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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 Data Lakes on AWS?

A multitude of Amazon Web Services (AWS) users are in search of a data storage and analytics option that outperforms traditional data management systems in terms of flexibility and agility. The emergence of data lakes has proven to be a groundbreaking and increasingly popular approach for data storage and analysis, allowing businesses to manage a wide array of data types from multiple sources within a single repository that supports both structured and unstructured data. AWS Cloud offers vital elements that empower customers to develop a secure, versatile, and cost-effective data lake. These elements include AWS managed services that facilitate the ingestion, storage, discovery, processing, and analysis of diverse data formats. To support clients in building their data lakes, AWS presents a thorough data lake solution that acts as an automated reference implementation, laying out a highly available and economical data lake architecture on the AWS Cloud, complemented by a user-friendly console for searching and accessing datasets. Additionally, this solution not only improves the accessibility of data but also simplifies the entire data management process, ultimately leading to enhanced operational efficiency for organizations. As a result, companies can leverage these advantages to make more informed decisions based on their data insights.

Media

Media

Integrations Supported

Integrations Supported

Rocket Data Replicate & Sync
VE3 DataWise

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

KlearStack

Date Founded

2018

Company Location

United States

Company Website

www.klearstack.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/solutions/implementations/data-lake-solution/

Categories and Features

Categories and Features

Data Analysis

Not specified

Data Lake

Not specified

Data Management

Not specified

Popular Alternatives

Popular Alternatives