Cogniquest

Cogniquest is a context-aware document intelligence platform combining traditional AI and generative AI for intelligent document processing with human-like document understanding.

Cogniquest

Overview

Founded in 2022 and headquartered in Bengaluru, India, Cogniquest develops AI-powered document intelligence solutions. The company was founded by Satish Grampurohit (CEO), Girish N Kerodi (CBO), Subramanya Thejaswi (CPO), Nathaniel N (Head of Engineering), and Harsha A C (CTO). Cogniquest raised $1.2M in seed funding from Cedar IBSI Capital with participation from over 25 angel investors. The platform serves banking, financial services, insurance, pharma, healthcare, supply chain, and ESG sectors.

Key Features

Context-Aware AI: Models that extract text and understand its meaning within business processes, combining traditional AI with Gen AI/LLM
Lean Learning: Achieves high accuracy with minimal training samples
Intelligent Chunking: Breaks down large unstructured documents into meaningful structured components
Advanced Layout Analysis: Understands document structure and preserves information hierarchy for context analysis
Domain-Specific Adaptability: Applies industry-specific entities (drug names) and named entities (person names) for enhanced accuracy
Human-Like Understanding: Processes complex documents with contextual comprehension

Use Cases

Banking and Financial Services Document Processing

Financial institutions deploy Cogniquest to automate document workflows and extract insights from complex financial documents. The context-aware AI understands document meaning within business processes, reducing manual data collection time.

Healthcare and Pharma Documentation

Healthcare organizations use Cogniquest to process medical records and pharmaceutical documents. The platform applies domain-specific entities like drug names and medical terminology, performing intelligent extraction with industry-specific accuracy.

Supply Chain and ESG Reporting

Companies leverage Cogniquest for supply chain documentation and ESG disclosure processing. The intelligent chunking capability breaks down large unstructured reports into structured components, while advanced layout analysis preserves information hierarchy for contextual understanding.

Technical Specifications

Feature	Specification
AI Architecture	Context-aware (traditional AI + Gen AI/LLM)
Learning Approach	Lean learning with minimal training samples
Document Processing	Intelligent chunking, advanced layout analysis
Entity Recognition	Domain-specific entities, named entity recognition
Industries	Banking, financial services, insurance, pharma, healthcare, supply chain, ESG
Context Understanding	Human-like document comprehension
Adaptability	Industry-specific customization