BLUEGANGES.AI

THE RIVER OF INTELLIGENCE

CREATING TRUST AND TRANSPARENCY IN PRIVATE MARKETS

Private Markets Infrastructure

Private Credit Private Equity Real Estate Infrastructure Digital Assets

United States

Provisional Patent Application No. 63/909,042

Certain architectural concepts and methods described herein relate to OPCO.AI’s Intelligence Layer and are described in United States Provisional Patent Application No. 63/909,042.

These materials are provided to BLUEGANGES.AI under a limited, non-exclusive, non-transferable, and non-sublicensable license from OPCO.AI, Inc. for internal evaluation purposes only. No license is granted to any other person or entity, and no implied license is created by access to or review of these materials. No right, title, or interest in OPCO.AI intellectual property is transferred.

These materials may not be copied, distributed, disclosed, or used to develop derivative works or competing products except as expressly authorized in writing by OPCO.AI, Inc.

OPCO

.AI

The Landscape

The Entire Private Markets Lifecycle

32 functions. 7 phases. From fund formation to wind-down — we mapped the entire operating surface.

Pre-Invest

0

functions

Fund Formation, Side Letters, KYC-AML

View detail →

Front Office

0

functions

Deal Sourcing, Diligence, Execution, Co-Invest

View detail →

Middle Office

0

functions

Portfolio Monitoring, Capital Operations, Risk, ESG, Treasury, FX

View detail →

Back Office

0

functions

Valuation, Fund Accounting, Regulatory, Tax, Audit

View detail →

Credit Ops

0

functions

Loan Servicing, Collateral, Covenants, Borrower Surveillance, Workouts

View detail →

Investor Rel.

0

functions

LP Reporting, Fundraising, Secondaries, NAV Lending

View detail →

Exit

0

functions

Value Creation, Exit Management, Wind-Down

View detail →

0

Lifecycle Phases

0

Total Functions

The Problem

300+

Technology Vendors

No single vendor covers more than a quarter of the lifecycle.

6–12 disconnected systems per GP

Every phase runs on its own stack. Origination, monitoring, valuation, reporting — all siloed.

Context breaks at every handoff

Data moves between systems but meaning doesn't. History, relationships, and risk signals are lost in translation.

Structural limitation for intelligence

Manageable when these were reporting tools. Fatal when you need AI that can reason across the full lifecycle.

The Thesis

Assets Move Through Time.

Fragmentation was a natural consequence of best-of-breed tooling. Now it's the bottleneck. You can't run intelligence across data you can't see.

Today — Fragmented

Disconnected Systems

Every phase runs on its own stack. Origination in DealCloud. Monitoring in Excel. Valuation at a third-party firm. Reporting in another vendor. Context breaks at every handoff.

Origination

Portfolio

Valuation

Reporting

Tomorrow — Connected A→Z

Unified Intelligence

One intelligence layer connected to every system. The underwriting assumption that informs the confidence score that triggers the covenant alert that updates the LP report — visible in one place.

Monitor

Value

Service

Report

Risk Metrics

If you can't see the whole environment, how can you accurately price risk?

When systems are disconnected, risk hides in the gaps between them. Lenders default to market conventions instead of pricing to the actual risk profile. The result: underpriced risk and compressed returns.

15%

Projected default rate in private credit

UBS strategists project default rates could surge as high as 15% if AI triggers aggressive disruption among corporate borrowers. Direct lenders heavily exposed to software and tech-enabled companies — roughly 25% of private credit exposure — are particularly vulnerable.

Source: UBS / Bloomberg, February 2026

~5%

True default rate including shadow defaults

Headline rates stay below 2%. But selective defaults, liability management exercises, and amend-and-pretend mask the real exposure. The risk is there — it's just not visible in current systems.

Source: PitchBook LCD / With Intelligence, 2025-2026

8%

Average PIK income at public BDCs

Borrowers deferring cash interest. The income appears on paper, but it's accumulating risk in the form of larger future obligations — and the original pricing didn't account for it.

Source: Cliffwater BDC Index / Public BDC Filings

25-50bps

European loan premium over comparable US deals

Driven by fragmented regional markets requiring customized structures and a limited pool of capital. The premium exists because the market is harder to see — proof that visibility directly impacts pricing.

Source: Northleaf Capital Partners, Q3 2025

Market Cap Decline — Major Private Credit Platforms

–$238.9B combined loss from peak (–42.3%)

                    Peak valuation (full bar) vs. current valuation (solid)
                    Source: Public market data, as of market close March 27, 2026
                

"

I literally think all the marks are wrong. I think private equity marks are wrong.

John Zito

Co-President & Head of Credit, Apollo

March 2026

"

We need to do for private credit what Goldman did for its balance sheet in 2008 — know the real price of everything, every day. Daily NAV, real pricing, real liquidity.

Marc Rowan

CEO, Apollo Global Management

“

By and large, private credit does not tend to have great transparency or rigorous valuation ‘marks’ of their loans — this increases the chance that people will sell if they think the environment will get worse, even if actual realized losses barely change.

However this plays out, it should be expected that at some point insurance regulators will insist on more rigorous ratings or markdowns, which will likely lead to demands for more capital.

Jamie Dimon

Chairman & CEO, JPMorgan Chase — 2026 Annual Letter / USA 250th Anniversary

Perfect visibility of risk equals perfect pricing of return.

The AI Opportunity

Three Levels of AI

Most vendors are stuck at Level 1. The leap to Level 3 requires something they can't bolt on — unified context.

Level 1

Utility AI

Doc → Data

PDF extraction, data normalization, format conversion. Helpful but commoditizing fast. Every vendor will have this within 18 months.

✓ Everyone can do this

Level 2

Copilots

Task Assistance

Chat interfaces, query builders, report drafting. Useful but limited to single-stage context. The copilot can only see what its vendor sees.

● Point solutions can do this

Level 3

True Intelligence

Full Lifecycle AI

Cross-stage reasoning, pattern recognition across time, predictive intelligence. The covenant breach that changes the valuation that updates the LP report — automatically.

★ Only possible with lifecycle unification

The Intelligence Layer

Intelligence requires complete context.

Intelligence Layer

Portfolio

Loan Servicing

Valuation

Reporting

Compliance

The Intelligence Layer is a registered trademark of OPCO.AI Inc.

The Operating Flywheel

The intelligence layer unifies fragmented systems into a single data fabric. Unified data powers analytics. Analytics enables predictive intelligence. Predictive intelligence strengthens the layer.

Problems

Current Problems — Private Credit

01

Asset servicing is fragmented by design

Private credit servicing is a landscape of 300+ specialized providers, each purpose-built to handle a single function of the lifecycle. Nobody designed the stack to operate as one — it was designed to operate in fragments. Fragmentation isn't a gap to be closed; it's the structure of the industry itself.

02

Mark-to-model valuation methodologies have become problematic

Mark-to-model and mark-to-algo valuations are inaccurate and have caused a loss of credibility for asset managers. To drive trust, mark-to-market is foundational.

"Traditional asset managers will not move in size into the private marketplace unless we can do things like daily NAV, unless we can provide price, unless we can provide liquidity."

— Marc Rowan, CEO, Apollo Global Management

03

Basic risk methodologies lack the visibility and finesse to calculate advanced risk analytics and predictive intelligence.

Current systems surface stale risk. The real challenge is identifying hidden Level 1, 2, and 3 risk. To us, there seems to be an imbalance in the risk/reward equation. Unified context unlocks predictive risk intelligence — credit deterioration detected as it forms, not after it surfaces in a quarterly report.

The Platform

BLUEGANGES.AI

Steps

1

Integration Layer

Connect every system

FREE

2

Base Analytics

Unified monitoring, standard risk

FREE

3

Predictive Intelligence

Advanced predictive risk, network signals

REVENUE GENERATING

4

Price Discovery

Daily mark-to-market, monthly NAV

REVENUE GENERATING

5

Secondary Market

Liquidity for private assets

REVENUE GENERATING

STEP 1

BLUEGANGES.AI

Integration Layer

Every firm runs a different stack. Delta connects to all of it.

Once we connect every system, the risk nucleus forms.

Every data source feeding into one core nucleus — the genesis of the intelligence layer.

STEP 2

BLUEGANGES.AI

FREE TIER

Base Analytics

Connect your systems. See everything in one place. Traditional risk and analytics — unified.

This is the analytics you already run — VaR, Sharpe, leverage, covenants — except today it's scattered across five systems and stitched together in Excel. Delta unifies it instantly.

D E L T A

Meet Delta IntelligenceOur Intelligence Layer

Delta connects to your existing systems and unifies everything into a single view. No rip-and-replace. No migration. Plug in your fund admin, loan servicer, compliance platform, and borrower reporting — Delta normalizes the data and gives you one dashboard.

At the base level, Delta runs the same analytics your team already produces — just unified across every system, updated continuously, and delivered without a single spreadsheet.

PORTFOLIO OVERVIEW — UNIFIED

Last synced: 2 min ago

$1.88B

Total AUM

18

Positions

4.2x

Wtd Avg Leverage

2.1x

Wtd Avg Coverage

94%

Covenants Current

POSITION SNAPSHOT — POINT IN TIME

Name

Drawn

Leverage

Coverage

EBITDA Margin

Covenant

GlobalPharma Inc.

$180M

3.1x

3.2x

26.4%

✓ Pass

Apex Manufacturing

$200M

3.9x

2.4x

22.8%

✓ Pass

Meridian Healthcare

$85M

6.4x

1.1x

14.0%

⚠ 3%

Cascade Industries

$110M

7.1x

0.9x

11.2%

✗ Breach

+ 14 more positions

DATA FROM

WSO Allvue eFront Confluence Internal Excel

5 systems → 1 view

TRADITIONAL RISK METRICS

$42M

VaR (95%)

parametric, 1-day

42%

Top 5 Concentration

5 of 18 positions

38%

Top Sector

Healthcare

S+4.1%

Wtd Avg Spread

over SOFR

3.2yr

Wtd Avg Life

to maturity

92%

1st Lien

seniority mix

58%

Wtd Avg LTV

enterprise value basis

2.3%

Non-Accrual

1 position ($43M)

1.8x

Interest Coverage

portfolio level

6.2%

PIK Exposure

% of total income

This is what unified data looks like. Leverage from your fund admin. Coverage from your loan servicer. Covenants from your compliance platform. EBITDA from borrower reporting. Five systems, one table — no spreadsheet stitching. These are the metrics every private credit firm already tracks. Delta just puts them in one place.

Unified View

Every position, every fund, every system — one dashboard. No toggling between five tools to see your portfolio.

Cross-System Alerts

When your servicing data contradicts your monitoring data, Delta flags it. Automated reconciliation across every connected source.

Standard Metrics

VaR, Sharpe, HHI, sector concentration, weighted spreads — the traditional analytics your team already runs, computed across unified data.

Integration and base analytics are the adoption hook and are free. Subsequently, the more firms that connect to Delta, the more powerful Delta predictive intelligence gets.

As an example, Meridian Healthcare shows leverage of 6.4x and coverage of 1.1x.

Is the credit getting worse? How fast? What happens if it defaults? Does it take anything else with it? Are there any correlations?

Traditional metrics can't answer those questions. Delta predictive intelligence does.

STEP 3

BLUEGANGES.AI

REVENUE GENERATING

Predictive Intelligence

Base analytics tell you where you are. Predictive intelligence tells you where you're headed — and catches it months before quarterly reports do.

Six predictive risk pods — each powered by cross-system context that no single tool can produce. This is what Step 1's integration layer unlocks — and it's what firms pay for.

Credit Intelligence

Forward-looking credit analysis, not backward-looking financials

MERIDIAN HEALTHCARE — CREDIT ASSESSMENT

67%

Default Probability

Behavioral signals, not just financials

▸ How

↓ 2

Confidence Trajectory

Dropped 2 bands in 90 days

▸ How

72%

Pattern Match

Similarity to past defaults

▸ How

48¢

Expected Recovery

Probability-weighted scenarios

▸ How

0.8σ

Distance-to-Default

Merton model, <1.0σ = elevated

▸ How

1.2

Altman Z-Score

Distress zone, was 2.1 six months ago

▸ How

-18%

Cash Conversion

EBITDA vs. actual cash flow gap

▸ How

↓ 340bps

Margin Trajectory

3-quarter compound decline

▸ How

Risk Intelligence

Three-level engine with propagation analysis and action plans

100

/100

CONTROL SCORE

Needs Attention

▸ How it's calculated

9

Findings

4

Critical

18

Positions

L1

Control Failures

Preventable risks from missed basics — no market stress required for damage. Delta identifies the root cause, assigns severity, and generates an action plan with ownership and deadlines.

Stale data Limit breaches Undocumented overrides Credit deterioration

4

findings

L2

Regime Risks

Everyone did their job, but the portfolio is still vulnerable. Delta stress-tests against historical analogues and identifies where portfolio construction assumptions break under regime change.

2008 GFC 2020 COVID 2022 Rate shock Refinancing stress

3

findings

L3

Tail Events

Extreme but plausible scenarios that could threaten portfolio survival. Delta models the failure pathway, quantifies the exposure, and pre-builds contingency protocols before the event materializes.

Forced liquidation cascade Counterparty contagion Reflexive NAV spiral

2

findings

Covenant Intelligence

Predict breaches before they happen, not after

Breach Prediction

Forward-projects ratios from trailing operational data. 90-day breach probability at next test date.

Cushion Erosion

Not "are you in compliance" but "how fast is the cushion shrinking." Rate-of-change over point-in-time.

Amendment Patterns

Flags when amendment requests resemble pre-workout patterns in the historical dataset.

Proximity Dashboard

Every position ranked by cushion with forward-projected breach probability. Always on.

Liquidity Intelligence

Duration risk, cash flow forecasting, forced liquidation modeling

$742M

accessible within 90 days

$1.14B

illiquid beyond 90 days

39% Cash $47M · 30d $210M · 90d $485M

61% no exit without material haircut

POSITION-LEVEL LIQUIDITY CLASSIFICATION

0 – 30 days

Haircut: 0-2% $257M (14%)

Pinnacle, Apex, GlobalPharma

31 – 90 days

Haircut: 3-6% $485M (26%)

Sterling, PrecisionAero, Summit, Vertex

91 – 180 days

Haircut: 8-15% $610M (32%)

Atlas, Acme, Meridian, unitranche positions

180+ days

Haircut: 15-30%+ $528M (28%)

Cascade, distressed/workout positions

LIQUIDITY COVERAGE RATIO

Base case 1.8x

Available 0-90d liquidity covers near-term obligations comfortably. No forced selling required.

Double default stress 0.7x

Meridian + Cascade default triggers borrowing base reduction, redemption surge, and margin calls. $67M shortfall.

WHY THIS REQUIRES CROSS-SYSTEM DATA

Cash positions from treasury. Facility terms from lending docs. Redemption patterns from LP activity. Collateral values from monitoring. No single system runs this model.

Duration Buckets

Every position classified by time-to-cash under stress. Four buckets from same-day to 180+.

NAV Facility Stress

Deterioration cascading into borrowing base reductions, margin calls, forced liquidation spirals.

Cash Flow Forecasting

Drawdown timing, distribution waterfalls, timing mismatch detection between inflows and outflows.

Liquidity Budget

Sale priority waterfall, haircut tolerance, gate triggers, contingency financing.

Portfolio Intelligence

IC-ready outputs, contagion analysis, and decision support

PORTFOLIO X-RAY — IF CASCADE INDUSTRIES DEFAULTS ($110M)

⚡

DEFAULT

Cascade Industries

$110M

→

NAV Facility Impact

-$18M

Borrowing base reduction. Cascade drops from eligible collateral pool, tightening available credit.

Concentration Breach

26% → 31%

Industrials concentration exceeds 25% house limit after rebalancing the denominator.

Correlated Positions

2 names

Acme and Atlas share sector headwinds. Combined exposure: $144M at elevated risk.

Cross-Fund Ripple

3 funds

Firm-wide weighted avg score drops 0.3pts. Fund III hardest hit — triggers LP notification threshold.

IC Briefs

Full IC briefings — scenario analysis, comparable deals, recovery estimates. Auto-generated from live data.

Portfolio X-Ray

One name defaults — see the ripple. NAV facility impact, concentration, correlated positions.

Concentration Mapping

Hidden exposures beyond industry codes — shared revenue, geographic overlap, same PE sponsor.

Early Warning Pipeline

Performing → Watch → Surveillance → Workout. Track migration through stages over time.

Network Intelligence

The moat — signals that only exist because multiple firms are connected

COMPOUNDS WITH SCALE

Cross-Manager Signals

"3 of 5 managers holding this credit adjusted marks down." Anonymized, aggregated.

Consensus Divergence

Are you seeing something others aren't — or missing something they see?

Historical Pattern Match

More workouts on the platform = better recovery prediction for everyone.

Sector Flow Signals

When smart money is quietly rotating, Delta sees the aggregate pattern.

ALL SIX PREDICTIVE RISK PODS CONVERGE INTO GENERATING EARLY WARNING SIGNALS

DELTA ALERT — EARLY WARNING

Severity 7/10

Meridian Healthcare — Credit Deterioration Detected

Coverage ratio has fallen below 1.2x. Payment delays have increased 40% over the last 90 days. EBITDA margin compressed from 22% to 14%. Covenant cushion is now 3%. Pattern matches 72% of names that required workout in Delta's historical dataset.

INTELLIGENCE SOURCES

Loan Servicing payment delays

Portfolio Monitoring margin compression

Borrower Surveillance covenant breach risk

Valuation fair value impaired

Historical Pattern Match cross-portfolio

No single system produced this alert. Loan servicing saw late payments. Portfolio monitoring saw margin compression. Borrower surveillance saw covenant risk. Only Delta — seeing all of them together — recognized the pattern.

EVERY SIGNAL CONVERGES INTO OUR PROPRIETARY CONFIDENCE SCORE

Confidence

0

1

2

3

4

5

6

7

8

9

10

WTF / Default Sel. Default Near Default Very High Risk Substantial Speculative Adequate Good High Quality Very High Highest

CONFIDENCE SCORE TRAJECTORY — Meridian Healthcare

3 months

Delta flagged the deterioration before Q2 reports revealed it

15–20pts

Estimated recovery improvement from earlier intervention

This is what operational data sees that financials don't. Payment delays, reporting lags, amendment requests, covenant trajectory — Delta scores behavior daily, not quarterly.

The moat compounds. As more firms connect, Delta sees more behavior across more assets. Every capability above improves with scale. The confidence score improves for everyone.

Live Prototype

See Delta In Action

The risk engine, the liquidity model, the covenant monitor, the confidence score — explore the working prototype below. Ask Delta a question. Run a stress test. Drill into a position.

STEP 4

BLUEGANGES.AI

Price Discovery

This process doesn't exist today. We build it. Holders submit marks, Delta aggregates consensus, and for the first time private assets have a market-derived mark.

POSITION

4.1

Risk Sensitivity
Adjustment

1 — Conservative 10 — Aggressive

DELTA FV

84.50

DELTA PRICE DISCOVERY

LIVE · 29 SUBMISSIONS TODAY

Consensus derived from anonymous market participant submissions. No single firm sees another's price.

↩ RESET SORT

SUBMIT YOUR MARK →

SELECT POSITION FOR DEEP DIVE

THE RISK CURVES

Mark-to-Market vs. Mark-to-Maturity

Delta surfaces the mark-to-market duration curves across market consensus marks, Delta fair value, and the mid-market smoothened curve — and the associated spreads.

Mark-to-Maturity (Par)

Holder Consensus

Mid (Blended)

Delta Fair Value

MARK-TO-MATURITY

100.00

Par at maturity

HOLDER CONSENSUS

93.25

6 holders · 4 methodologies

MID PRICE

88.88

Consensus + Delta blended

DELTA FAIR VALUE

84.50

Delta's independent assessment

HOW CONSENSUS IS BUILT — 93.25

Not a simple average. Each holder's mark is weighted by three factors through Bayesian aggregation. Outliers are dampened, not excluded.

40%

Conviction Weight

How confident is the holder

35%

Track Record

Historical accuracy of their marks

25%

Position Size

Larger holders have more skin in the game

HOW DELTA CALCULATES FAIR VALUE — Meridian Healthcare

Par Value 100.00

Expected Loss Probability of Default 18.2% × Loss Given Default 42%

−7.64

PD 18.2% — KEY DRIVERS

Coverage ratio declining1.1×

Revenue trend (YoY)-12%

Sector default rate4.8%

Leverage (Net Debt / EBITDA)5.2×

LGD 42% — KEY DRIVERS

Seniority1st Lien

Collateral coverage1.4×

Sector recovery avg62¢

Comparable recoveries55-65¢

Any credit analyst can calculate the above from financial statements and market data

Illiquidity Discount No secondary market

−3.50

Delta Intelligence Adjustment What only Delta sees — from Steps 1–3

−4.36

CROSS-SYSTEM SIGNALS — INVISIBLE WITHOUT DELTA

Covenant reporting delayed47 days late

Revenue vs. collections mismatch$2.1M gap

CFO turnover (2nd in 18 mo.)Flagged

These signals live in disconnected systems — no single vendor surfaces them together

Delta Fair Value 84.50

THE UNLOCK

Asset managers want access to the additional AUM in 401(k)s, direct contribution plans, and wealth platforms. Foundational infrastructure — daily pricing, transparent NAV, and exit liquidity — is required but does not exist.
Delta builds and delivers on this.

Marc Rowan, CEO, Apollo Global Management

"AUM will not grow unless we can provide daily NAV, transparent pricing, and real liquidity."

Surface risk first

Managers on the network see the turn before managers off the network.

Audit armor

"How did you arrive at this mark?" Third-party consensus is the strongest answer.

Catch your own overmarks

Your model says 96.50. Consensus says 93.25. Delta FV says 84.50. Two independent signals before your auditor finds it.

The market will force it

$10B in Q1 redemptions. BlackRock gated its own fund. Transparent pricing is no longer optional.

Flywheel — Evolution of the Private Markets Infrastructure

STEP 5

BLUEGANGES.AI

Secondary Market

There is no secondary market for private credit. Delta's predictive intelligence helps create it.

$20B

Credit secondaries volume 2025

Nearly 2× prior year

$50B+

Projected annual volume

Evercore, 12–24 mo. horizon

$3.5T

Private credit AUM

Current

$5T

Expected private credit AUM

By 2030

WHY SELLING A PRIVATE CREDIT POSITION TAKES 10–18 WEEKS

No price discovery

Buyer and seller negotiate from zero. No consensus, no comps, no market-clearing price.

Information asymmetry

Buyer can't underwrite without weeks of DD. Seller has data buyer can't access. GP can block.

Single counterparty

Sell back to the GP at the GP's price. No competitive tension. The buyer sets the terms.

From 10–18 weeks to Real Time

Delta provides the pricing, intelligence, and network that eliminates bottlenecks.

Connected managers = pre-qualified buyers and sellers

Managers on Delta are already connected, KYC-verified, and have access to the same data. The buyer/seller pool exists before the listing.

Delta confidence score replaces weeks of due diligence

The confidence score, backed by cross-system intelligence, is the foundation for the underwriting signal.

Consensus price exists before listing

Seller sets ask informed by market consensus. Buyer sees the same consensus. Negotiation starts from a shared reference point.

SELLER

LP lists position

Sets ask price informed by Step 4 consensus. Retains anonymity.

→

DELTA MATCHING

Score + Price + Match

Confidence score lets buyers underwrite. Consensus price sets the market. Delta matches.

→

BUYER

Any qualified buyer

Not just the GP. Hedge funds, insurers, family offices, other LPs.

BLUEGANGES.AI

Portfolio Manager

Delta doesn't just price and trade individual positions — it gives you the tools to actively manage your entire portfolio.

PORTFOLIO REBALANCER

Sector Rotation — SaaS

Infrastructure

Lighten overweight sectors, add to underweight — executed through Delta's secondary marketplace.

SELL

Cloudpoint SaaS TL $8.2M

DataSync Platform 1L $10.2M

BUY

NorthGrid Energy TL $10.0M

Apex Fiber Networks 1L $8.4M

EXECUTE MULTI-LEG REBALANCE

PAIRS/SPREAD TRADING

SELL

BUY

Exit Thesis

Likely Interested Partners / Acquirers

And why they would care.

The strongest evidence of demand is that the largest incumbents are investing aggressively in private markets data and analytics:

BlackRock

→ Preqin

Fuse private markets data with Aladdin workflow

MSCI

→ Burgiss

Expand private assets data & analytics

S&P Global

→ iLEVEL, With Intelligence

Accelerate private markets intelligence

Bloomberg

→ Private Direct Lending Data

Normalize fragmented private credit data across ~$1T in deal flow

Given that pattern, the most logical buyer set for BLUEGANGES.AI is:

1

MSCI, S&P Global, Moody's Analytics, LSEG, ICE, Nasdaq, FactSet, Morningstar

Data, Index & Benchmark Giants

Dataset powers indices, benchmarks, risk products, and enterprise data feeds

2

BlackRock/Aladdin ecosystem, institutional workflow vendors

Workflow & Enterprise Platforms

"Workflow + private markets data" is explicitly strategic

3

State Street, BNY, Northern Trust, SS&C-adjacent ecosystem

Asset Servicers & Custody Banks

Already near operational data exhaust — improves automation + analytics

4

Large GPs and credit platforms seeking proprietary intelligence

Major Private Credit Platforms

Differentiated underwriting, monitoring, LP reporting — or control the network

5

Moody's RMS, MSCI Risk, Verisk, Archer, Riskonnect

Enterprise Risk System Providers

Private credit risk intelligence fills the gap in portfolios that span public + private

6

MarketAxess, Tradeweb, Bloomberg

Price Discovery and Secondary Trading Infrastructure

Delta's predictive analytics, price discovery, and secondary market is an attractive fit for firms that don't have frontier risk/analytical engines

BLUEGANGES.AI

We are builders and innovators, creators of the

Intelligence Layer