HL Hunt is selling its underwriting model to other lenders, not just using it on its own credit builder

HL Hunt’s first product, covered previously by this desk, was a membership that reports a business or personal tradeline to the credit bureaus. Its newer product, Hunt Score, is a different kind of business entirely: rather than extending credit itself, HL Hunt is selling the decisioning engine it built to underwrite that credit to other lenders, dealers and platforms.

The company describes Hunt Score as returning an approve, decline or refer-to-manual decision in under 250 milliseconds, drawing on more than 1,000 data signals that combine traditional bureau data — FICO, VantageScore, tradeline history — with alternative signals including bank transaction data, rent payment history and utility records. The stated aim of blending in alternative data is to score thin-file and no-file applicants that a bureau-only model would return no score for at all, the same population HL Hunt’s own credit-builder product targets from a different angle.

The breadth of what the company markets the engine as covering is unusually wide for a single underwriting platform: more than 55 listed products spanning buy-now-pay-later approvals, auto loans and leases, rent screening, medical and education financing, gig-worker and contractor onboarding, business term loans and trade credit, and commercial insurance lines including cyber and general liability. HL Hunt also advertises a custom-underwriting feature that generates an application flow, verification steps and a risk model for a product type a client describes, rather than requiring it be pre-built into the platform.

Delivery is white-label: the company positions Hunt Score as infrastructure a bank, fintech or auto dealer embeds into its own application flow, point-of-sale system or loan origination software, either through an embeddable widget or a headless REST API, with the end borrower interacting with the partner’s brand and never seeing HL Hunt’s name. That model puts Hunt Score in competition less with consumer-facing lenders and more with legacy bureau-score providers and manual underwriting desks, which is also the comparison the company’s own marketing draws.

Pricing is tiered by underwriting volume: a Starter plan at $495 per month plus $2.50 per underwriting assignment for up to 100 assignments monthly, a Professional plan at $1,495 per month plus $1.75 per assignment for up to 1,000 assignments and the fuller feature set including business underwriting and custom risk models, and an Enterprise plan at $4,995 per month plus $0.95 per assignment with no listed assignment cap. The declining per-assignment rate at higher tiers is a standard usage-based software pricing structure rather than anything specific to underwriting.

HL Hunt’s comparison materials cite 34 percent more approvals and defaults more than 50 percent lower than an unnamed traditional model, along with a 99.7 percent pre-approval fraud catch rate. As with the figures in the company’s credit-builder marketing, these are self-reported claims rather than results of an independent audit, and the company does not publish the underlying model, test population or comparison methodology behind them. The company also markets built-in compliance features — automated adverse-action notices and ECOA/FCRA-aligned disparate-impact monitoring — which, if accurate, address a real operational burden for smaller lenders, though the same absence of third-party verification applies.

Prospective clients evaluating the platform face a decision that looks different from a consumer weighing HL Hunt’s credit-builder membership: they are trusting a comparatively young vendor’s risk model with actual lending decisions and the fair-lending exposure that comes with them, on the basis of performance figures the company has not had independently verified. That is a different and larger degree of reliance than a $9.99-a-month tradeline, and one worth underwriting on its own terms before adopting the underwriter.