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Parsewise

Parsewise is an AI decision platform that converts complex document packages into structured, traceable insights for underwriting, claims, and portfolio diligence, replacing manual review at scale.

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About

Parsewise is an AI-powered decision platform designed to transform complex, unstructured document dossiers into reliable, structured insights. Created to assist teams in insurance, financial services, and life sciences, the platform streamlines underwriting, claims processing, and portfolio diligence workflows. By automating the extraction and reasoning process, Parsewise allows organizations to improve margins, accelerate diligence, and strengthen regulatory controls without the need for manual, error-prone review. The platform provides a conversational interface called Navi, which allows users to query entire document corpora as easily as using a chatbot while maintaining the traceability required for high-stakes risk decisions.

Functionality is centered on the ability to process thousands of documents simultaneously, maintaining context across large sets to provide traceable, verifiable answers. Parsewise is built to handle heterogeneous document types including PDFs, emails, spreadsheets, and Word documents. It provides automated extraction, cross-document entity linking, and contradiction detection, ensuring that insights are both accurate and auditable. The platform also offers a robust API for developers to integrate these advanced document intelligence capabilities directly into their existing technical stacks.

Some of the key features are:

  • Cross-Document Entity Linking: Natively resolves and links disparate entities across multiple documents into a unified ontology.
  • Contradiction Detection: Identifies conflicting information across sources and presents the user with candidates for manual verification.
  • Full Traceability: Cites specific page and paragraph references for every generated insight to support auditing requirements.
  • Infinite Context: Processes thousands of pages per run while maintaining full context across the entire corpus.
  • Scalable Extraction Agents: Allows users to define custom schemas and business logic for automated, reusable data extraction agents.
  • Enterprise-Grade Security: Offers SOC 2 Type II and GDPR compliance with options for VPC or on-premise deployment.
  • Developer Toolkit: Provides RESTful API endpoints for integration, including word-level coordinate support for custom UI highlighting.

Parsewise operates by enabling users to upload massive document packages, which the system then ingests and indexes. Users interact with the platform through a conversational workspace where they can ask questions in plain English or define specific extraction goals for AI agents. These agents analyze the data, resolve links, and check for conflicts to produce structured outputs such as JSON, CSV, or Excel files. The platform is designed to be as simple as a standard chatbot but as reliable as a professional data analyst, ensuring that every output is backed by verifiable source references.

Some common use cases include:

  • Insurance Claims Management: Quickly identifying high-risk exposures and matching claims against complex reinsurance policies.
  • Asset Management Diligence: Processing data rooms efficiently to surface deal-breaking risks and standardize key performance indicators.
  • Loan File Validation: Automating the review of complete mortgage and SME credit packages to verify data like LTV and DTI ratios.
  • KYC and AML Compliance: Validating compliance documentation at scale to reduce manual review efforts while ensuring audit readiness.

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