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Parsewise

AI document extraction for insurance risk teams

Document Management Startup Seed
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Overview

Parsewise is an AI document extraction platform for insurance underwriters, brokers, and risk teams in P&C commercial and specialty markets. The company builds software that converts unstructured document packages -- submissions, loss runs, policy schedules, and diligence dossiers -- into structured, machine-readable risk records that can feed downstream underwriting and portfolio workflows.

The platform centers on two delivery modes: a REST API for programmatic integration into existing systems, and Navi, an agent interface that accepts plain English queries against uploaded document sets. Both modes are powered by a proprietary data engine with an insurance-specific risk ontology, cross-document entity linking, and traceable citation output. Supported input formats include PDF, Word, Excel, PNG, email, and database exports. Deployment options include VPC-hosted environments on AWS, Azure, or GCP for data-sensitive workloads.

Founded in 2024 by Greg Csegzi and Max Hofer, Parsewise participated in Y Combinator W25 and raised USD 500K in seed funding from Network VC, Oxonian Ventures, and Y Combinator. Early insurance customers include Compre Group and Thinksurance.

Products & Services

Parsewise API

REST API providing programmatic access to document processing and data extraction. Handles multi-format inputs (PDF, Word, Excel, PNG, email, database exports) and returns structured JSON with cross-document entity links and citation references.

Key Features

  • Multi-format document ingestion
  • Cross-document entity linking and reference tracking
  • Traceable, exportable structured output
  • VPC deployment on AWS, Azure, and GCP

Target Users: Carriers, MGAs, and brokers integrating document parsing into existing underwriting or claims systems

Navi

AI agent interface layered on the Parsewise data engine. Users submit natural language queries against uploaded document sets; the system generates structured responses using insurance-specific terminology and auto-generated query agents.

Key Features

  • Plain English query interface
  • Auto-generated custom agents for repeating workflows
  • Insurance-specific risk ontology built in
  • Traceable, auditable outputs

Target Users: Underwriting teams and risk analysts who want a no-code query surface without API integration

Insurance Risk Automation Workflows

Pre-built workflow templates covering common insurance use cases:

Key Features

  • Submission Triage and Underwriting: Automated parsing of broker submissions for underwriting queues
  • Complex Claims Management: Document extraction and analysis for claims recovery workflows
  • Portfolio M&A Due Diligence: Structured data extraction for run-off and portfolio acquisition diligence
  • Loss Run Extraction: Parsing loss runs into structured risk records for underwriting and pricing

Target Users: Underwriters, claims professionals, and portfolio diligence teams

At a Glance

Founded
2024
Headquarters
London, United Kingdom
Employees
1-10
Funding
Seed

Category & Focus

Category
Document Management
Subcategories
AI Document Extraction Submission Triage Risk Data Structuring
Insurance Verticals
P&C Commercial Specialty/E&S Reinsurance
Target Customers
Carriers, Brokers, MGAs/MGUs, Reinsurers

Customers

  • Compre Group (specialty insurance and run-off)
  • Thinksurance (insurance technology)
  • UBS (financial services)

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Last updated: 2026-07-14