# Parsewise

> AI document extraction for insurance risk teams

## At a glance

| Field | Value |
| --- | --- |
| Category | Document Management |
| Type | Solutions Provider |
| Region | EMEA |
| Headquarters | London, United Kingdom |
| Founded | 2024 |
| Stage | Startup |
| Employees | 1-10 |
| Funding | Seed |

## 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

## Category & focus

- 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

## Notable customers

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

## Links

- Website: <https://parsewise.ai>
- Directory profile: <https://insurtechlist.com/companies/parsewise/>
- Linkedin: <https://uk.linkedin.com/company/parsewise>
- Y combinator: <https://www.ycombinator.com/companies/parsewise>

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*Last updated: 2026\-07\-14*