Transforming Title Searches with AI
The AI Abstract Tool leverages cutting-edge artificial intelligence to streamline the traditionally manual and time-consuming process of title searches. By automatically parsing deeds, mortgages, liens, and other pertinent documents, the tool arranges all information by recorded date, offering a clear and concise property history.
“Our AI Abstract Tool is set to redefine the standards of efficiency and accuracy in the title insurance industry,” said Mike Gigliotti, CEO of TitleTrackr. “By automating data extraction and organization, we’re enabling professionals to focus more on analysis and client service, rather than manual data extraction and entry.”
Allied American Abstract: A Success Story
Allied American Abstract Corporation, a prominent title company based in Utica, New York, has already integrated TitleTrackr’s AI Abstract Tool into their operations. The adoption has resulted in significant improvements in efficiency, accuracy, and cost savings.
Key Features and Benefits
- Automated Data Extraction: Quickly processes various title documents to extract relevant information.
- Chronological Organization: Arranges all extracted data by recorded date, providing a clear property history.
- Enhanced Accuracy: Reduces human error by automating the data extraction process.
- Time and Cost Efficiency: Significantly cuts down the time and resources required for traditional title searches.
Experience the Future of Title Searches
TitleTrackr invites title agencies and professionals to experience the benefits of the AI Abstract Tool firsthand. Interested parties can schedule a free trial or request a demo by visiting TitleTrackr’s website.
About TitleTrackr
TitleTrackr is at the forefront of innovation in the real estate title insurance and abstract industry, offering advanced solutions that enhance efficiency, accuracy, and client satisfaction. With a commitment to leveraging technology to solve industry challenges, TitleTrackr continues to develop tools that empower professionals and transform traditional processes.