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Doculy

Doculy provides an AI‑driven platform that automates the Low‑Income Housing Tax Credit (LIHTC) site selection process. Users can search an interactive map for pre‑vetted parcels and receive instant eligibility scores, zoning data, and property details that reflect current state guidelines, with exportable reports for due‑diligence. The solution speeds acquisition, reduces errors, and expands developers’ pipeline of affordable‑housing projects.

Atlanta, United StatesFounded 2024550+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Developers of Low Income Housing Tax Credit (LIHTC) projects must manually research parcels, interpret constantly changing state guidelines, and calculate eligibility scores, which is labor‑intensive, error‑prone, and slows the acquisition process. This manual workflow limits the number of sites that can be evaluated and reduces the likelihood of securing high‑scoring parcels before competitors.

Solution

Doculy delivers an AI‑driven platform that automates the end‑to‑end LIHTC site selection workflow. Users query an interactive map to surface pre‑vetted parcels that meet the latest state‑specific eligibility criteria. The system instantly generates a detailed LIHTC score, zoning classification, and property data for each parcel, allowing developers to compare opportunities side‑by‑side. By continuously updating its scoring engine with current guidelines, the platform eliminates guesswork and reduces the time required to assess hundreds of sites. The result is faster acquisition of high‑scoring locations, higher success rates in winning tax credits, and a larger pipeline of affordable‑housing projects.

Target Audience

The primary users are affordable‑housing developers and sponsors who build LIHTC projects, as well as financing partners and consultants that evaluate site eligibility for low‑income housing initiatives.

Features

  • AI‑powered search interface that filters parcels based on real‑time, state‑specific LIHTC eligibility rules
  • Automated scoring engine that calculates LIHTC credit potential, zoning compliance, and property attributes in seconds
  • Multi‑state coverage with a unified database of pre‑vetted, high‑scoring parcels across all participating jurisdictions
  • Interactive map visualization that displays parcel locations, scoring components, and key data layers for rapid comparison
  • Detailed breakdown of scoring factors to support due‑diligence and documentation for credit applications
  • Continuous guideline updates ensuring that scores reflect the latest regulatory changes without manual re‑entry
  • Exportable reports and data feeds that integrate with developers’ project management and acquisition workflows
This profile is AI-generated and may contain inaccuracies.