Core Capabilities

From ingestion to knowledge retrieval, fully automated

An AI-native document intelligence accelerator that turns high-volume, unstructured documents into structured, actionable data — at speed and scale.

Printed forms and statements laid out for processing
From page to structured data
From page to structured data Ingest, read, understand, validate and deliver — a five-stage document pipeline in which every page keeps its own audit trail, retention rule and access record. 01 Ingest Bulk upload, email, scanner and API intake 02 Read OCR, handwriting and image enhancement 03 Understand ML classification and LLM field extraction 04 Validate Rules, AI checks and exception queues 05 Deliver Structured export, API and RAG retrieval Every page keeps its audit trail, retention rule and access record EXCEPTIONS ARE A QUEUE, NOT A FAILURE — THE PIPELINE KEEPS MOVING
Validate is the stage that decides whether the rest is trustworthy. An extraction engine without an exception queue does not remove the manual work, it hides it.
Ingestion — Bulk upload, email ingestion, scanner integration and API submission
OCR & Vision — High-accuracy OCR with handwriting support and image enhancement
Classification — Automatic document type identification using ML models
AI Extraction — Field-level data extraction using LLMs and template-based engines
Validation — Rule-based and AI-assisted validation with exception queues
Workflow — Configurable review, approval and escalation workflows
Output & Integration — Structured data export, API output and system integration
Knowledge Retrieval — RAG-based Q&A and semantic search over processed documents
Audit & Compliance — Full processing audit trail, retention controls and access management
Industry applications

BFSI — KYC documents, loan files, account opening, trade finance. Healthcare — patient records, prescriptions, insurance claims. Enterprise — contracts, invoices, HR documents, compliance files. Education — admissions and student records.

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