Supports any mortgage process or function that relies on heavy document processing.
Combines AI, machine learning, intelligent automation and business rules to accelerate accurate document-to-data extraction.
Eliminates manual document interventions for cost reduction and productivity gains
Offers fully automated indexing with a bi-directional LOS integration, eliminating the manual upload/download docs.
Tested against thousands and thousands of files, IDXGenius | ai drives even greater data accuracy, reducing risk at every step.
Expedites document‑to‑data processing while enabling your mortgage associates to focus on higher value tasks.
There is a conversation I find myself having more often these days. A mortgage operations leader will tell me they have automated their document workflow. They have invested in technology. Loans are moving.
Mortgage lending in 2026 is an industry caught between what AI-powered mortgage underwriting can do and what most lenders have actually gotten it to do.
The mortgage industry has spent years talking about automation and AI. But if you walk into the average lender’s operation today,
IDXGenius | ai was initially built using traditional Optical Character Recognition (OCR) technology. Over time, it has evolved to incorporate advanced, industry-leading technology components such as AWS Textract and Google’s Tesseract. Additionally, IDXGenius | ai leverages machine learning (ML) algorithms to learn and recognize variations in document types, continuously improving its accuracy and efficiency.
Yes, IDX, the tech component backing Indecomm’s Genius suite of technology and automation, was recognized as the “Best Innovation Using AI/ML” at the Amazon Web Services (AWS) AI Conclave in 2023.
Yes, IDXGenius | ai has an ICE-certified integration with Encompass, facilitating a “Lights out” mode transfer of documents without requiring human intervention. Additionally, Indecomm’s SourceConnect (a part of Indecomm’s Genius tech stack) serves as a connectivity hub that can be configured to integrate with any other source system for data and document exchange. We assess the lender’s technology to provide tailored integration solutions. IDX is also a core component of Indecomm’s Genius tech stack which powers many of its own Genius technologies.
IDXGenius | ai supports a variety of loan products, including:
However, non-QM products, which often contain a high number of non-standard documents (such as bank statements or DSCR), may result in higher manual exceptions. Indecomm will handle these exceptions and deliver the indexed files back into the LOS without requiring lender intervention.
IDXGenius | ai is trained on a large dataset of mortgage documents, covering numerous variations. When new formats or variations arise, we update the model within a few days. Our team also tracks changes to standard forms, such as the 1003, 1008, LE, CDs, and tax returns, and integrates updates promptly. While we aim to handle accuracy monitoring entirely, we welcome client feedback to further enhance the system.
Over the past 8 years, we’ve continually refined our automation technology to enhance its effectiveness. After testing various solutions, we partnered with AWS, which significantly improved data extraction accuracy and allowed us to train models on a large dataset of mortgage-specific documents. Our dedicated automation team continuously works on optimizing components through ongoing improvement initiatives to ensure accuracy and reliability.
Over the past 8 years, we’ve continually refined our automation technology to enhance effectiveness. Partnering with AWS allowed us to achieve significant improvements in data extraction accuracy and train models on a large dataset of mortgage-specific documents. We also implement advanced techniques to boost accuracy and maintain a continuous improvement initiative, with a dedicated team optimizing our automation components regularly.
IDXGenius | ai ensures accuracy using confidence scoring and multiple validation techniques:
When IDX detects low confidence or uncertainty, it flags the affected fields for review. Here’s how it works:
In this process, documents or fields with low confidence are handled by the data quality team, ensuring consistent refinement and accuracy.
Over the past 8 years, we’ve continually refined our automation technology to enhance effectiveness. Partnering with AWS allowed us to achieve significant improvements in data extraction accuracy and train models on a large dataset of mortgage-specific documents. We also implement advanced techniques (such as proprietary Machine Learning models) to boost classification accuracy and maintain a continuous improvement initiative, with a dedicated team optimizing our automation components regularly.
