Real estate transactions depend heavily on property records, ownership verification, title searches, and legal documentation. Before properties can be sold, refinanced, or insured, title professionals often need to examine large volumes of historical records connected with ownership transfers, liens, easements, taxes, judgments, and other filings. Many of those records remain scattered across county offices and disconnected databases throughout the United States, making searches slow and labor-intensive. Dono was created to simplify those workflows through AI-powered property records technology built for title companies, underwriters, lenders, mortgage servicers, and real estate professionals.

Founded in 2023, Dono develops software that helps businesses collect, organize, extract, and analyze property records through automation and AI-driven systems. The company describes the platform as a modular property records infrastructure designed for title and underwriting workflows. Rather than relying entirely on manual searches and fragmented county systems, businesses using Dono can manage property records through centralized digital tools designed for large-scale document analysis and title production.

The company entered the real estate technology sector during a period when many title professionals were searching for faster ways to manage document-heavy operations. Property ownership verification still depends heavily on local government systems-built decades ago, many of which remain difficult to search efficiently. Dono develops software designed to reduce repetitive operational work connected with title production, document indexing, report generation, and underwriting analysis.

Property Records Create Operational Challenges

Property records remain one of the most fragmented parts of the real estate industry. Ownership documents and county filings are often stored across thousands of local systems using different formats, filing methods, and search structures. Title professionals frequently spend hours retrieving records, reviewing documents, entering information manually, and organizing findings into underwriting reports.

Dono focuses heavily on simplifying that process through AI-powered automation. The platform collects data from county systems, title plants, and customer databases while organizing information into searchable digital records. According to the company, the software can extract and index large volumes of property information automatically, reducing the need for repetitive manual data entry and document review.

The company states that the platform can process more than 1,700 records per hour while helping businesses complete title searches within a few hours rather than several days. Human verification still remains part of the workflow because title operations require high levels of accuracy for underwriting and ownership validation. Dono frequently discusses the balance between AI automation and expert review throughout company messaging.

Title production also involves repetitive operational work that becomes difficult to scale as transaction volumes grow. Businesses handling large numbers of title searches often rely heavily on staffing-intensive workflows and outsourced labor for document review and indexing. Dono develops automation systems designed to help organizations manage larger workloads through AI-powered extraction, organization, and analysis tools.

The company also supports title plant management, allowing businesses to maintain searchable databases of historical property records with less manual maintenance. Searchable title plants remain important because title companies rely heavily on historical ownership data during underwriting and property verification workflows.

AI Software Simplifies Title Production

Title production often involves several stages, including document retrieval, property searches, underwriting review, commitment generation, and report formatting. Many businesses still rely on disconnected systems and manual operational workflows to complete those tasks. Dono addresses those problems through AI-powered software designed specifically for title operations and property records analysis.

The platform supports data collection across county systems, title plants, and customer databases. AI systems then extract relevant information from property records and organize the data into searchable formats. The company also developed underwriting intelligence tools designed to analyze title information according to customer requirements and underwriting standards.

Report generation forms another major part of the platform. Title commitments and underwriting reports often require extensive formatting and document preparation before delivery to customers or insurers. Dono automates much of that process by organizing extracted data into structured digital reports that businesses can integrate into existing workflows.

The company also developed “Ask Dono,” a feature that allows users to examine title questions and underwriting issues through natural language searches. Rather than manually reviewing large amounts of property documentation, professionals can interact with title information through AI-powered search functionality designed for title industry terminology and workflows.

Integration also plays an important role within the platform. Dono supports API connections, direct platform access, and file exchange systems that allow businesses to integrate property records workflows into existing operations without replacing internal infrastructure entirely. That flexibility appeals particularly to title agencies, underwriters, lenders, and mortgage servicing companies managing large transaction volumes.

Operational efficiency remains a major focus throughout company messaging. Many title businesses still depend heavily on fragmented systems and repetitive workflows that create inconsistent turnaround times. Dono develops centralized infrastructure designed to simplify title operations through AI-powered automation and digital organization.

Founder Vision Shapes Product Development

Dono was founded by real estate technology professionals seeking to modernize how property records are managed across the real estate industry. Company leadership frequently discusses the fragmented nature of county-level property systems and the operational difficulties connected with title searches and underwriting workflows.

The company describes property records infrastructure as one of the least digitized parts of the real estate sector, despite real estate representing one of the world’s largest asset categories. Ownership verification still depends heavily on county-level systems and manual operational work that slows transactions across the United States.

Dono also presents artificial intelligence as a support system for title professionals rather than a replacement for human expertise. Human verification remains important because title work involves legal documentation, underwriting standards, and ownership analysis, requiring high levels of accuracy. Company messaging frequently references human review alongside AI-powered extraction and analysis systems.

The company’s branding focuses heavily on speed, workflow organization, and operational simplicity for title professionals. Dono states that many organizations still rely on fragmented software, manual research, and outsourced operational processes that slow property transactions and title production workflows. The platform was developed to simplify those processes through a centralized AI infrastructure.

The company also reflects larger changes taking place across real estate technology and business automation. Artificial intelligence is now being adopted across industries involving large amounts of document analysis, repetitive operational work, and fragmented data systems. Property records and title operations represent one of the newest areas where AI-powered automation is gaining traction.

Real Estate Technology Adoption Expands

Demand for AI-powered business software continues to grow across industries as organizations search for faster ways to manage operational workflows and large amounts of data. Real estate technology has become one of the sectors experiencing stronger interest in automation because property transactions often involve document-heavy processes and fragmented records systems.

Dono operates within that growing category by developing AI-powered infrastructure focused on property records, title searches, underwriting workflows, and document analysis. According to the company, title insurers, lenders, mortgage servicers, and real estate investment firms already use the platform to manage property data and title production more efficiently.

Investor interest in property technology companies has also grown as businesses search for software capable of modernizing outdated operational systems across the real estate industry. Dono announced a $6.5 million seed funding round led by Link Ventures with participation from other technology investors. The company stated that the funding supports geographic expansion, additional automation capabilities, and further product development connected with property records infrastructure.

The company also plans to expand county-level property coverage across additional regions throughout the United States. Property ownership information remains fragmented across more than 3,700 county systems nationwide, creating operational challenges for businesses managing transactions at scale. Dono develops technology designed to organize and modernize access to those records through AI-powered infrastructure and automated data systems.

From title searches to underwriting analysis, Dono reflects how artificial intelligence is changing operational workflows across the real estate industry. By focusing on property records, document extraction, underwriting intelligence, and workflow automation, the company has built a growing presence within the PropTech sector while helping title professionals simplify labor-intensive property research and ownership verification processes.

Tali Gross, CEO, Dono