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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

DAN, short for Data Automation Ninja, is an innovative and complimentary AI-driven platform for intelligent document processing, created by SDLC Corp. This tool is designed to assist organizations in extracting structured information from various types of documents such as invoices, receipts, contracts, bank statements, resumes, PDFs, and scanned files. By leveraging artificial intelligence, optical character recognition (OCR), and document classification techniques, DAN effectively identifies vital data and transforms unstructured documents into actionable insights. Among its capabilities are field-level confidence scoring, options for human verification, customizable extraction fields, processing of multi-page documents, and exports in JSON and Excel formats. Companies can effortlessly upload their documents, meticulously review and amend the extracted data, and streamline their workflows using REST APIs and webhooks. Tailored specifically for teams in finance, accounting, human resources, procurement, logistics, and operations, DAN aims to minimize manual data entry efforts while enhancing the efficiency of document processing tasks. Furthermore, its user-friendly interface and powerful tools make it an essential resource for businesses striving for greater productivity and accuracy in their operations.

Description

Enterprises need to have the right insights to make informed decisions and serve customers. This is why silos are so common in large volumes of data, including invoices, physical contracts, applications, as well as other data. 80% of enterprise data is still unstructured and traditional methods have not been able to move the needle towards automation. This information can be used to transform the customer journey, from loan application through onboarding. Imagine if you could automatically analyze the unstructured data that entered your organization, including emails, statements, customer data, and contracts. Instabase powers solutions that drive revenue across all industries, including banking and insurance as well as healthcare and federal government. You can swap between the best deep learning models available from Instabase and the marketplace; you can also host and manage third-party models on the platform. Transform the cost base and revolutionize how you serve customers.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

ElectroNeek No 
Gmail Yes 
Microsoft Outlook Yes 

Integrations

ElectroNeek Yes 
Gmail No 
Microsoft Outlook No 

Pricing Details

$0
Hosted self-serve access is free. Self-hosted or VPC deployments can be arranged on request.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
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

SDLC Corp

Founded

2015

Website

dan.sdlccorp.com

Vendor Details

Company Name

Instabase

Country

United States

Website

instabase.com

Product Features

OCR

Batch Processing No 
Convert to PDF No 
ID Scanning No 
Image Pre-processing No 
Indexing No 
Metadata Extraction No 
Multi-Language No 
Multiple Output Formats No 
Text Editor No 
Zone Selection Tool No 

Product Features

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

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