Parsewise transforms complex documents into validation information that business experts can trust and verify. We save enterprises hours each day by automating human data tasks across analytics, benchmarking, and reporting workflows.
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Built for Decision-Makers Where Every Detail Matters
Investment Management
Make faster and better investment decisions by automating fund portfolio evaluation and streamlining ESG compliance reporting.
Life Sciences
Shorten time to market by speeding up manufacturing documentation and medical content review cycles.
Insurance & Reinsurance
Streamline underwriting decisions based on automated portfolio submission reviews for reinsurers and exhaustive risk assessments.
Your Industry
We can customize our product to your use case to improve data extraction speed and reliability, ultimately helping you make better decisions faster.
How Parsewise Works
Step 1: Add Documents
Upload or sync your documents.
Step 2: Set Structure & Validations
Select pre-configured data agents or create your own, including your organizational knowledge and validations.
Step 3: Resolve Inconsistencies
You're smarter than LLMs. Our agents will proactively ask for your expertise.
Step 4: Get Validated Data
Download an Excel or synchronize validated data with your database.
Explore Platform
Features enabling trusted insights instead of confident falsehoods
Agents learn organizational expectations and adapt.
No more static data extraction.
We trace every single output (text, number, date, etc.) to its exact source and highlight it. No more black boxes.
Business experts directly review and modify data extraction logic and consistency check strategies. No more re-prompting.
Agents exhaustively parse data, proactively flagging issues.
No more second-guessing.
Explore Platform
Enterprise-Grade Security
GDPR
Encrypted in transit and at rest
No training on customer data
Built With Experience & Support From
Say goodbye to data monkey work!
Experience the future of extracting reliable insights from complex documents with Parsewise.
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