Parsewise

Parsewise is an AI-powered platform that automates data extraction, resolution, and validation from document packages for investment and underwriting teams.

Overview

Parsewise was founded in 2024 by Max Hofer (CEO) and Greg Csegzi (CTO) as part of Y Combinator's Spring 2025 batch. The platform serves investment management, reinsurance, and life sciences sectors, helping risk and compliance teams, analytics professionals, and data engineers accelerate document-intensive workflows.

The platform applies AI to parse complex document packages through extraction and document-understanding while maintaining end-to-end traceability. Every extracted output is traced to its exact source and highlighted with bounding boxes. Business experts retain granular control over data extraction logic and consistency check strategies. Parsewise has helped companies reduce week-long document processing tasks to hours.

Max Hofer holds a PhD in Computer Science and Economics and previously worked at Bain, while Greg Csegzi comes from Palantir with experience in life sciences and insurance sectors.

Key Features

End-to-End Traceability: Every extracted data point is linked to its source location with bounding boxes
Granular Human Control: Business experts directly review and modify extraction logic
Exhaustive Processing: AI agents parse documents comprehensively and flag issues proactively
Multi-Format Support: Processes PDF, DOCX, XLSX, and PPTX files
Automated Validation: Cross-references and validates extracted data for consistency
Document Package Handling: Processes collections of related documents together
GDPR Compliance: Full compliance with data protection regulations
Data Encryption: Encrypts data both in transit and at rest

Use Cases

Investment Due Diligence

Investment teams use Parsewise to analyze document packages during due diligence processes. The platform extracts financial metrics, operational data, and risk factors from pitch decks, financial statements, and legal documents. It cross-references information across multiple documents and flags inconsistencies, allowing analysts to focus on evaluation rather than manual data collection.

Insurance Underwriting

Reinsurance companies automate underwriting workflows by processing policy documents, risk assessments, and claims histories. Parsewise extracts key underwriting parameters and validates data across document sets. The transparent traceability allows underwriters to verify extracted information and adjust extraction logic for specific policy types or risk categories.

Life Sciences Regulatory Review

Life sciences organizations process clinical trial documentation, regulatory submissions, and research data. The platform extracts structured information from complex scientific documents while maintaining audit trails. Compliance teams verify extracted data by reviewing source highlights and adjust validation rules to meet regulatory requirements.

Technical Specifications

Feature	Specification
Core Technology	AI, automated extraction and validation
Supported Formats	PDF, DOCX, XLSX, PPTX
Key Capabilities	Data extraction, resolution, validation, traceability
Data Security	Encryption in transit and at rest
Compliance	GDPR compliant
Data Policy	Customer documents never used for model training
Target Users	Risk & compliance teams, analytics, data & AI engineers
Industries	Investment management, reinsurance, life sciences