Parsewise (YC X25)

Risk Decisions at Scale. Book a demo at

[Greg Csegzi @GCsegzi]

@parsewise is SOTA on Databricks OfficeQA benchmark, over Fable, GPT5.5

All while using Gemini flash models, showing that many use cases will go towards cheaper, faster models.

Results and tech breakdown: https://t.co/Zbgsd4bQs2

Props to @databricks, @superannotate, @USAFacts

[Parsewise (YC X25) @parsewise]

Agentic multi-doc processing, now available via our API: https://t.co/Kwb9hDSX5n

[Greg Csegzi @GCsegzi]

Just launched the API for agentic multi-document processing: https://t.co/0DhCbV3El3

Instead of duct taping an extraction pipeline across parsing, classifying, extracting, resolving, and building a custom validation UI, you can achieve all of that in a single API call.

[Max Hofer @maximilianhofer]

Demo – Financial metrics spread across reports, numbers are restated, and definitions shift.

By the time inconsistencies surface, they've already affected your pricing.

Parsewise agents flag them automatically.

https://t.co/SkR7scaIvh

[Max Hofer @maximilianhofer]

Reinsurance teams miss recoveries every day. Systematically reconciling claims and policies is slow and error-prone.

We match them at scale. Single question. Results in minutes, not weeks.

https://t.co/SkR7scaIvh

[Max Hofer @maximilianhofer]

Insurance portfolios include tens of thousands of claims. Which ones actually matter?

Navi answers this question in minutes.

Demo #1 of Risk Workflow Week: Claims Portfolio Triage 👇

https://t.co/SkR7scaIvh

[Greg Csegzi @GCsegzi]

Can you catch LLM omissions?
Mostly no. And false negatives are even worse than hallucinations.

Parsewise does exhaustive search -> you get reasoning traces even for cases where the LLM chooses to ignore details.

E.g. married person changed their name - should it be included?

[Greg Csegzi @GCsegzi]

🔎 Interpretability of LLMs has gotten worse.

For better responsibility quality, now there is more reasoning and longer walls of text. This gets worse with long horizon agentic analyses.

We built @parsewise to fix that and help you verify fast.

[Max Hofer @maximilianhofer]

We redesigned how business experts interact with AI agents on @parsewise: fewer pages, faster decisions, and a platform that remembers how you work. Our Founding Engineer, Mark, wrote about the thinking behind it: https://t.co/IwInw0Dyy9

[Max Hofer @maximilianhofer]

We just launched @parsewise on Product Hunt!

https://t.co/zKXGHLEPaC

Public demo projects in the thread 👇

[Max Hofer @maximilianhofer]

We just launched Navi.

Create virtual data analysts for complex, data-heavy work.

Most tools extract data. The hard part is turning it into actionable evidence across 25k+ pages, emails, and DBs.

As easy as ChatGPT. As reliable as your best analyst.

https://t.co/FyikeYbQaC

[Parsewise (YC X25) @parsewise]

We've been 👨🏼‍🍳 Launching Project Polaris next week ...

[Parsewise (YC X25) @parsewise]

@therocketlover That works now!

[Parsewise (YC X25) @parsewise]

Hello world. Goodbye, data monkey work!

[Parsewise (YC X25) @parsewise]

Thank you, @ycombinator, for supporting our mission to end data monkey work!

[Y Combinator @ycombinator]

Parsewise (@parsewise) turns complex documents into validated data that business users can trust, streamlining analytics, benchmarking, and reporting workflows.

https://t.co/s0Lo41av1l

Congrats on the launch, @maximilianhofer and @GCsegzi!