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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 DryvIQ?

Develop a deep and thorough comprehension of your unstructured enterprise data to evaluate risks, mitigate threats and vulnerabilities, and enable better business decisions. Classify, label, and organize unstructured data on an enterprise-wide scale in a systematic manner. Promote quick, accurate, and comprehensive identification of sensitive and high-risk files while delivering extensive insights through artificial intelligence. Maintain continuous visibility into both newly created and existing unstructured data. Enforce policy, compliance, and governance protocols without requiring manual user intervention. Uncover concealed data while methodically categorizing and organizing sensitive information and other data types at scale, facilitating informed decision-making regarding data migration approaches. Additionally, the platform accommodates both simple and intricate file transfers across a wide range of cloud services, network file systems, or legacy ECM platforms at scale, thereby boosting operational efficiency and data management. This comprehensive strategy empowers organizations not only to manage their data effectively but also to leverage it for a competitive edge in their respective markets. Ultimately, by enhancing data governance, organizations can foster a culture of accountability and responsiveness in their data handling processes.

Media

Media

Integrations Supported

Box
Dropbox
Google Workspace
Microsoft 365
Microsoft Azure
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams

Integrations Supported

Box
Dropbox
Google Workspace
Microsoft 365
Microsoft Azure
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams

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

KlearStack

Date Founded

2018

Company Location

United States

Company Website

www.klearstack.com

Company Facts

Organization Name

DryvIQ

Date Founded

2011

Company Location

United States

Company Website

dryviq.com

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

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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