Automate legacy data workflows. Our computer-vision pipeline extracts complex tables, text structures and layout hierarchies with flawless accuracy, feeding clean data directly into your business tools.
Kumaran's Intelligent Document Parser (IDP) is an enterprise-grade AI solution engineered to transform unstructured document streams into structured, actionable intelligence. By integrating deep learning with advanced computer vision, our platform automates complex data extraction workflows with unprecedented precision, eliminating operational friction.
Over 80% of enterprise data is locked inside unstructured PDFs, scanned bank statements, invoices and resumes.
Relying on manual human data entry creates massive operational friction. It drains valuable employee hours, drives overhead costs and severely limits your ability to scale operations.
Traditional OCR tools are rigid. They treat pages as flat text rather than complex visual landscapes.
Standard software completely breaks down when encountering varying font hierarchies, borderless tables or multi-page financial documents, requiring constant human intervention.
Shifting document formats cause traditional scraping tools to misalign text and lose spatial context.
A single mis-mapped table cell or missed line item results in corrupted data streams. For finance and HR teams, this means severe compliance risks and costly auditing errors.
We solve these challenges through a highly configurable, multi-model document intelligence pipeline. Utilizing custom-trained Object Detection frameworks (YOLO and Detectron), our system interprets visual structures natively. Trained from scratch on diverse domain documentation, our architecture intelligently maps complex layouts without relying on static templates.
A backend system driven by specialized deep learning models.
Instead of a generic single-pass scan, our system breaks the document down into separate vision tasks, deploying custom-tuned YOLO and Detectron models to guarantee precise extraction.
Our first object detection model acts as a visual layout engineer.
It instantly recognizes and classifies document structures, perfectly capturing the relationships between main titles, H1, H2 and H3 tags. This ensures that the semantic context of your data remains fully intact.
A dedicated computer-vision network isolates and audits tabular structures.
It flawlessly processes borderless, complex or multi-nested tables. By mapping individual cell coordinates, it reorganizes visual data into perfectly aligned rows and columns without shifting data points.
Machine learning models trained natively from scratch.
We do not rely on generic, out-of-the-box datasets. The platform is pre-optimized for high-stakes corporate assets including financial documents, bank statements, invoices and resumes.
Kumaran delivers a highly adaptive, enterprise-grade document intelligence platform rather than rigid, out-of-the-box software.
Swap, retrain or fine-tune individual backend models to match evolving document types, no rigid templates, no vendor lock-in.
YOLO and Detectron models interpret document layouts natively, preserving complex tabular relationships and text hierarchies with flawless accuracy.
Models trained specifically on financial documents, bank statements, invoices and resumes, not generic out-of-the-box datasets.
Clean, structured JSON output integrates directly into enterprise databases, analytical tools and ERP workflows with zero operational friction.
Deep learning precision eliminates the manual intervention and transcription errors that plague legacy OCR and rule-based tools.
Handles high-volume, multi-format document streams at enterprise scale, removing human bandwidth as the bottleneck.
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Real outcomes delivered through document intelligence engagements across enterprises.
Legacy application performance transformed through a seamless Informix-to-Oracle migration — leveraging Kumaran's deep database modernization expertise.
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A US automobile giant with 12 manufacturing plants improved mainframe batch SLA from 32% to 99% using Kumaran's proprietary NxTran tool - delivering an estimated $13.13 million in 5-year savings by migrating COBOL/JCL to Java Spring Batch and z/OS DB2 to LUW DB2.
A US automobile manufacturer modernised its PowerBuilder V8-based Warranty Management System to a modern .NET web application using agile methodology - completing discovery to deployment in just 13 months and eliminating all legacy technology risk.
Kumaran was engaged by Microsoft India to deliver a B2B data exchange solution for a major enterprise with 900 wholesale dealers - replacing manual Excel-based data transfer with a centralised SQL Server platform supporting both internet-connected and offline XML-based exchange.
One of Canada's largest furniture retailers modernised its mainframe EDI application to HTML5, Angular, and J2EE using Kumaran's NxTran tool - completing the migration on time and within budget, and cementing a 15-year strategic IT partnership.
A Canadian government ministry re-engineered its legacy Clipper audit application to a modern J2EE web platform on WebSphere 4.0 - enabling 4,000 staff to access the system from any location across Canada with a centralised DB2 database and multi-language GUI.
One of Ontario's largest colleges validated the modernisation of GeneSIS - its Student Information and Administration System - from a legacy platform to .NET, preserving every business rule across scheduling, student progression, and Ontario policy compliance for 40,000+ students.
A major oil shipping company re-engineered its mission-critical Risk Assessment System from Oracle to Microsoft .NET - achieving zero downtime during migration, full internal system embedding, and web service-based third-party data exchange, winning the engagement against Tier 1 competitors.
The Foreign Trade Standards (FTS) division partnered with Kumaran to build ADES - a secure internet-based Authorization Document Entry System supporting Pre-Shipment Inspection across 11 government clients and offices in 94 countries, handling 1,000+ daily transactions with 24/7 availability.
A global personal care products retailer migrated its Taiwan ERP application - 318 objects across Finance, Product Management, and Order Processing - from Oracle Forms 4.5 character mode to a fully web-based Oracle Forms 6i GUI, with Traditional Chinese character set preserved across all tiers.
A healthcare technology company partnered with Kumaran to build a highly secure, HL7-V3 compliant Personal Health Record system - delivering offline capability, bidirectional EMR integration, full file encryption, DICOM imaging support, and extensible patient search in a portable, multi-browser solution.
A leading manufacturing company replaced its fragile Assembly Line integration subsystem with a cloud-compatible platform built on Apache Camel and Red Hat JBoss Fuse 6.3 - unifying 11 internal systems and 60+ data feeds with no impact to connected systems.
The Ontario College Application Service migrated its SSOLA system from Oracle Forms 6i to a thin-client Java solution - eliminating the JInitiator plug-in dependency that blocked student access and achieving 80% reduction in conversion time using Kumaran's Forms-to-Java migration tools.
A major US public sector employment corporation migrated its legacy Oracle Forms 6i applications to a modern ASP.NET platform - achieving 30% cost savings versus a ground-up rebuild while preserving all functionality, role-based security, and enabling centralised deployment.
A US public sector environmental agency migrated its complex PowerBuilder 6.5 environmental management platform to Oracle Forms 6i and Reports 6i using Kumaran's semi-automated PB*Converter tool - preserving all functionality across permit management, inspection, violation tracking, and complaint handling.
A leading telecom network infrastructure company modernised its AccessCare Operating Support System from legacy Oracle Forms 6i to a full J2EE platform - delivering an exact one-to-one migration, benchmarked to support 1,200 simultaneous users with zero user retraining required.
The fifth-largest bank card provider in the USA achieved 100% migration accuracy from Informix 4GL and ESQL/C to Oracle PL/SQL packages and Pro*C - using a tool-assisted approach with manual quality assurance to replicate all original functionality with improved performance.
The largest transit authority in North America modernised its capital funding system to a J2EE platform, achieving 10x the processing volume of the legacy system with real-time workflow automation, accelerated vendor payments, and open integration across J2EE, SOA, and open-source stacks.
A leading retail bank in Canada decomposed its monolithic Loan Origination and Processing System into independently deployable Spring Boot microservices on Red Hat OpenShift - eliminating full regression cycles and system-wide downtime with every code change.
A leading US federal healthcare agency modernised its Oracle Forms-based grant management system to a modern J2EE web platform - achieving 30% cost savings versus rebuilding from scratch and enabling online grants management across 3,000 users.
Enterprise meeting transcription in MS Teams presented significant challenges for a Tier-1 Global Bank. Transcription ownership is tied to the meeting organiser, and bots require higher-level permissions that are unsuitable for enterprise environments. Existing MS Teams Copilot solutions locked the
A Tier-1 Global Bank was extensively reliant on Informatica for their ETL processes, resulting in high licensing, infrastructure, and operational costs. The client required a cost-effective, modern, cloud-based alternative and identified Databricks as their preferred target platform for modernization
A Tier-1 Global Bank needed to validate 600+ printed customer communication letters - covering images, text, and formatting - against strict print specifications. Each test case was manually written by the client, requiring precise validation of formatting, text positioning, and layout adherence. Th
Customer service representatives at a Tier-1 Global Bank were tasked with answering complex queries across a wide range of product procedures, rules, and features. The information needed to respond accurately was dispersed across the product website, internal SharePoint, documents, and training mate
The client had developed 600+ KornShell (KSH) and Sybase SQL custom scripts over the years, relying on an outdated version of FIS Mid-Office. When FIS announced a tight deadline for sunsetting support of this version, the client was required to migrate all custom scripts to a new version compatible
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