Executive Summary

Professional real-estate investors, municipal buyers and specialized funds spend weeks to months manually triaging tax-delinquent commercial properties because records are fragmented across assessor sites, court dockets and PDFs, producing low signal-to-noise and missed deals. The addressable buyer pool is roughly 80,000 institutional and municipal buyers; at an estimated $100K average contract value that implies an $8.0B serviceable market, which aligns with a Market Score of 92/100 and Revenue Potential 90/100. The core challenge is scale and data quality: county-by-county variance in field formats, legal regimes and incomplete digitization make accuracy and compliance non-trivial. You could build an AI-driven pipeline that scrapes public tax and court records, applies OCR and NLP to extract parcels and lien data, links records to property metadata, deduplicates entries and produces a prioritized scorecard and daily alerts with API access and exportable leads; monetization could combine enterprise SaaS (targeting $100K ACV clients) and pay-per-lead arrangements. Technical and operational work will focus on robust scrapers, provenance tracking, human-in-the-loop verification and a legal/compliance layer for state-by-state rules. This market is primed now because more court dockets and tax records are online, institutional capital is moving into distressed tax-lien strategies, and modern OCR/NLP materially lowers manual cost; those trends justify the high Market and Revenue scores but also correspond to medium competition. To stand out you should specialize in commercial assets, develop a proprietary multi-factor scoring model (delinquency severity, lien priority, physical risk and local sale timing), secure early municipal data partnerships and offer SLA-backed lead quality; the project is worth pursuing if you can assemble a scrapers/ML/legal team and sign 5–10 pilot customers to validate $100K ACV, but be candid that ongoing maintenance and regulatory risk are the largest operational burdens.

Market Opportunity

Find tax‑delinquent commercial properties fast — AI scraping + scoring targets a $8.0B = 80,000 professional real-estate investors/municipal buyers x $100K ACV total addressable market with medium saturation and a year-over-year growth rate of 12-18% (data & analytics spend in CRE + distressed-asset investing).

Key trends driving demand: public-record-digitization -- more court dockets and tax records are available online, reducing acquisition cost and enabling automated pipelines.; institutionalization-of-distressed-deals -- funds and family offices increasingly buy tax-lien portfolios, raising demand for higher-quality deal flow.; ai-driven-document-parsing -- modern OCR/NLP dramatically reduces manual effort to extract actionable leads from PDFs, images and spreadsheets..

Key competitors include ATTOM Data Solutions, PropStream, REonomy, ForeclosureRadar / Auction platforms (adjacent), County public records / title companies (workaround).

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Find tax‑delinquent commercial properties fast — AI scraping + scoring

Executive Summary

Market Validation

Market Opportunity

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