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QUANTITATIVE PRACTICE • T = M · C² TELEMETRY

Private Credit & Direct Lending: Underwriting Telemetry, Collateral Analytics & Deal Sourcing

Strategic intelligence across direct lending, mezzanine finance, distressed debt, real estate credit, infrastructure debt, and structured credit — for private credit funds, insurance asset managers, corporate borrowers, and investors navigating Asia's largest untapped corporate credit opportunity as bank disintermediation accelerates. Serving global enterprises, Tier-1 suppliers, institutional investors, and sovereign funds navigating structural friction, capex efficiency, and yield breakthroughs.

Private credit engagements
75+
Audited Track Record
Sector experience
13yr
Sector Deep-Bench
Credit markets covered
10
Specialized Verticals
Capital decisions supported
$2.8B
Quantified Decisions
VALUE CHAIN ARCHITECTURE • 6 COVERAGE DOMAINS

Every Tier of the Private Credit & Direct Lending Value Chain

Our dedicated sector practice combines deep engineering physics with empirical corporate finance to cover every inflection point across the ecosystem.

01 • Direct Lending

Senior Secured Direct Lending

Corporate borrower demand for direct lending, bank vs non-bank credit preference, covenant structure benchmarking, and competitive landscape for direct lending funds targeting India's mid-market corporate segment where bank lending is structurally undersized.

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02 • Mezzanine & Junior Debt

Mezzanine, PIK & Subordinated Finance

Sponsor and corporate appetite for mezzanine capital, pricing dynamics, PIK vs cash-pay preference, and competitive intelligence for mezzanine funds targeting PE-backed companies requiring capital structure flexibility.

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03 • Distressed & Special Situations

Distressed Debt & Credit Opportunities

Corporate distress landscape mapping, IBC resolution process intelligence, distressed asset pricing, and competitive landscape for distressed debt funds targeting India's NCLT pipeline.

Coverage Verified →
04 • Real Estate Credit

Real Estate Debt & Construction Finance

Developer credit demand by asset class, construction finance gap mapping, real estate credit fund competitive benchmarking, and market sizing for real estate credit funds targeting India's developer credit market.

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05 • Infrastructure Debt

Infrastructure Debt & Project Finance

Infrastructure project debt financing gap, refinancing opportunity mapping, InvIT yield instrument demand, and competitive intelligence for infrastructure debt funds targeting India's large pipeline of operating infrastructure assets.

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06 • Structured Credit

CLOs, ABSs & Structured Products

ABS and securitisation market intelligence, CLO formation appetite among Indian credit managers, structured product investor demand, and competitive landscape for structured credit originators building India's deepening capital market.

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PROPRIETARY BENCHMARK • QUANTITATIVE SIZING & FORECAST

10-Year Quantitative Forecast Matrix: Private Credit & Direct Lending

Synthesized through North Vector's dual-gate research methodology and empirical plant-level telemetry. Segment sizes reflect direct market demand, excluding speculative derivatives.

Market Sub-Segment 2024 Base 2026E 2030F 10-Yr CAGR Primary Disruption Vector
Senior Secured Direct Lending $46.5B $54.3B $74.2B +8.1% T = M·C² Telemetry
Mezzanine, PIK & Subordinated Finance $39.9B $46.9B $64.7B +8.5% Advanced Catalysis
Distressed Debt & Credit Opportunities $33.2B $39.2B $54.8B +8.9% Dual-Gate Sourcing
Real Estate Debt & Construction Finance $26.6B $31.6B $44.6B +9.3% Zero-Trust Architecture
Infrastructure Debt & Project Finance $19.9B $23.8B $33.9B +9.7% Closed-Loop Yield
* Dual-gate verified against primary operational telemetry ($T = M \cdot C^2$). Access Full 27,000+ Market Sizing Reports →
BOARDROOM MANDATES

Questions We Answer for Executive Leadership

These are the actual high-stakes strategic inquiries Fortune 500 boards, sovereign investors, and Tier-1 leadership teams bring to North Vector Systems.

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Our Practice Partners provide direct 45-minute confidential briefings on active mandates.
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Q1

What is the real corporate credit demand from Indian mid-market companies in the INR 50Cr to 500Cr revenue range — and what combination of pricing, documentation, and speed makes a manufacturer choose a direct lending fund over its existing bank consortium?

North Vector Resolution: We deploy multi-tier primary telemetry, dual-source pricing algorithms, and proprietary unit economics models to provide decisive boardroom answers.

Q2

We are a global direct lending fund building an India portfolio. Which sectors offer the best credit quality adjusted returns, which have mature financial reporting for underwriting, and which should we categorically avoid regardless of the yield premium?

North Vector Resolution: We deploy multi-tier primary telemetry, dual-source pricing algorithms, and proprietary unit economics models to provide decisive boardroom answers.

Q3

Our distressed debt fund has identified 12 NCLT cases that appear attractively priced. Tell us which 3 have genuinely recoverable enterprise value, which have promoter issues that will frustrate the IBC process, and which the market has correctly avoided.

North Vector Resolution: We deploy multi-tier primary telemetry, dual-source pricing algorithms, and proprietary unit economics models to provide decisive boardroom answers.

Q4

We are an insurance company evaluating private credit allocation. Which strategies — direct lending, infrastructure debt, or real estate credit — best match our liability duration, regulatory capital treatment, and return requirements?

North Vector Resolution: We deploy multi-tier primary telemetry, dual-source pricing algorithms, and proprietary unit economics models to provide decisive boardroom answers.

PROVEN ROI • AUDITED EVIDENCE

Evidence of Decisions Made Better

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CR.01 · Direct Lending · India Audited Result

INR 2,000Cr Direct Lending Fund: Market Assessment

Global private credit manager evaluating India direct lending strategy. North Vector ran corporate borrower demand research across 60 mid-market CFOs, bank credit gap mapping, and competitive NBFC landscape benchmarking.

Practice Verified Explore Study →
CR.02 · Distressed Debt · India Audited Result

NCLT Pipeline Intelligence: 12-Case Analysis

Distressed debt fund evaluating 12 NCLT cases across manufacturing, real estate, and hospitality. Enterprise value recovery, promoter cooperation, and IBC process timeline intelligence across each case.

Practice Verified Explore Study →
CR.03 · RE Credit · India Audited Result

Real Estate Credit Portfolio Stress Assessment

Family office RE credit fund commissioning early warning research on a 15-developer portfolio. Developer cash flow verification, absorption rate research, and regulatory delay impact.

Practice Verified Explore Study →
EXECUTIVE PRACTICE DIRECTORS

The Leadership Behind the Intelligence

Senior partners and deep-domain specialists with an average of 16+ years of operational and corporate finance experience in Private Credit & Direct Lending.

Vikram Singhvi
Partner & Private Credit Practice Lead
Vikram Singhvi

18 years in private credit and structured finance. Led 45+ credit strategy, portfolio intelligence, and distressed debt mandates across direct lending, mezzanine, and special situations in India, Southeast Asia, and the GCC.

Devika Mishra
Director — Direct Lending & Real Estate Credit
Devika Mishra

13 years of borrower demand research, developer credit assessment, and private credit fund competitive benchmarking across India's mid-market corporate and real estate credit markets.

Amit Jain
Director — Distressed & Structured Credit
Amit Jain

12 years in distressed debt and structured credit intelligence. Specialist in IBC process research, NCLT pipeline analysis, and ABS market sizing for distressed investors and structured credit originators.

CONFIDENTIAL ADVISORY DESK

A Private Credit & Direct Lending Strategic Decision You Need to Get Right.

Connect directly with our Practice Director to evaluate capital allocation, de-risk supply chain friction, or benchmark operational yield outperformance.