Skip to main content
TS

Tire Swing

Tire Swing provides AI‑powered document intelligence for affordable‑housing income certifications, automatically extracting data from paystubs, tax forms, and lease documents and validating it against HUD, LIHTC, PBRA and other program rules. The platform generates structured findings with source citations, suggests next steps, and can request missing documents or e‑signatures, integrating with existing workflows and policies.

Founded 20252200+ followers
Updated 1 month ago

Funding

$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Affordable‑housing providers must manually review extensive tenant income documentation—paystubs, W‑2s, asset statements, and more—to verify eligibility under complex HUD, LIHTC, PBRA, and other program rules. This manual process is time‑consuming, error‑prone, and often leads to delays or missing‑document requests that slow certification cycles.

Solution

Tire Swing offers an AI‑driven document‑intelligence platform that automatically extracts required data from tenant income documents and validates each value against the specific rules of HUD, LIHTC, PBRA, HCV, HOME, and custom program policies. The system generates structured findings with source citations, flags missing or inconsistent information, and suggests next steps, enabling staff to complete certifications faster and with higher accuracy. Integrated workflow tools can automatically send requests for additional documents, clarifications, or e‑signatures, keeping the certification process moving without manual hand‑offs. By encoding the rulebooks of multiple affordable‑housing programs into a single platform, Tire Swing provides a unified source of truth for eligibility decisions across diverse portfolios.

Target Audience

Primary users are compliance officers, eligibility specialists, and property‑management teams at affordable‑housing developers, nonprofit housing agencies, and public‑housing authorities that manage HUD‑linked programs.

Features

  • AI extraction of key fields from paystubs, W‑2s, social‑security letters, asset statements, applications, TICS, and lease documents
  • Real‑time validation of extracted values against current HUD, LIHTC, PBRA, HCV, HOME, and property‑specific regulations
  • Structured output that includes source citations and automated suggestions for next actions
  • Automated generation of missing‑document and clarification requests, including e‑signature collection
  • Configurable support for any combination of affordable‑housing programs, with custom rule encoding on demand
  • Integration points for existing certification workflows and document management systems
This profile is AI-generated and may contain inaccuracies.