cogniquest
AI-powered document intelligence platform combining traditional AI and generative AI for context-aware document processing in financial services and healthcare.
Overview
Founded in 2022 in Bengaluru, India, by Satish Grampurohit (CEO), Girish N Kerodi (CBO), Subramanya Thejaswi (CPO), Nathaniel N (Head of Engineering), and Harsha A C (CTO). The company initially raised $1.2M in seed funding from Cedar IBSI Capital with participation from over 25 angel investors. In August 2025, cogniquest secured additional investment from Cedar-IBSi Capital's ₹250 crore B2B FinTech fund, becoming one of only two companies selected for the fund's initial portfolio. This investment provides access to institutional backing from Muthoot Finance and IIFL Capital, positioning the company within the banking infrastructure transformation market as financial institutions shift toward B2B FinTech solutions.
Key Features
- Context-Aware AI: Combines traditional AI with Gen AI/LLM to understand document meaning within business processes
- Lean Learning: Achieves accuracy with minimal training samples
- Intelligent Chunking: Breaks large unstructured documents into structured components
- Advanced Layout Analysis: Preserves information hierarchy for context analysis
- Domain-Specific Entities: Applies industry-specific terminology (drug names, financial terms)
Use Cases
Banking and Financial Services
Financial institutions deploy cogniquest to automate document workflows and extract insights from complex financial documents, leveraging the platform's context-aware AI for business process understanding.
Healthcare and Pharmaceutical Documentation
Healthcare organizations process medical records and pharmaceutical documents using domain-specific entity recognition for drug names and medical terminology.
Supply Chain and ESG Reporting
Companies use intelligent chunking to break down large unstructured reports into structured components while preserving information hierarchy.
Technical Specifications
| Feature | Specification |
|---|---|
| AI Architecture | Traditional AI + Gen AI/LLM hybrid |
| Learning Approach | Lean learning with minimal samples |
| Document Processing | Intelligent chunking, layout analysis |
| Entity Recognition | Domain-specific and named entities |
| Target Industries | Banking, financial services, insurance, pharma, healthcare, supply chain, ESG |
Resources
Company Information
Headquarters: Bengaluru, India
Founded: 2022
Leadership: Satish Grampurohit (CEO), Girish N Kerodi (CBO), Subramanya Thejaswi (CPO), Nathaniel N (Head of Engineering), Harsha A C (CTO)