{"id":90400,"title":"Parsewise: Extract Validated Data from Complex Documents 🔬","tagline":"Turn complex documents into validated information that business users can trust.","body":"Hi everyone, we’re [Max](https://www.linkedin.com/in/mwhofer/) and [Greg](https://www.linkedin.com/in/gergely-csegzi/), and we’re building [Parsewise](https://parsewise.ai/) 👋\n\n👉🏻 Watch the video: https://youtu.be/ZFNH0M6Q3fw\n\n**❌ The Problem**\n\nBusiness experts waste hours each week on **manual, repetitive data tasks**. Extracting and validating information from complex documents is slow and error-prone. As a result, analytics, benchmarking, and reporting **processes are brittle and expensive**.\n\n**Current AI solutions** like ChatGPT are black boxes that generate **unreliable outputs**. Intelligent document processing tools require technical expertise, resulting in limited productivity gains.\n\n**The data monkey era is over!** We believe that business experts have struggled with complex documents long enough. We 10x their productivity while improving the quality of their outputs.\n\n**✅ The Parsewise Solution**\n\nParsewise extracts trusted information from complex documents, supported by these core features:\n\n* **End-to-end Traceability**: We trace every single output (text, number, date, etc.) to its exact source and highlight it with bounding boxes. _No more black boxes._\n* **Granular Human Control**: Business experts directly review and modify data extraction logic and consistency check strategies. _No more re-prompting._\n* **Exhaustive Processing**: Our agents exhaustively parse data, proactively flagging issues. _No more second-guessing._\n\n👉🏻 Parsewise is easy to use: https://youtu.be/69kEn5cYbvA\n\n**💬 What Our Users Are Saying**\n\n_“We have cut the analysis process from weeks to days, and most importantly, we have more confidence in the results than before.”_\n\n* Head of Family Office\n\n_“The processing took a while, but the results are perfect. We ran the same test with Snowflake’s Document AI, and it was frankly disappointing.”_\n\n* Lead Data Analyst at a Large Asset Manager\n\nWe have helped **cut week-long processes relying on parsing complex documents into hours**.\n\n**🤝 The Team**\n\nWe met studying CS at Oxford University in 2017.\n\n**Max (CEO)**: Ran his first business at 12, founded a data science consultancy next to his PhD, and conducted \u0026gt;20 PE due diligence projects at Bain. BSc, MSc, and PhD in CS and Econ.\n\n**Greg (CTO)**: Built the earliest production AI use cases at Palantir, with top project conversion, working in life sciences and insurance, having been deployed to 6 countries. Ask me about parsing manga-style insurance documents 😉\n\n**🚀 Call to Action: Free a Data Monkey**\n\nWe’re **live with pilot customers**, looking to **free more human data monkeys** of their lousy work!\n\nThe most relevant industries and teams are:\n\n* Industries: Investment management, reinsurance, life sciences\n* Teams: Risk \u0026 compliance, analytics, data \u0026 AI engineers\n\nContact us at [founders@parsewise.ai](mailto:founders@parsewise.ai) for more information and a demo.","slug":"NW4-parsewise-extract-validated-data-from-complex-documents","created_at":"2025-05-14T17:25:55.072Z","updated_at":"2026-04-14T04:26:42.307Z","total_vote_count":81,"url":"https://www.ycombinator.com/launches/NW4-parsewise-extract-validated-data-from-complex-documents","share_image_url":"//bookface-static.ycombinator.com/assets/ycdc/yc-og-image-c440a0ad1dacfb86eeeb343717479cc54d256614449b4ef719977a0a451f8bc8.png","company":{"id":30453,"name":"Parsewise","slug":"parsewise","url":"https://parsewise.ai","logo":"https://bookface-images.s3.amazonaws.com/small_logos/7f1c0c72a7f623d3b80ce3fbde35d6d196e31e5c.png","batch":"Spring 2025","industry":"B2B","tags":[],"search_path":"https://bookface.ycombinator.com/company/30453"}}