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What is KlearStack?

KlearStack revolutionizes invoice processing by utilizing an automated system that does not rely on templates, thereby removing the burdensome chore of manually handling unstructured documents. Our goal is to simplify labor-intensive manual tasks and data entry, allowing individuals to focus on more innovative and strategic endeavors. By leveraging unstructured data effectively, organizations can achieve a significant edge over their competitors through the extraction of valuable insights from semi-structured and unstructured documents. KlearStack’s advanced AI delivers optimal solutions for automating processes that handle unstructured data, making operations more efficient. Our services include invoice automation, purchase order processing, receipt capture, consumer durable loans, multi-vendor management, trade finance process automation, two-wheeler loan automation, and autonomous loan processes for used cars. With our unique template-less AI/ML technology, businesses can eliminate the need for extensive time spent creating and updating templates, leading to a remarkable productivity boost of up to 200%. This innovative approach not only streamlines operations but also enhances the ability to analyze and utilize data effectively for informed decision-making.

What is Kanverse?

The Kanverse AP Invoice Automation platform streamlines document processing workflows for businesses through intelligent automation. By integrating various AI technologies—such as Computer Vision, Natural Language Processing, Machine Learning, and Fuzzy Logic—along with established business rules and workflows, Kanverse achieves comprehensive automation from start to finish. This platform facilitates the ingestion, extraction, processing, validation, and publication of invoices and other accounting documents to various downstream business applications, including Oracle EBS, Oracle Fusion, NetSuite, and Microsoft Dynamics. The Kanverse AI engine employs advanced technologies that provide an impressive data extraction accuracy rate of up to 99.5% right out of the box. With the power of AI and automation, Kanverse efficiently processes a wide array of document types, transforming unstructured and skewed data into valuable insights while simultaneously lowering operational costs across business functions. By introducing intelligent automation, the platform eliminates the need for manual, repetitive, and tedious tasks, enabling staff to concentrate on more critical business activities. Furthermore, it enhances data protection measures to safeguard Personally Identifiable Information (PII) and mitigate the risk of fraud, ensuring a comprehensive approach to document processing.

Media

Media

Integrations Supported

Integrations Supported

Boomi
COINS
Dynamics 365 Remote Assist
Guidewire
Majesco
NetSuite
Oracle API Management
Oracle Aconex
Oracle Fusion Cloud ERP

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Not to be disclosed
Free Trial Offered?

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
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
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

KlearStack

Date Founded

2018

Company Location

United States

Company Website

www.klearstack.com

Company Facts

Organization Name

Kanverse.ai

Date Founded

2020

Company Location

United States

Company Website

www.kanverse.ai/

Categories and Features

Categories and Features

Accounts Payable

Approval Process Control
Bank Reconciliation
Duplicate Payment Alert
Fraud Detection
Vendor Management

AI Insurance

Not specified

AP Automation

Not specified

Claims Processing

Claim Resolution Tracking
Compliance Management
Electronic Claims
Forms Management

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