Launch HN: Parsewise (YC P25) – Reason Across Documents with an API

According to Hacker News, Parsewise—a new startup backed by Y Combinator—is solving a chronic problem in data operations: extracting structured information from scattered documents. The platform ingests PDFs, emails, and transcribed calls, outputting organized, schema-compliant data. But unlike typical data extraction, every value comes with its source pinpointed down to the exact words used. That means you can actually verify what the system extracted. Here's the pain point. Processing hundreds of files through language models gets expensive, slow, and hard to trust. Teams need to know their extracted data is accurate and well-sourced. Parsewise handles this by deploying AI agents that reason across an entire document collection at once, rather than page-by-page processing. The founders bring a decade of data transformation experience from roles at Palantir and Bain & Company. The system supports multiple language models, works in private networks, and is open for testing now.

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