaction overhead
Per-deal cost compressed below revenue per deal
No platform serves issuers below $10B in assets
Multi-seller pooling across 20+ originators per trust
Investor demand exists; supply infrastructure does not
Supply-side platform for rated community bank ABS
Market Structure

$1.2 trillion of trapped capacity. Zero infrastructure to release it.

The Federal Reserve Bank of New York documented in 2024 that CDFIs originated $67 billion in loans in 2022, yet just 10 CDFIs accounted for 75 percent of all loan sales. Institutional investors require minimum pool sizes of $50–$100 million. The typical CDFI pool is $5 million. Until that mismatch is resolved, the asset class does not exist.

4,287
federally insured credit unions
FDIC / NCUA, Q4 2025
1,426
certified CDFIs
CDFI Fund, FY 2024
142
Minority Depository Institutions
FDIC MDI Program
144.7M
credit union members
NCUA, Q4 2025
By the Numbers

The scale of the opportunity

0+

Community banks across the U.S.

$0B

Estimated CDFI market size

0+

Certified CDFIs nationwide

0+

Staff hours saved per year

Competition

Every competitor was built for the top 50 banks.

The infrastructure that exists today (Cardo AI, Intex, Moody's Analytics) was built for Goldman and JP Morgan, not for the institutions actually serving underserved communities. Keystone OS is the first platform built for the other 6,000. Here is how we outperform on every axis that matters.

Time to compose one deal
Intex (Wall St.)
6–12 months
Manual status quo
18 months
Keystone OS
47 seconds

Log scale. Six AI agents replace an 18-month, human-in-the-loop process.

All-in cost per institution (Year 1)
Manual status quo
$2–4M / deal
Intex
$250K+ impl.
Keystone OS
$30K all-in

Log scale. AI-native architecture removes the fixed transaction overhead that priced out every issuer under $5B.

Take rate on placed volume
Cardo AI
50–150 bps
Keystone OS
35–60 bps

We undercut the incumbent take rate while serving the institutions they don't touch.

Institutions actually served
Legacy infra (Intex, Moody's, Cardo)
Top ~50 banks
Keystone OS
6,002 institutions

Legacy tools serve the top ~50 banks. Keystone's addressable base is 6,002 mission-aligned institutions.

Player
Built for
Why they don't fit
Keystone's wedge
Cardo AI
European mid-size lenders
US compliance gaps, no CDFI/MDI workflow
US-native, mission-aligned data layer
Intex
Wall Street structurers (Goldman, JPM)
$250K+ implementation, 6–12 month rollout
30-day onboarding, $30K all-in Year 1
Moody's Analytics
Rating agencies + asset managers
Risk modeling only, no origination or placement
Full lifecycle, not just risk
Setpoint
Warehouse lending tech
Adjacent layer, doesn't touch community banks
Different segment, potential partner
Versana
Syndicated loan data
Read-only data utility, not a workflow OS
Workflow + AI agents, not just data
Status quo
4,287 community banks doing nothing
18 months and $2–4M per deal
47 seconds, $30K, AI-composed
Capability
Keystone OS
Legacy infra
Built for sub-$5B community institutions
Multi-seller pooling across originators
End-to-end origination → placement
AI-native deal composition
CDFI / MDI compliance & CRA reporting
Cross-core loan-tape normalization
30-day onboarding
Investor placement matching

The one-line difference: every competitor was built for the top 50 banks. Keystone OS is the first platform built for the other 6,000.

The Ecosystem

Keystone OS sits at the convergence of eight layers.

The product surface that ships first is securitization. The platform is designed to extend across every adjacent function the same institutions need.

K
Product

Five surfaces. One operating system.

SURFACE 01, DISCOVERY

National Dashboard

Every community institution in one map. Every loan tape in one schema.

The entry point for issuers, investors, and analysts. The U.S. map renders 6,000+ institutions as nodes, colored by type and sized by total assets. Filters surface peer sets; a live aggregate panel surfaces normalized loan volume, pool composition time, and deals in flight.

Workflow

Issuer filters to a peer set, identifies five candidate co-pool partners, and exports a starter pool definition into the Pool Composer.

Investor implication

No competitor has a national institution graph. The data network effect compounds from day one.

National Dashboard, live Keystone OS product view
LIVE PRODUCT VIEW, KEYSTONE OS v2.4.1
SURFACE 02, DATA

Institution Profile

Every bank, MDI, and CDFI, modeled as a first-class object.

The canonical view of one institution: charter, regulator, assets, capital ratios, CRA rating, and certification status, plus a loan-tape preview mapped into Keystone's canonical schema with a confidence score per field.

Workflow

Analyst reviews schema mapping confidence, approves low-confidence flags raised by the AI, and signs the institution off as deal-ready.

Investor implication

This is the moat. Once an institution is mapped, it stays mapped, every addition multiplies the value of the graph.

Institution Profile, live Keystone OS product view
LIVE PRODUCT VIEW, KEYSTONE OS v2.4.1
SURFACE 03, INTELLIGENCE

AI Intelligence Center

Six agents. One coordinator. End-to-end deal composition.

The operator's console. A horizontal agent rail shows Originate, Underwrite, Pool, Structure, Place, and Reinvest with live status. A natural-language query bar drives a workspace canvas; the right rail streams SHAP-style reasoning traces in real time.

Workflow

Operator requests a $50M auto-loan pool from Southeast CDFI originators with no single-bank concentration above 20%. Agents return a candidate pool in under 60 seconds.

Investor implication

The category nobody else has built: AI-native securitization at the community bank tier.

AI Intelligence Center, live Keystone OS product view
LIVE PRODUCT VIEW, KEYSTONE OS v2.4.1
SURFACE 04, PLACEMENT

Capital Match Engine

Match every tranche to its right investor.

Sits between Structure and Place. Once a tranche stack exists, the engine ranks every CRA-motivated bank, pension, insurance, and impact fund against tranche characteristics, then drafts a placement memo for the top match.

Workflow

Operator picks Tranche A, sees the top 12 ranked investors, selects three to approach, triggers draft placement memos, and sends.

Investor implication

The CRA Modernization Rule created the demand. This is the engine that routes it.

Capital Match Engine, live Keystone OS product view
LIVE PRODUCT VIEW, KEYSTONE OS v2.4.1
SURFACE 05, REPORTING

Impact Reporting

Every dollar attributed. Every beneficiary measured.

Closes the loop. Every underlying loan carries originator type, geography, demographic indicators, and sector. Deployment renders by state, by census-tract LMI status, and by borrower type, in regulatory format.

Workflow

A reporting officer pulls the Q3 CRA report; it renders in under five seconds with a full audit trail.

Investor implication

Without impact attribution there is no CRA premium. Without the CRA premium the asset class never breaks out.

Impact Reporting, live Keystone OS product view
LIVE PRODUCT VIEW, KEYSTONE OS v2.4.1
How It Works

Six agents. One trust. One bond.

01

Originate

Ingests and normalizes loan tapes across bank cores

02

Underwrite

Scores loan-level eligibility with traceable attribution

03

Pool

Composes multi-seller pools to target concentration limits

04

Structure

Builds the tranche waterfall and credit enhancement

05

Place

Matches tranches to mandate-aligned investors

06

Reinvest

Recycles freed capacity back to originators

Originate Underwrite Pool Structure Place Reinvest
How It Works

From data to growth in three steps

01

Connect your data

Securely link your core, loan, and portfolio systems in days, no rip-and-replace. Your data stays encrypted and never trains foundation models.

02

Deploy AI workflows

Turn on purpose-built workflows for underwriting, compliance, and member service. Every output is explainable and leaves an audit trail.

03

Grow with confidence

Move faster, serve more borrowers, and defend every decision in an exam, with a human always in the loop.

Timing

Two waves converged in 2024. The window opened.

2010
Dodd-Frank establishes the post-crisis securitization framework
2013
CDFI Fund Bond Guarantee Program launches, capped at $100M minimum
2017
First wave of vertical AI applications in fintech
2020
Citigroup quantifies the $16T GDP loss from racial inequality
2021
LISC publishes "Securitization for Social Innovation" calling for an intermediary
2022
The Change Company closes first AAA-rated CDFI RMBS, $283M, oversubscribed
2023
October: CRA Modernization Rule creates structural large-bank demand
2024
Fed Governor Lisa Cook calls for pooling and securitizing CDFI loans
2024
NY Fed concludes a third party must step in to aggregate multi-seller pools
2025
Richmond Fed surveys 446 CDFIs: 71% see rising demand, 33% can fund it
2026
Keystone OS
The infrastructure is finally being built.
The Founder

Nine dumbbells started it all.

Eli Fields, Founder and CEO of Keystone OS
Eli Fields
Founder & CEO

Eli Fields is a professional football player who just won the championship in the LFA league. When he isn't on the field, he's building the fintech that lets small community banks compete on the same footing as the giants.

It started when he transferred from Florida Atlantic University to the HBCU Southern University. At FAU, the football program had its own facility, the latest, state-of-the-art everything. At Southern, every sports team on campus shared one facility. Between all of them, there were nine dumbbells. And no one seemed concerned.

What was unthinkable at FAU had become quietly, surprisingly "normal" at Southern. That gap (same talent, same drive, radically different resources) is the thing Eli couldn't unsee.

Then he realized the exact same story was playing out in banking. Small and underserved communities were being served by institutions forced to compete without the tools the big banks take for granted. Nine dumbbells, all over again.

That's when Keystone OS was born, to give community banks, MDIs, and CDFIs the infrastructure to finally play on a level field.

Architecture

Built for the regulated environment from day one.

Role-based access control with audit logging on every state change

End-to-end encryption, TLS 1.3 in transit, AES-256 at rest

Immutable audit trails on every loan-level decision

SHAP-traceable underwriting decisions for rating agency review

SOC 2 Type II compliance pathway scoped, in progress

True-sale opinion architecture for SPV formation

Certifications listed are roadmap targets, not present-state attestations. We do not claim what we have not earned.
Where We Are

Public phase status.

Phase 1

Research complete

Architecture documented, evidence base assembled

Complete
Phase 2

Pilot partners

MDI/CDFI letters of intent

In progress
Phase 3

Regulatory alignment

Rating agency pre-engagement, SPV structure validation

Pending
Phase 4

Prototype

Schema mapper, underwriting agent, pool optimizer

Pending
Phase 5

Beta

First synthetic deal end-to-end on real anonymized data

Pending
Phase 6

National launch

First rated deal closes (target 2027)

Pending
On the Record

The institutions agree.

Every claim Keystone makes is backed by a third-party source, federal, academic, or industry. Each quote links directly to the primary document where it was stated.

…opportunities for CDFIs to explore options, such as pooling and securitizing loans to expand their access to capital markets.

Federal Reserve, Gov. Lisa D. Cook
May 2024 · Federal Reserve
View primary source

To do so, it would be necessary to aggregate loans from multiple originators… One solution might be for a third party to step in to aggregate the loans.

Federal Reserve Bank of New York, The Teller Window
February 2025 · Federal Reserve
View primary source

CDFIs could instead pool their loans with other CDFI originators into a single securitization deal through this structure.

Federal Reserve Bank of New York, Origination & Sale of CDFI Loans
May 2024 · Federal Reserve
View primary source

The number one need identified by CDFI MDIs was access to capital… 64 percent of banks in attendance are not approved sellers to the GSEs.

U.S. Treasury, CDFI Fund, Accessing Capital Markets
Training Deck · Treasury
View primary source

For the CDFI industry, we need an intermediary savvy with the expectations of commercial investors while also aligned with the social mission of CDFIs.

LISC, Securitization for Social Innovation
January 2021 · Industry Research
View primary source

In the past some regulatory actions have unduly burdened community banks or erected barriers to entry, while other regulatory actions have entrenched the dominant position of the largest banks.

Robert E. James II, House Financial Services testimony
September 2025 · Congressional
View primary source

For many of these products there is no secondary market that can unlock capacity and take loans off CDFI balance sheets.

Sens. Warner & Crapo, Scaling Community Lenders Act
2023 · Congressional
View primary source

Lack of lender standardization and performance information impedes securitization by increasing the cost of securitizing these loans.

U.S. Government Accountability Office, GAO-04-21
2004 · GAO
View primary source

For an investor to want to buy a loan, it has to fit into some kind of box… Investors really want that, and CDFIs don't always have it.

Jacob Scott, Fed Communities (Federal Reserve System)
September 2025 · Federal Reserve
View primary source
Voices

Trusted by community finance leaders

Keystone OS gave our lending team the kind of intelligence we thought was reserved for the money-center banks, without asking us to compromise on the relationships that define us.

Placeholder Name
President & CEO, Placeholder Community Bank
LETTER OF INTENT·NON-BINDING·NO OBLIGATION·EARLY INTEREST OPEN

Register your interest

Keystone OS is still being built. This form is not a contract and carries no obligation. It simply says you want to learn more and are willing to sign a non-binding Letter of Intent stating you believe Keystone OS would benefit your organization once it is complete. We respond to every qualified inquiry within 72 hours.

This is a non-binding expression of interest, no contract, no obligation. You will receive a confirmation within 72 hours.

DELAWARE INCORPORATED · 2026CDFI APPLICATION IN PROGRESSSOC 2 ROADMAP · Q4 2026
FAQ

Frequently Asked Questions

Everything you need to know about bringing vertical AI to your community bank, CDFI, MDI, or credit union.

Still have questions?

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  • Keystone OS is a vertical AI platform purpose-built for the community financial sector. It brings modern intelligence (underwriting support, portfolio insight, compliance workflows, and member-facing automation) into one operating system, so mission-driven institutions can move as fast as the largest banks without abandoning what makes them different.

Bring enterprise-grade AI to your institution.

Purpose-built, secure, and examiner-ready, Keystone OS helps community lenders move as fast as the biggest banks.