Dono provides an AI‑powered platform that automates title searches by continuously crawling U.S. county registries and title plant databases, extracting and normalizing records with OCR and NLP. The system applies configurable underwriting rules and a human‑in‑the‑loop verification step, delivering complete title reports via secure APIs and a searchable UI within hours.
Funding
$3.7M 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.
LVFounders
Product
Problem
Title searches and underwriting workflows rely on manually aggregating public records from disparate county offices and title plants, a process that is time‑consuming, error‑prone, and often stretches over several days before a decision can be made.
Solution
Dono delivers an AI‑powered property records intelligence platform that automates the end‑to‑end title search process. The system continuously crawls county registries and title plant databases, extracts and normalizes documents using OCR and natural‑language processing, and indexes the data in a cloud‑native repository. Encoded underwriting rules are applied automatically, while a human‑in‑the‑loop verification step ensures compliance and resolves edge cases. Results are exposed through secure APIs and a searchable web UI, enabling lenders and insurers to obtain complete title reports within hours instead of days. The platform also provides audit logs and versioned data to support regulatory reporting and risk management.
Target Audience
Primary customers are mortgage lenders, title insurers, and real‑estate underwriting teams that require rapid, reliable title searches, as well as proptech platforms seeking to embed automated property record intelligence into their workflows.
Features
- Scalable data ingestion engine that harvests public records from >1,000 U.S. counties and multiple title plant sources in near‑real time
- OCR/NLP pipeline that extracts key deed, lien, and ownership attributes with >95% accuracy
- Rule‑based underwriting engine configurable via a low‑code policy editor, applying encoded criteria to the extracted data
- Human‑in‑the‑loop verification workflow that flags low‑confidence matches for expert review before finalization
- Cloud‑native searchable index with RESTful API and SDKs for seamless integration into loan origination and title insurance systems
- End‑to‑end encryption, role‑based access control, and immutable audit trails to meet data‑privacy and compliance standards
- Dashboard analytics that surface search latency, data completeness metrics, and trend insights for operational monitoring