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What is QoreMail?

QoreMail is an advanced automation solution crafted for effective communication management. This state-of-the-art tool utilizes existing channels while facilitating the creation of new pathways, streamlining low-value business processes that require no human intervention, thus enabling your team to concentrate on more significant tasks. By scrutinizing both structured and unstructured data, QoreMail swiftly transforms it into actionable and pertinent information with remarkable precision. Consequently, you can greatly improve the productivity of your core operations while reducing operational costs, frequently achieving a return on investment in under a year. Additionally, QoreMail skillfully evaluates incoming communications to pinpoint and extract essential information relevant to your business, such as account numbers, project identifiers, file references, product specifics, invoice details, order information, key dates, and personnel names, among other crucial data points. Ultimately, this tool not only enhances operational efficiency but also equips organizations with the insights necessary for rapid decision-making in a fast-paced environment. With its robust capabilities, QoreMail positions companies to adapt swiftly to changing demands and capitalize on new opportunities.

What is Lymba?

The insurance industry prioritizes the attainment of competitive rates while effectively overseeing risk management. In a market where competition is fierce, it is crucial to minimize manual tasks to set ourselves apart from other companies in the field. A considerable workforce is often required to sift through, interpret, categorize, analyze, and distribute information relevant to underwriting and support functions. Much of this data is unstructured and primarily text-based, necessitating manual scrutiny. To scale operations efficiently, firms frequently find themselves either hiring more staff or opting for outsourcing solutions. It is essential to filter and categorize complaints according to their subject matter and severity. Automotive companies gather these grievances through a variety of means, such as emails, feedback forms, and customer comments. Lymba’s Underwriting and Support NLP solution tackles the challenges posed by text-heavy data by transforming it into actionable insights; this not only streamlines processes but also accelerates the initial review, thereby boosting overall productivity and decision-making. By utilizing such innovative technology, organizations can direct their efforts toward strategic projects instead of being overwhelmed by manual data management tasks. Embracing automation allows for a more agile response to market demands while enhancing the customer experience.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Coginov

Date Founded

2002

Company Location

Canada

Company Website

www.coginov.com/en/qoremail/

Company Facts

Organization Name

Lymba

Date Founded

2005

Company Location

United States

Company Website

www.lymba.com

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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