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What is Tungsten Mobile Capture?

Tungsten Mobile Capture employs proprietary technologies for image processing and on-device optical character recognition (OCR) that automatically capture, extract, and validate data from physical documents. This groundbreaking solution eliminates the need for manual data entry, providing a quick and seamless experience for users. It boosts customer engagement across numerous touchpoints and enables service delivery through preferred communication channels. By incorporating right-channeling capabilities alongside detailed analytics, organizations can effectively enhance the customer journey. Furthermore, it supports problem resolution at any stage through integrated platform management, ensuring a cohesive experience. This technology is versatile enough to expand into new customer interaction applications such as onboarding, bill payments, and mortgage processing. Additionally, it allows customers to interact with your business systems by embedding powerful data extraction and interactive validation features directly within mobile applications. As a result, this solution not only significantly enhances operational efficiency but also greatly enriches the overall customer experience. In essence, the capabilities of Tungsten Mobile Capture position businesses to adapt and thrive in an increasingly digital landscape.

What is Ocrolus?

Transform your back office processes by implementing automation that harnesses the power of artificial intelligence alongside crowdsourced insights. Effortlessly retrieve and analyze data from any image with an impressive accuracy rate exceeding 99%, independent of its quality. The method of data retrieval has never been more user-friendly. You can seamlessly interpret images in your preferred format, allowing for greater flexibility. Ocrolus merges the speed of machines with the discerning eye of human quality control experts to guarantee outstanding accuracy. Protect your data with state-of-the-art security measures akin to those utilized by financial institutions, complemented by a thorough audit trail. Eliminate the hassle of labor-intensive manual reviews and monotonous comparisons. Evaluate financial health effectively by leveraging bank data and cash flow analytics. Accurately determine income for individuals across diverse employment scenarios. Effortlessly extract and confirm address information from all document types while swiftly accessing employment details from multiple sources. Validate and establish identity through various document formats without difficulty. Furthermore, enhance the Ocrolus platform to foster innovation and streamline customer interactions, leading to a more seamless and effective experience for users. This modernization not only enhances productivity but also significantly elevates customer satisfaction, creating a win-win situation for both the business and its clients. Embracing these advanced solutions will prepare your organization for future challenges while ensuring it remains competitive in a rapidly evolving market.

Media

Media

Integrations Supported

Tungsten Capture
Tungsten MarkView

Integrations Supported

Automation Anywhere
LendingFront
Plaid
UiPath
Unqork

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Tungsten Automation

Date Founded

1985

Company Location

United States

Company Website

www.tungstenautomation.com/products/mobile-capture-platform

Company Facts

Organization Name

Ocrolus

Date Founded

2014

Company Location

United States

Company Website

www.ocrolus.com

Categories and Features

OCR

Not specified

Categories and Features

Data Extraction

Not specified

Document Management

Not specified

Fraud Detection

Not specified

OCR

Not specified

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