Data Digitization as a Service (DDaaS) platform that offers Cognitive Solutions for Digital Data Capture and Automation

As most companies and organizations around the world are on the path of digital transformation, the processing of big data becomes the need of the hour. With large volumes of data added each day, manual processing of data consumes a lot of time, resources, and data entry work. Many times, it does not yield accurate results and results in huge losses. 

With evolving technologies, AI/NLP based solutions are proving to be more effective and efficient. Hence, using AI/NLP based solutions to mine data makes data processing faster, accurate, and less expensive.


A Data Digitization Platform

saaransh is an AI-based DDaaS Platform designed by Aptus Data Labs to help organizations capture digital data to extract insight and plan business strategies. 

saaransh utilizes RPA, mobility, AI, ML, NLP, and orchestration technology to extract information from unstructured data like forms and documents. 

Powered by image processing, AI, NLP, and ML technology, saaransh can also capture data from both printed and handwritten forms and documents as well as signatures and non-machine readable data with image processing features. saaransh enables barcodes, QR codes, and optical character recognition.


saaransh resolves the business challenges faced by enterprises

The main business challenges faced by enterprises on a global scale are:

saaransh – Solutions

saaransh resolves all business challenges faced by enterprises by:

Extracting metadata & other information from documents quickly Handling of large volumes of data and process at scale Integrating with document repositories like CRM, SharePoint, shared drives, document management, using API connect reating customized workflow and alert process for specific requests
Digitizing your business with NLP, AI, NLP, and RPA integration
Automating data extraction for various industries requirements
Being compatible with on-premise, on-cloud, and cloud-native applications
Accurate data mining and downstream processing
Handling low OCR and screwed document
Monitoring quality assurance (QA) process for audit and record-keeping
Giving flexibility to business users to edit the data columns and missing values
Document summary creation

saaransh can be easily used to extract information from several different documents and files. Some of them are:


saaransh – Benefits



Industrial Applications

saaransh is a practical solution to mine and process data in industries that require accurate results.


Identity documents (KYC), Loan applications, Cheque book processing, and contract document processing


Pharma - scientific document processing, internal audit, quality assurance, and metadata management

Retail /CPG /Manufacturing /Corporate sectors/Telco /Banking

Receipts, Invoices processing, employee claims and bill processing, Corporate SOP, mass documents processing, quality assurance, and call center


Contract Management, Legal Processing, Loan approvals, and background verification


Prescriptions, medical records, and diagnostic reports

Recruitment Firms

Resume, Cover letters, Employment contracts, and background verification


Claim forms, Claim approvals, and insurance document processing


Answer sheets evaluation, and validation & verification

Law Firms

Case documents, contracts, notices, verdicts, and compliance documents

Related Case Studies

Data Digitization and Meta Data Automation

Equipped a world specialist insurance market to mine meta data accurately and increase business performance


Claim & Expense Analytics and detecting fraud for a large Indian Manufacturing company

Identify suspicious claims of 12% of the claim data submitted for the last 24-months based on the behavioral pattern of expenses claim and supporting materials. This has saved the cost of INR 120 Cr for the business


Text Analytics, Information Retrieval and NLP Functionality for the world’s leading contract & document management firm

Enabled a document management firm to mine data accurately and improve operations efficiency through automation

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