Ephesoft Unveils Mortgage Document Capture Solution

Now that spring has arrived, families across the country have started the home buying process. However, the average time it takes to close on a house is 50 days, making it a long road to home. Aiming to speed things up, document capture and data analytics company Ephesoft launched Ephesoft Transact for Mortgage this week. This is the California-based company’s first vertical-specific product offering.

The cloud-based platform recognizes and classifies more than 600 mortgage document types. When lenders bundle Ephesoft Transact for Mortgage classification solution with the Ephesoft Transact flagship offering, they can increase mortgage processing speeds. In a statement, Ephesoft said that large organizations will see deployment times reduced by 80%, from several months to just weeks.

Ike Kavas, founder and CEO of Ephesoft, said that the company’s mortgage lendeing and financial services customers will “greatly benefit from the improved speeds provided by the Transact for Mortgage platform.” Kavas added, “We are continuously developing innovative, cost-effective solutions that solve real problems for our customers and with hundreds of different document types to classify, the mortgage processing industry is ideally suited for document capture innovation and automation.”

To get started, mortgage loan processors upload loan documents into a batch, then Ephesoft Transact for Mortgage automatically classifies and separates documents and exports them into the lender’s loan origination system. The system takes appraisal documents, lease agreements, tax returns, bank statements, and other documents necessary in mortgage applications, and deciphers which pages are necessary and which are simply blank pages, cover sheets, invoices, and disclosures. Once documents are classified, the high-value pages are prepared for data extraction and business insights, with the option to apply Ephesoft’s machine learning technology for further analysis.

In the press release, Ephesoft client, Jane Christie, COO of eDocument Solutions, said, “Customers have reported accuracy reports of 90% or higher, loan processing time reduction of 92% and savings of over $100 per loan. The combination of accuracy, consistency and speed for mortgage documents impacts their bottom line and improves customer satisfaction and retention rates.”

At FinovateAsia 2017, Ephesoft demoed how banks can use its cloud services to classify documents, extract their information, and automate business transactions. Last summer, the company earned a $15 million investment from Mercato Partners, its first round of funding since it was founded in 2010. In the fall of 2017, Ephesoft’s developers released version 4.0 of its Transact Mobile SDK.

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Ephesoft Unveils Transact Mobile SDK 4.0, Leveraging Deep Learning to Create Clearer Images

Document capture and analytics solution developer Ephesoft released version 4.0 of its Transact Mobile SDK this week. The latest version of the technology takes advantage of innovations in everything from deep learning to mobile architecture to give consumers more accuracy and flexibility when it comes to document capture with their mobile devices.

Ike Kavas, Ephesoft CTO, highlighted the way the enhancements paved the way for better, easier-to-read images. “For example, deep learning is employed in our live-edge detection functionality that has historically been a challenge for identifying document boundaries on mobile devices,” Kavas explained. “This new approach captures clearer images.” Deep learning provides a better solution than typical bitonal image recognition because deep learning has predictive capabilities. The system is able to predict edges, for example, which along with the ability to extract text and numbers, makes it ideal for credit card recognition.

(left to right): Alastair Allars (Success Engineer) and Ike Kavas (CTO) demonstrating Ephesoft Transact Cloud Service at FinovateAsia 2017 in Hong Kong.

Ephesoft’s Transact Mobile SDK 4.0 also includes image auto-capture and auto-alignment, making images scanned by mobile devices comparable to those created by topline scanners. Online and offline batch processing enables users to do character recognition, document classification, and data extraction when offline. Version 4.0 also features security enhancements such as a private directory for storing images temporarily when using mobile devices (the directory is erased when the application is closed). The solution uses ARM 64-bit architecture to improve memory capacity for more powerful processing, and also includes image enhancement tools, simple barcode interpretation, and on-device OCR.

Founded in 2010 and headquartered in Laguna Hills, California, Ephesoft demonstrated its Ephesoft Transact Cloud Service at FinovateAsia 2017 earlier this month. The company has raised $15 million in funding, completing a Series A round led by Mercato Partners in August. Also in August, Ephesoft announced that New Zealand’s Motor Trade Finance (MTF) would use Ephesoft’s Transact platform. An Inc. 500 company with customers in more than 30 countries. Ephesoft released its analytics and business intelligence platform, Insight 3.1, in October. Don Field is CEO.

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Ephesoft Earns $15 Million Investment from Mercato Partners

Document capture and data analytics company Ephesoft landed $15 million in Series A funding from Mercato Partners. This marks the company’s first round of funding since it was founded in 2010.

“Mercato’s investment will help Ephesoft realize its vision of liberating meaning through machine learning technology,” said Ike Kavas, Ephesoft’s founder. “We view Mercato as a long-term strategic partner, and we appreciate their experience in helping visionary technology companies accelerate and manage growth. This funding will enable Ephesoft to help organizations improve business outcomes by identifying and rationalizing dark data, then understanding how it impacts their business.”

Ephesoft’s cloud-based, machine learning technology generates insights from unstructured content by capturing, extracting, and analyzing raw data for its 500 customers that operate in a variety of sectors ranging from financial services, Federal government, insurance, mortgage and healthcare. At FinovateSpring 2017, the company demoed how its platform can be used to comb through international transaction data to identify and catch money launderers.

(pictured left to right): Ike Kavas (CTO)and Alex Welsh (Vice President, Analytics Practice) at FinovateSpring 2017

The California-based company will use the investment to accelerate product development and expand operations, market presence, and sales. As a part of the investment, Joe Kaiser Principal at Mercato Partners, will join Ephesoft’s Board of Directors.

In a press release, Kaiser said:

“Organizations are struggling with the enormous volume of unstructured content, which represents upwards of 80% of all available content, and is growing at a rate of 43% per year. To provide tangible value, that information needs to be processed and analyzed. Ephesoft’s solutions are disrupting the advanced capture market with a definitive value proposition: apply machine learning to convert these unstructured information streams and repositories into actionable data.”

Earlier this month, the company announced the availability of its cloud services on Microsoft Azure. In June, Ephesoft established its Asia Pacific offices in Sydney, Australia. The company was named to the 2015 Inc. 500 list of the fastest growing companies in America and has recently received a patent for its machine learning technology.

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Ephesoft Enables Companies to Leverage Unstructured Data into Better Decision-Making Processes

EphesoftThis post is part of our live coverage of FinovateFall 2015.

Making their way to the stage is Ephesoft.

Ephesoft Universe mines document-stores for information that can be charted, graphed, studied, and compared to help users make better financial decisions. It is the first application to leverage big data tools like Hadoop and Spark to classify documents and extract meaning from them, allowing companies to incorporate unstructured data into decision-making processes. Ephesoft Universe takes access to and manipulation of these vast information streams out of the hands of data scientists and onto the desks of business and financial analysts.

Presenters: Director of Marketing Tim Dubes and CTO Ike Kavas

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Product launch: September 2015
Product distribution strategy: Direct to business (B2B); through other fintech companies and platforms, licensed

HQ: Laguna Hills, California
Founded: November 2010
Website: ephesoft.com
Twitter: @Ephesoft