Leveraging AI to identify and extract data from electronic mortgage documents.

ArmorDoc's superior AI converts your documents into usable data at scale with accuracy and speed.

ArmorDoc Explainer Video
Play Video

Click on the video above to learn more

About

The mortgage industry remains one of the largest, most antiquated, industries on the planet earth. We could no longer just sit back letting other humans charge you hand over fist for less than subpar services.

That's why we created ArmorDoc! Us humans, along with aliens, teamed up to solve the biggest pain point in the mortgage industry today, documents. We classify, organize and extract data from messy mortgage documents allowing you to focus on originating, purchasing and servicing more and more loans with less and less pain because, well, why not?

So come join us for a pain free journey into our universe to solve this messy Earth issue.

Keep on scrolling down to find out more!

 
 

How We Help

  • We take care of all your document related heavy lifting so you can focus on the important stuff 

  • We put an emphasis on accuracy, paying close attention to detail

  • We provide transparency such as missing, signed and stamped documents

  • We deliver results fast, at scale

  • We cater to your needs and seamlessly integrate into your workflow with minimal, to zero, disruption

  • We've even built a document management system for you so you can easily find all your documents quickly

  • To sum it up, we are here to help you!

aramr.png
TrT0ouzw2s.jpg

Our Services

document scan.png

We ingest loan packages in bulk, process them through our proprietary document machine learning pipeline which results in the identification, classification and collation of each mortgage document. The result of which is a fully bookmarked PDF file and a missing document report.

Document Recognition

We ingest loan packages in bulk, process them through our proprietary document machine learning pipeline which results in the identification, classification and collation of each mortgage document. The result of which is a fully bookmarked PDF file in a custom stacking order and a missing document report.

Various deep learning and computer vision models have been trained to extract key data points from various documents with a high level of precision. These data points are then compared to each other to determine the final data points and to any external data files provided.

extract.png
Data Extraction
signature.png

Computer Vision models are used to confirm the existence of signatures to verify documents have been executed.

Signature & Stamp Recognition
File Management.png

Custom document management system to store, organize and locate your documents in a secure, user-friendly web application.

Document Management System
 
64e7S9QZfm (1).jpg

Industry

Primary and Secondary Residential Mortgage Market

Clients

Banks, Broker/Dealers, Custodians, Hedge Funds, Investment Banks, Lenders/Originators, Portfolio Managers, Servicers

Loan Types

Agency, Jumbos, MSRs, Non-QM, NPLs, Reverse Mortgages, RPLs, Qualified Mortgages

Use Case Examples

Buyside: assist in upfront due diligence to quickly identify document and data issues to reduce risk

Custodians: expediate the collateral review process to quicky identify missing documents

Lenders/Originators: extract data from origination and borrower documents to upload into LOS

Portfolio Managers: assist in the disposition of assets to make more informed hold/sell/securitize strategies

Reverse Mortgages: seamless file preparation for HUD endorsements

Servicers: extract data from borrower documents to seamlessly onboard new loans onto your servicing platform

 

Our Technology

  • Sophisticated: we combine deep learning and computer vision to build and train models specfic for mortgages

  • Modular: built in modular blocks so individual components can be assembled together into a workflow which meets your business process needs

  • Continuous Learning: assisted by human-in-the-loop feedback, the accuracy of our models are constantly evolving

  • Generalizable: our models can be applied across all loan and document types

  • Integrations: we are able to connect to your system of record to deliver results via API capabilities

  • Document Management: our client portal stores your documents and data in a user-friendly web application

Artificial%2520intelligence%2520industry
 

Team

 
pink.png
Mike Hartman

CEO and Co-Founder

15+ years of experience in the secondary residential mortgage industry with a focus on data management and due diligence. 

Prior work experiences consist of VP of Data, Senior Account Executive and Senior Product Specialist at the likes of JP Morgan, Allonhill and dvo1, respectively. 
 

brandom.png
Brandon Joseph, PhD

CTO and Co-Founder

10+ years as a Data Scientist with a focus on Machine Learning. Ran a large team of Data Scientists at a nationwide health insurer with a focus on predictive analysis and artificial intelligence. 

Obtained PhD from U of Maine with emphasis on quantitative methods and former faculty member at U of South Carolina.

Masters in Applied Data Science from the University of Syracuse. Yuwen focuses on building and training machine learning models with a specialization in Natural Language Processing.

yuwen.png
Yuwen Hsieh 

Data Scientist 

Masters in Applied Data Science from the University of Syracuse. Yuwen focuses on building and training machine learning models with a specialization in Natural Language Processing.

tom.png
Tom Bishop, PhD

Investor/ Advisor 

Computer vision, Machine Learning and Data Science expert with 10+ years of industry experience at Apple and several startups.

PhD in signal/image processing, U of Edinburgh. Masters of Engineering. Cambridge. 

wdksfh asdk.png
Guy Shechter, PhD

Chief Architect

Guy has a PhD in Biomedical Engineering from Johns Hopkins University and was previously the Head of Innovation Strategy at Philips. 

After 15 years in corporate leadership, he's transitioned to a more hands-on environment focusing on creating value from data, using the latest advances in cloud computing, analytics and machine learning algorithms.

ffdas fkdsaijhfdsda fkn.png
Matt Pitman

Data Scientist

Graduate from Rhode Island with a concentration in Computer and Data Science. Matt's focus is primarily with building data extraction models, however, is always willing to roll up his sleeves to dive into solving any problems.

Former Intern at ArmorDoc

SBcQ5n81lp.jpg
1st Ver Horizontal.png

Contact Us

Locations: 

East: New York City

West: San Francisco and Seattle

Thanks for submitting! A human, or an alien, will be in touch with you within the next 24 hours!