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Autocorp.ai (AVA) — Shopper-level auto-purchase intent panel with bureau-linked credit depth: soft-pull credit profiles (score, trade lines, inquiries, public records via Equifax and TransUnion CreditVision), verified-ID and fraud scores, trade-in/negative-equity appraisal context, and the downstream outcome label — whether the qualified lead actually closed. Embedded across dealer websites, CRMs, QR codes and in-store workflows for 650+ dealerships, so the same shopper journey is captured from first click to funded contract.. Small, capital-light specialist: ~30 people, ~$1.4M raised, but wi…
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Shopper-level auto-purchase intent panel with bureau-linked credit depth: soft-pull credit profiles (score, trade lines, inquiries, public records via Equifax and TransUnion CreditVision), verified-ID and fraud scores, trade-in/negative-equity appraisal context, and the downstream outcome label — whether the qualified lead actually closed. Embedded across dealer websites, CRMs, QR codes and in-store workflows for 650+ dealerships, so the same shopper journey is captured from first click to funded contract.
Scale est. 10^5-10^6 credit-qualification events to dateFrom 8 yearsCoverage Information Technology · Financials
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Autocorp.ai (AVA) — Shopper-level auto-purchase intent panel with bureau-linked credit depth: soft-pull credit profiles (score, trade lines, inquiries, public records via Equifax and TransUnion CreditVision), verified-ID and fraud scores, trade-in/negative-equity appraisal context, and the downstream outcome label — whether the qualified lead actually closed. Embedded across dealer websites, CRMs, QR codes and in-store workflows for 650+ dealerships, so the same shopper journey is captured from first click to funded contract.. Small, capital-light specialist: ~30 people, ~$1.4M raised, but wi…
Autocorp.ai (AVA) offers (Alternative, Fundamental, Sentiment) — est. 10^5-10^6 credit-qualification events to date, each carrying a bureau profile, an ID/fraud assessment, a trade-in appraisal and a downstream close outcome; the inventory-matching module adds a per-dealer vehicle-fit matrix on top.
Auto lead-scoring and purchase-intent model training with true close labels; subprime/near-prime prequalification models; negative-equity and trade-in valuation models conditioned on borrower credit; marketing-attribution and contactability studies (credit-refresh-triggered outreach vs. dormant leads); Canadian consumer credit-availability nowcasting; fraud detection at lead stage.
The data is with 8 years of history.
Coverage spans US, Other; Application Software, Consumer Finance; alternative, fundamental, sentiment; equities.
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