The ABCs of Asset-Backed Credit: Early Lessons from the Next Digital Pawn Stars

Part 1: Emerging Playbook

Asset-backed credit (ABC) refers to loans secured by financial or physical assets that can be reclaimed or monetized upon default. For borrowers, collateral reduces risk for lenders and unlocks cheaper or otherwise inaccessible credit. For creditors, it provides loss mitigation, predictable cash flows, and the ability to diversify across asset types and geographies. The specialized origination, underwriting, monitoring, and capital-market distribution creates a “complexity premium” that can generate attractive spreads for investors when executed with discipline and diversified across asset pools.

Why Startups Historically Struggled?

Traditional venture incentives - hypergrowth and rapid market capture - clash with credit’s requirement for discipline. Unlike equity, credit returns cannot “outperform” their losses; one bad cohort can wipe out years of origination. This has historically limited venture-scale outcomes. Early fintech marketplaces tried to solve this by routing borrowers to lenders, but most operated as transactional lead-gen: thin margins, weak underwriting, high churn, and no structural defensibility.

Why This Time Is Different?

The new generation of ABC startups isn’t merely matching borrowers to capital. They are embedding credit into workflows where data is created, using proprietary signals to underwrite more accurately, and building infrastructure that integrates origination, servicing, and securitization. When executed end-to-end, disciplined lending does scale like software.

Recent breakouts demonstrate the viability of this playbook:

• Figure - consumer credit secured by home equity/HELOCs (and more recently crypto) - is the first end-to-end ABC player to go public ($FIGR; +11% post-IPO) with $16B+ in loans to date and $341M in revenue last year.

• Aven - credit-card-like product secured by the borrower’s HELOC - has extended +$3B in credit, reaching +$200M in annualized revenue, and AAA-rated securitizations only ten months after its first deal.

• PayJoy - smartphone-secured consumer lending (using phones as collateral) - has scaled to +15M+ customers with $2.5B loans financed, growing 30% YoY.

While the three fastest-growing breakout players are all consumer-facing, it’s worth underscoring that the most mature and scaled segment of the ecosystem remains enterprise-focused due to it’s shorter duration, deeper data exhaust, and more predictable performance. In particular, receivable-backed lending continues to dominate in depth and sophistication (receivables are a financial asset, fitting squarely within the broader ABC framework). Nonetheless, innovation is compounding across all collateral types: receivables, securities, and physical assets.

As the infrastructure and investor appetite for ABC matures, with AI amplifying underwriting/servicing precision, the core constraint shifts from data availability to lender discipline and capital-market credibility.

Market Map:

These players highlight the range of collateral - from invoices to equities to vehicles - that can support new credit models. Not all assets are equally suited for lending; success depends on enforceability, liquidity, and scalability. Yet, product-market fit goes beyond collateral.

Emerging Playbook:

Figure shows how controlling the full credit value chain creates compounding structural advantages, and how capital-markets trust can turn that into a flywheel. While Figure is the most visible proof point, many others are now applying the same ABC playbook in niche markets, setting up the next breakout cohort.

The blueprint for the next generation of winners is becoming clear: they excel at the three fundamentals (origination, underwriting, servicing) and embedded the fourth (securitization) throughout. AI sharpens each lever and improves unit economics, but it cannot replace discipline. The strongest teams use AI as an accelerant, not a substitute, to building credibility, operational rigor, and a defensible GTM.

1. Origination

Origination is the GTM engine of ABC: controlling the flow of high-quality borrowers at predictable cost. Structural origination channels lower CAC, improve borrower quality, and create privileged access to underwriting data that competitors cannot replicate.

What wins now:

• Focus on structurally mispriced (e.g. geo-arbitrage in emerging markets/trade corridors or financing emerging business models), ignored borrower segments (e.g. tradfi excluded asset classes like crypto or pre-IPO equity liquidity) and/or underutilized collateral types

• Build embedded, defensible distribution by integrating into existing workflows that already govern financial decisions: creating distribution moats (e.g., payroll integrations in EWA or treasury/capital management integrations in B2B lending)

• Create “invisible credit” moments where borrowing is a native, near-automatic step in the user’s workflow (e.g., invoice-linked SME credit, checkout-embedded B2B BNPL, unified pay-later + settlement flows etc.)

• Evolve toward capital-efficient, recurring-revenue models that recycle capital through gain-on-sale and servicing fees while layering in workflow, data, or monitoring income streams: decoupling growth from balance-sheet size, widening margins, and creating the predictable, compounding economics capital markets reward (e.g. shifting to consumer credit card + servicing economics)

2. Underwriting:

Underwriting is the reinforcing risk engine of ABC: transforming messy, heterogeneous signals into repeatable credit decisioning: improving unit economics at every step and simultaneously expanding TAM.

What wins now:

• Exploit non-traditional, rich, high-fidelity data exhaust pipelines that incumbents overlook - operational telemetry, real-time cashflows, platform behavior, or historical asset-level performance data: underwrite dynamically rather than rely on static bureau signals (e.g., inventory turnover, supplier payment cadence, or SKU-level performance data for ecommerce merchants instead of FICO)

• Fuse auxiliary, behavioral, and ecosystem data into dynamic, continuously updated models, integrating live data to segment risk with far greater granularity: expanding eligibility while maintaining tight loss visibility (e.g. supplementing with real-time accounting, processor, and bank integrations or counterparty monitoring, and workflow signals; integrating live asset usage, geolocation, and alternative signals)

• Automate collateral verification and document intelligence: transforming unstructured documents into heterogeneous paperwork and structured underwriting inputs that reveal hidden risks and compress decision times, making previously complex or opaque asset categories scalable (e.g. ingest and standardize leases, invoices, bills of lading, POs, statements etc.)

• Deploy structured second-look / human-in-the-loop layers: capturing borderline but creditworthy borrowers (e.g. AI-driven scoring to route edge cases/exceptions to human reviewers)

3. Servicing:

Servicing is the operational backbone of ABC: where margins are protected or destroyed. Equal parts operational efficiency, borrower psychology, and compliance: turning every repayment, signal, and exception into a predictable, software-defined workflow.

What wins now:

• Embed collection into the customer’s native workflow, controlling fund flows end-to-end, so monitoring, repayment, and compliance are automatic byproducts of normal behavior: minimizing delinquency and protecting unit economics, especially in small-ticket or high-frequency lending (e.g., repayment via receivables sweeps, payroll-linked remittance, or platform-harvested settlements)

• Design personalized, segmented recovery strategies that differentiate between hardship and strategic default: using behavioral and asset-linked signals to tailor interventions, preserve goodwill, and maintain origination brand equity while still maximizing recoveries (e.g. align repayment with liquidity type/events; link delinquency to asset usage/functionality)

• Deploy continuous monitoring with granular, event-driven systems that trigger interventions (proactive restructuring, exposure reduction, or automated liquidation) based on real-time asset or borrower signals: moving from batch processes to continuous servicing (e.g., automated delinquency flags tied to inventory turnover or merchant processor data)

• Embed compliance guardrails directly into servicing systems: ensuring disclosures, fee practices, timelines, and collateral records meet regulatory and investor standards, protecting securitization readiness and capital-markets access (e.g. tamper-evident data structures, automated audit trails, and standardized digital collateral records)

4. Securitization:

Securitization is the scaling flywheel of ABC: not a one-time milestone but a continuous system design principle that closes the funding loop and compounds cost-of-capital advantages as volumes grow. Securitization co-evolves, allowing lenders to function as programmable liquidity engines that re-enforce credibility, reduce capital friction, and expand origination capacity.

What wins now:

• Embed securitization readiness at the data and loan-layer, structuring collateral, loan terms, and documentation so every originations is investable from day one: creating real-time audit-ability, accelerating investor diligence, and reducing time-to-market for ABS issuance (e.g. automatically standardize terms, enforce verifiable lien tracking, and generate structured loan tapes)

• Use securitization as a continuous, transparent product surface, offering forward-flow or API-accessible pools that allow investors to dynamically allocate, co-invest, or participate in tranches: creating predictable, always-on access to institutional funding and expanding investor engagement (e.g. dashboards, real-time performance metrics, and tranche-level visibility for structured pools, replacing episodic, opaque capital deployment)

• Close the funding loop through capital recycling and performance-aligned residuals, using repayment proceeds or equity tranches to finance new originations: enabling self-sustaining growth and compounding liquidity without relying solely on external funding (e.g. structure reinvestment of principal and residual interests into fresh loan issuance)

Closing view:

The breakthrough in asset-backed credit isn’t just new collateral - it’s a paradigm shift in where value sits in the stack, paired with a strategic, end-to-end re-architecture of infrastructure. Origination is embedded where data is generated, underwriting leverages asset-native signals, servicing is automated and compliant by design, and securitization is integrated at the data layer. Together, these elements transform lending from a balance-sheet business into a software-scaled, capital-efficient system. The next generation of ABC winners will look less like traditional lenders and more like programmable liquidity networks—turning overlooked assets and cash flows into securitizable, investable financial products at scale.

This playbook is just the beginning. Vast asset classes remain under-financed, infrastructure providers can unlock trillions in dormant value, and advances in AI promise not only efficiency gains but the ability to finance an ever-expanding range of assets. ABC is no longer a slow, institutional niche - it is evolving into a venture-scalable frontier.

Next, we’ll explore the untapped white spaces where similar playbooks could unlock under-financed assets and new credit markets. In the meantime, if you’re an investor, infrastructure player, or lender exploring this space, we’d love to connect!