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Document Intelligence & Automation

Transform unstructured documents into actionable intelligence with AI-powered automation and data enrichment. The Document Intelligence and Automation solutions offered by our company change the way businesses handle their information processing completely. Machine learning, natural language processing (NLP), and optical character recognition (OCR) are the main technologies behind the intelligent automation that we provide to our customers. This kind of automation can extract, classify, and confirm the data at a very high rate, which in turn reduces the manual effort and error in data handling.

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Description

We create AI-based systems for document automation that have the capability of comprehending, extracting, and structuring the data from cumbersome and non-organized sources such as invoices, contracts, forms, and reports. By using deep learning-powered OCR, NLP-based entity recognition, and contextual enrichment together, we make it easy for the document-heavy workflows and thus improve data usability.
Our systems come with the support of enterprise-grade APIs as well as databases, thereby guaranteeing the large-scale document ecosystems' seamless ingestion, processing, and decision support.

Knowledge Base

Methodology

Step 1
Document Ingestion & Classification

We characterize documents on an automated basis by employing semantic similarity and layout recognition through machine learning models.

Step 2
Data Extraction & Recognition

Multi-format ingestion pipelines, which allow for the inclusion of PDFs, images, scanned forms, and emails, are a part of the integration process. AI-powered OCR engines like Tesseract, Google Vision AI, and Azure Form Recognizer pull out text and table data.

Step 3
Contextual Data Enrichment

We augment the extracted information through the use of knowledge graphs, metadata mapping, and external data APIs; thus, the data is organized and contextualized for analytics or integration.

Step 4
Validation & Quality Assurance

Automated validation pipelines check the extracted data against internal databases or business rules, applying confidence scoring and anomaly detection to guarantee the data's reliability.

Step 5
Integration & Workflow Automation

The processed data is automatically pushed into ERP, CRM, or ECM systems via APIs, RPA bots, or event-driven pipelines—this allows for complete intelligent workflow automation from start to finish.

A few of our flagship implementations of production-ready systems

G20
Ministry of Finance, Government of India
Ministry of Tourism, Government of India
Government of New South Wales | Investment NSW
Sulzer
Amul | The Taste of India
The Cosmos Co-Operative Bank Limited
Ellucian
ONDC | Open Network for Digital Commerce
Dr. Reddy's Foundation
IBM Quantum Computing
Business Standard
ThePrint

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Let’s Redefine How You Handle Information!

From ingestion to enrichment, our Document Intelligence solutions unlock the value hidden in unstructured data. We help businesses automate document-heavy workflows, enhance accuracy, and improve decision velocity with AI that learns and evolves continuously.

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Invoices, receipts, contracts, reports, handwritten notes, and multi-page scanned documents— formats like PDF, JPEG, TIFF, and DOCX are all included.

Our extraction precision is about 95–99% and is constantly enhanced with adaptive learning and feedback loops.

Certainly. By utilizing deep learning-based handwriting recognition (HWR), we can extract and decipher cursive or printed handwriting in various languages.

The OCR merely records text, but our system comically captures context—through NLP and layout analysis, it extracts relations, categories, and meanings, etc.

All information is handled in encrypted, access-controlled environments that meet GDPR, SOC 2, and ISO 27001 standards.