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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Manual review of customer contracts to determine revenue accounting impact can be time-consuming and painful. Each contract requires that accountants spend hours creating and populating new contract review lists with metadata, dates, fees, and non-standard terms. This is time that could be used to innovate processes. Klarity automates all aspects of this process. Klarity pre-populates a checklist to automatically review all contracts. The application includes all the necessary tools to review contracts and provide notifications, accounting impact, notes, as well as an automated workflow. Klarity allows organizations to focus on strategic value by focusing on analysis and audit documentation, rather than the tedious manual work. For a smoother contract review process and a quicker month-end close, create customized workflows for the first- and second-level reviewers.

Description

The insurance sector focuses on achieving optimal rates and effectively managing risk. In such a competitive landscape, reducing manual processes is essential to distinguish ourselves from other industry players. A significant workforce is often necessary to sift through, interpret, categorize, analyze, and disseminate information for underwriting and support activities. Much of this information is unstructured and text-based, requiring manual examination. Scaling operations typically involves hiring additional personnel or resorting to outsourcing solutions. It is vital to filter and classify complaints based on their subject matter and severity level. Automotive businesses collect these complaints through various channels, including emails, feedback forms, and comments. Lymba’s Underwriting and Support NLP solution addresses the text-heavy challenges by converting data into actionable insights; this efficiency not only saves time and resources but also facilitates the initial review process, ultimately enhancing overall productivity and decision-making. By leveraging such technology, companies can focus more on strategic initiatives rather than getting bogged down by manual data handling.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon WorkDocs Yes 
NetSuite Yes 
Oracle Fusion Cloud ERP Yes 
SAP ERP Yes 
Salesforce Yes 
Workday Financial Management Yes 

Integrations

Amazon WorkDocs No 
NetSuite No 
Oracle Fusion Cloud ERP No 
SAP ERP No 
Salesforce No 
Workday Financial Management No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Klarity

Founded

2017

Country

United States

Website

www.tryklarity.com

Vendor Details

Company Name

Lymba

Founded

2005

Country

United States

Website

www.lymba.com

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Product Features

Data Extraction

Disparate Data Collection No 
Document Extraction No 
Email Address Extraction No 
IP Address Extraction No 
Image Extraction No 
Phone Number Extraction No 
Pricing Extraction No 
Web Data Extraction No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Alternatives

Alternatives

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