Parsewise deploys AI agents that analyze entire document corpora – thousands of documents, one run. Instead of prompting single PDFs, agents extract, cross-reference, and reason across the entire batch, with every output anchored to its exact source for full traceability. No more black box reasoning. Users configure and launch agents without code, across any document type. No black boxes. No engineering. No bottlenecks.
My co-founder Greg and I spent years building data infrastructure for some of the world's largest organizations. One pattern kept showing up: teams with incredibly sophisticated extraction pipelines still struggled to reason across big document corpora.
With the latest codegen tools, it only gets worse. Teams unsuccessfully finetune RAG systems and try to build custom UIs to integrate documents into chat interfaces. The results: zero business impact. Processes stay manual and error-prone while money is set on fire.
We built Parsewise to fix this. Our AI agents don't just extract data, but understand context, cross-reference across documents, and trace every answer back to the source. We call the underlying technology the Context Graph, and it's what lets Parsewise stay reliable even when documents are messy, inconsistent, or incomplete.
Today we're launching Navi, our agentic intelligence engine. Think of it as “Cursor for document work” or the analyst you always wanted: reads everything, forgets nothing, and shows its work.
Don't just take our word for it, explore the real product:
We'd love your feedback, especially if you work with complex documents. What we've built for insurance and finance applies anywhere documents drive decisions.
Hey PH 👋 Max here, CEO & co-founder of Parsewise.
My co-founder Greg and I spent years building data infrastructure for some of the world's largest organizations. One pattern kept showing up: teams with incredibly sophisticated extraction pipelines still struggled to reason across big document corpora.
With the latest codegen tools, it only gets worse. Teams unsuccessfully finetune RAG systems and try to build custom UIs to integrate documents into chat interfaces. The results: zero business impact. Processes stay manual and error-prone while money is set on fire.
We built Parsewise to fix this. Our AI agents don't just extract data, but understand context, cross-reference across documents, and trace every answer back to the source. We call the underlying technology the Context Graph, and it's what lets Parsewise stay reliable even when documents are messy, inconsistent, or incomplete.
Today we're launching Navi, our agentic intelligence engine. Think of it as “Cursor for document work” or the analyst you always wanted: reads everything, forgets nothing, and shows its work.
Don't just take our word for it, explore the real product:
Insurance claims triage: https://demo.parsewise.ai/insurance-claims-triage
Reinsurance recoveries: https://demo.parsewise.ai/reinsurance-recovery-optimization
Investment diligence: https://demo.parsewise.ai/investment-diligence
Mortgage underwriting: https://demo.parsewise.ai/mortgage-underwriting
Sign up to try it for free at https://www.parsewise.ai/get-started
We'd love your feedback, especially if you work with complex documents. What we've built for insurance and finance applies anywhere documents drive decisions.
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