For Private & Institutional Lenders

The operating system for real estate credit.

Less friction. Faster underwriting. More defensible lending — every deal scored against your credit policy, in hours.

Built for scale
16 scoring models 160M+ data points
Sample deal scorecard
DEAL · 4421-A
01 Scoring models
16
02 Risk dimensions
SCALE 0–5
Non-completion
3.76
Non-selling
2.80
Stress / resilience
2.68
03 Delfin credit score
Committee-ready
3.19 / 5.00

Grade

C+

Tier

Mid

Audit trail · v2.4 04:12 UTC

The Problem

Construction lending is stuck in manual mode.

Fragmented processes, human dependency, little standardization. Two pain clusters show up in every private and institutional shop.

Manual intake, inconsistent risk assessment

  • Spreadsheet-heavy workflows & fragmented documents
  • Inconsistent credit memo quality across deals & analysts
  • Limited statistical defendability & standardization

Lean back-office, high execution risk

  • Too much time screening weak deals
  • Over-reliance on appraisals with limited visibility into developer execution
  • Difficulty scaling volume without scaling headcount
Florida new construction

The cost of manual mode

~60%

of an analyst's day spent chasing documents, not assessing deals.

The Solution

Three capabilities. One operating system.

BORROWER INSTITUTIONALIZATION RISK ASSESSMENT DIGITAL DEAL WORKFLOW 3 CORE CAPABILITIES

DelfinOne replaces manual underwriting with an AI-powered operating system that standardizes deal intake, automates credit scoring, and delivers faster, higher-quality lending decisions.

1

Support Borrower Institutionalization

Help real-estate developers prepare institutional-grade project packages. Every submission meets your underwriting and investor standards.

2

Strengthen Risk Assessment

AI-powered credit analysis with transparent drivers — customized to your credit policy. Statistical models flag weak deals early, before they consume committee time.

3

Standardize Digital Deal Workflow

A structured digital intake engine producing consistent, lender-ready packages. Transforms fragmented documents into reviewable data.

White-label Portal

Your developers get a free project management platform, branded as yours.

Custom domain, logo, colors, fonts, footer. Fully isolated tenant environment with separate user base and encrypted data. Your clients see only you.

What your developers get

AI Project & Market Analyzer

Real-time pricing, absorption, comps, demand, supply pipeline, buyer segmentation, price elasticity, macro trends.

AI Budget Planner

Detailed budgets in minutes — land, soft and hard construction costs, revenue — benchmarked against thousands of comparable projects.

Project Timeline

Full milestone and construction-phase management with dependency tracking.

Financing Scenario Simulator

Model loan structures and submit a one-click financing request from inside your portal.

AI-Generated Pitchbook

Lender-ready financial packages assembled automatically from project data.

lender.yourbank.com
Your Logo | Dashboard Projects
M

Investment

$8,127,466

Sales

$83,915,000

Profit

$75,787,533

Miami, FL

Miami, FL

Townhome · 2 Units

$1,483,500

In Review
Tampa, FL

Tampa, FL

Single family · 2 Units

$1,340,000

In Review
Fort Lauderdale, FL

Fort Lauderdale, FL

Duplex · 1 Unit

$847,000

In Review

You're not just a lender anymore.
You're the operating system your developers build on.

The Intelligence

16 specialized AI agents analyzing 3 main dimensions.

Millions of data points. Consistent credit standards. Statistical rigor.

Dimension 1

Non-Completion Risk

Will the project be built on time and on budget?

  • Sponsor creditworthiness & track record
  • Timeline and milestone realism
  • Loan characteristics & capital structure
  • Climate event risk & location exposure
  • Completion Incentive Score — equity alignment
  • Construction cost trends & volatility

Dimension 2

Non-Selling / Exit Risk

Will the finished units sell at the projected price?

  • Neighborhood Fit & desirability
  • Employer Momentum & demand drivers
  • Market Liquidity & Price Integrity Score
  • Sales & exit strategy realism

Dimension 3

Stress & Resilience

Does the deal survive a recession?

  • Project economics under stress
  • StressCube — scenario simulations
  • Drawdown Behavior™ — historical downturn lens
  • DelfinOne Credit Shock Index (D1CSI)

Delfin Credit Score

One unified score. One credit memo.

DelfinOne doesn't replace credit committees. It upgrades the inputs, the risk lens and the workflow — so committees decide faster, with more confidence and consistency.

Final score

3.19 / 5.0
C+ Review recommended

Weighted breakdown

Non-Completion Risk
43% 3.76 B+
Non-Selling / Exit Risk
37% 2.80 C+
Stress Test / Resilience
20% 2.68 C

Key strengths

A Sponsor / Developer Creditworthiness 4.33

Financial strength of guarantors — net worth, liquidity, credit history.

Strongest single predictor of project completion. Sponsors with balance-sheet depth can inject capital when problems appear and carry reputational incentive to complete.

A Project Timeline 4.33

Realism of the construction schedule vs project complexity and seasonality.

Aggressive timelines cascade into cost overruns via extended carry and market exposure.

A Climate Event Risk 4.33

Physical climate and hazard exposure of the parcel.

Carrier and exit risk compound in high-exposure zones and impact long-term loan performance.

Key risks

D Drawdown Behavior™ 1.00

Modelled behaviour of this deal archetype through historical deep drawdowns.

Predicts survivability when asset prices fall sharply and absorption stalls.

D Project-Neighborhood Fit™ 1.57

Fit between product mix, price point and neighborhood demographic fundamentals.

Mis-fit projects suffer extended time-on-market and price concessions at exit.

C Sales / Exit Strategy 2.40

Realism of projected absorption curve and exit pricing.

Inflated absorption assumptions are the most common cause of projected-vs-actual shortfalls.

The Workflow

From fragmented documents to a lender-ready package.

DelfinOne plugs into the workflow you already run — and amplifies it. The digital intake engine transforms chaotic submissions into a single, structured, lender-ready package.

50% less · 100% more

Analysts spend 50% less time chasing documents and 100% more time analyzing deal quality.

01

Send your personalized link

Share a branded link with your developers. They register inside your white-label environment.

02

Receive a pre-scored deal

Your team opens a package that arrives already pre-scored and risk-analyzed.

03

Term-sheet or rejection

Your underwriters decide to issue a term sheet or pass.

04

Client accepts & pays deposit

Developer accepts the term sheet and pays the deposit — triggering formal due diligence.

05

Automated due diligence

The DD module captures documents. An AI co-pilot chases missing items. Digital appraisal in 3 business days.

06

Credit memo generation

A complete memo is auto-assembled from intake plus DD, with a committee-ready AI recommendation.

07

Final decision

Your credit committee makes the final call. Approval, conditions or rejection is delivered to the client with full audit trail.

The Outcome

Transforming operations. Elevating portfolio quality.

Faster turnaround

Weeks of underwriting collapse into days, without growing the team.

Operational efficiency

Move faster on every deal — without dropping rigor.

  • Shorter underwriting cycles via structured intake and auto-assembled credit packages.
  • Standardized memos that reduce rework and back-and-forth with borrowers.
  • Scale loan volume without scaling headcount.
16

Risk drivers per deal

Each one cited, transparent and tunable to your credit policy.

Portfolio quality

Stronger decisions, defended by data — not opinion.

  • Consistent decisioning backed by explainable drivers and statistical defendability.
  • Stress lens that maps behaviour across historic deep downturns.
  • Early detection of weak deals before they reach committee.

Agent-as-a-Service

Powered by 160M+ property data, 16 AI agents & seamless APIs.

160M+ US parcels (99.99% coverage)
3,100+ Counties
600M+ Ownership / sales / mortgage records
830M+ Historical transactions
240+ Data fields per record
16 Specialized AI agents

Layer 01

The data foundation

Property

Parcels Sales Ownership Mortgages

Risk overlays

Climate Hazard Permits Schools

Coverage

3,100+ counties 240+ fields

Hundreds of public + private sources, refreshed daily.

Layer 02

The intelligence stack

04 16 specialized AI agents
03 RAG layer + market signals
02 Trained on loans, appraisals, research
01 Tenant isolation

Continuous ML from your deal flow. Your data never trains public models.

Layer 03

Plugs into your stack

Operations

LOS CRM Servicing

Verification

Identity Fraud Credit bureaus

Data

Your providers Secure API

Credit analytics tuned to your underwriting criteria.

Pricing

Simple pricing.

$ 2,000 / month

Included

20 Projects registered
5 Credit analyses
2 Due diligences

Add-ons

Additional project $9.90
Additional credit analysis $49.90
Additional due diligence $390.90

Relationship Lifecycle

DelfinOne does more than enhance underwriting.

It embeds the lender into the developer's operating workflow — generating loyalty, proprietary data and compounding deal flow. Instead of waiting for loan requests, lenders engage developers exactly when financing decisions are made. Click a stage to explore.

01 02 03 04 05 RELATIONSHIP LIFECYCLE
01

Stage

Attract

Invite developers onto your white-label platform — free. They get a powerful project OS. You get a structured relationship from day one.

Next step

See what your credit memo looks like on a real deal.

We'll map DelfinOne to your underwriting workflow in 30 minutes and show you exactly what a credit memo looks like on one of your recent deals.

01

Book a 30-min workflow mapping

02

Upload one recent deal package

03

See your automated credit memo